EQUIPMENT DIAGNOSTIC DEVICE AND EQUIPMENT DIAGNOSTIC SYSTEM

Abstract

An equipment diagnostic device (100) comprises a leakage current sensor (10), an equipment condition acquisition unit (20) for determining an equipment condition as at least one of a load equipment (1) or a near environment of the load equipment (1), an operating mode determination unit (36) for performing an operating mode of the leakage current sensor (10) in an operating mode for leakage detection during normal times or an operating mode for anomaly diagnosis based on a condition signal output by the equipment condition acquisition unit (20), a leakage current sensor control unit (31) and a diagnostic unit (37) that performs a diagnosis on the load equipment (1) based on a detection signal output by the leakage current sensor (10) and the condition signal output by the equipment condition acquisition unit (20).When the equipment condition meets a switching condition, the operating mode determination unit (36) switches the operating mode of the leakage current sensor (10) to the operating mode for anomaly diagnosis.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to an equipment diagnostic device and an equipment diagnostic system. STATE OF THE ART

[0002] Electrical equipment (e.g., motors and the like) powered by electricity from a power supply is now widespread. Because this equipment is used for extended periods, insulation deteriorates due to aging of insulating elements, component failure or damage, and so on.

[0003] If a leakage current or fault current (hereinafter also referred to as "leakage") flows into a component where insulation has deteriorated, this can lead to an electric shock to the human body or the activation of a leakage current sensor (for example, a residual current device or a residual current relay) located between the power supply and the load equipment. In this case, emergency inspection or protection requires interrupting the supply of electrical power to the load equipment and identifying the cause and location of the leakage or fault. Furthermore, if a component has failed or been damaged, significant time is also required for urgent work (especially for procuring a replacement component, replacing a component, etc.).Therefore, a higher development standard is required for a load equipment diagnostic device.

[0004] Generally, a zero-phase current transformer (ZCT) installed in the residual current device (RCD) or residual current relay (RCD) is used to measure leakage current due to insulation deterioration. Furthermore, a system is known that monitors the insulation based on voltage and leakage information with respect to an electrical path connecting the power supply and the load equipment (see, for example, patent reference 1).

[0005] A leakage current sensor equipped with a zero-phase current transformer is, for example, a so-called passive type sensor and measures the leakage current based on a load resistance connected to both ends of a coil wound around a magnetic core. In recent years, an active type sensor, which uses the fluxgate method of detecting a change in the magnetic field, has also been used as a leakage current sensor (see, for example, patent reference 2).

[0006] To detect or monitor insulation deterioration in an electrical power system, a configuration has been proposed that increases diagnostic accuracy based on signals output by a variety of different sensor types (see, for example, patent reference 3). Furthermore, a device is also known that detects deterioration of load equipment and determines the presence or absence of a component failure or damage based on the frequency spectrum of the electric current detected by a current sensor (see, for example, patent references 4 and 5).Furthermore, a device is also known which determines the presence or absence of a failure or damage of a component of the load equipment based on the result from a vibration sensor installed in the load equipment (see, for example, patent reference 6). REFERENCES ON THE STATE OF THE TECHNOLOGY PATENT REFERENCE Patent reference 1: Publication of Japanese patent application no. 2019-109192 (see Fig. 1) Patent reference 2: Publication of Japanese patent application no. 2013-539538 (see Fig. 2) Patent reference 3: Publication of Japanese patent application no. 2019-135455 (see Fig. 5) Patent reference 4: International publication no. WO 2018 / 087885 (see Fig. 1) Patent reference 5: Publication of Japanese patent application no. 2017-181437 (see Fig. 4) Patent reference 6: Publication of Japanese patent application no. 2021-144054 (see Fig. 1) SUMMARY OF THE INVENTION TASK TO BE SOLVED BY THE INVENTION

[0007] The importance of sensor fusion technology is increasing because it is not easy to measure or assess various properties with just one sensor, such as the deterioration of the load equipment's insulation and the failure or damage of a component within that equipment. While the detection sensitivity of a leakage current sensor varies depending on the purpose and application of the insulation monitoring, the detection sensitivity is generally a fixed value. Therefore, it is difficult to diagnose various events, including insulation monitoring, using only a single leakage current sensor.Although it is also possible to consider a method for changing the detection sensitivity by adjusting the gain of a booster amplifier or power amplifier provided after the residual current device, it is difficult to change the detection sensitivity under normal operating conditions. Furthermore, a method for injecting a test current into the leakage current sensor, as described in patent reference 1, is also difficult because the detection sensitivity needs to be changed frequently under normal operating conditions.

[0008] Furthermore, costs increase if multiple leakage current sensors with different detection sensitivities are arranged in the system, as described in patent reference 3. Costs also increase if the correlation between the load equipment anomaly and the leakage current sensor output signals is not yet known, as the number of leakage current sensors must be increased. Additionally, costs increase if a correlation database is created.

[0009] One objective of the present disclosure, which was undertaken to solve the problems described above, is to provide an equipment diagnostic device and equipment diagnostic system that achieves low cost, simple diagnostics on the load equipment, and high reliability of the diagnostics. MEANS TO SOLVED THE TASK

[0010] An equipment diagnostic device according to one aspect of the present disclosure is an equipment diagnostic device for performing a diagnosis on load equipment powered by electrical energy supplied by a power supply unit via an electrical circuit. The equipment diagnostic device comprises a leakage current sensor for outputting a detection signal in a waveform corresponding to the electrical current exiting the electrical circuit; an equipment condition acquisition unit for acquiring an equipment condition at least as either a condition of the load equipment or a condition of the immediate environment of the load equipment; and an operating mode determination unit for determining an operating mode of the leakage current sensor in an operating mode for leakage detection during normal times or an operating mode for anomaly diagnosis based on a condition signal.The equipment condition acquisition unit determines the operating mode of the leakage current sensor. It also includes a leakage current sensor control unit to cause the leakage current sensor to operate in the mode determined by the operating mode determination unit, and a diagnostic unit to perform diagnostics based on the detection signal output by the leakage current sensor and the condition signal output by the equipment condition acquisition unit. When the equipment condition meets a predetermined switching condition, and the leakage current sensor is operating in leakage detection mode during normal times, the operating mode determination unit switches the leakage current sensor's operating mode to anomaly diagnostic mode.

[0011] According to another aspect of this disclosure, an equipment diagnostic system comprises the aforementioned equipment diagnostic device and a server that communicates with the equipment diagnostic device via a network. The server causes the diagnostics to be performed on the aforementioned load equipment by working in cooperation with the aforementioned diagnostic device. IMPACT OF THE INVENTION

[0012] According to the present disclosure, the equipment diagnostic device and the equipment diagnostic system can be provided which achieve low cost, simple diagnostics on the load equipment and high reliability of the diagnostics. BRIEF DESCRIPTION OF THE DRAWINGS Fig. Figure 1 is a representation of a configuration showing the configuration of an equipment diagnostic device according to a first embodiment. Fig. 2 is a perspective view, which is an example of the configuration of a in Fig. 1 represents the leakage current sensor shown. Fig. 3 is a representation which is an example of the arrangement of the in Fig. 2 represents the leakage current sensor on electrical paths. Fig. 4A is a bra curve of a [unclear text] in Fig. 2 and Fig. 3 depicted magnetic core. Fig. 4B is a graph showing a waveform of an excitation magnetic field in the magnetic core when the current value of a zero-phase current is 0. Fig. 4C is a graph showing the change over time of the magnetic flux flowing through the magnetic core when the zero-phase current value is 0. Fig. 4D is a graph that shows a waveform of a voltage output by the detection coil when the zero-phase current value is 0. Fig. 5A is a bra curve of the in Fig. 2 and Fig. 3 depicted magnetic core. Fig. 5B is a graph showing the waveform of the excitation magnetic field in the magnetic core when the current value of a zero-phase current is not 0. Fig. 5C is a graph showing the change over time of the magnetic flux flowing through the magnetic core when the current value of the zero-phase current is not 0. Fig. 5D is a graph that shows the waveform of the voltage output by the detection coil when the current value of a zero-phase current is not 0. Fig. 6 is a functional block representation which represents the configuration of a Fig. The control device shown in Figure 1 is depicted. Fig. Figure 7A is a representation showing an example of the hardware configuration of the equipment diagnostic device according to the first embodiment. Fig. Figure 7B is a representation showing another example of the hardware configuration of the equipment diagnostic device according to the first embodiment. Fig. Figure 8 is a flowchart showing the operation of the equipment diagnostic device according to the first embodiment. Fig. Figure 9 is a block diagram showing the configuration of an equipment diagnostic device according to a modification of the first embodiment. Fig. Figure 10 is a block diagram showing the configuration of an equipment diagnostic device according to a second embodiment. Fig. Figure 11 is a block diagram showing another example of the configuration of the equipment diagnostic device according to the second embodiment. Fig. Figure 12 is a representation showing an example of operating sequences of the leakage current sensor of the equipment diagnostic device according to the second embodiment. Fig. Figure 13 is a block diagram showing the configuration of an equipment diagnostic system according to a third embodiment. Fig. Figure 14 is a block diagram showing another example of the configuration of the equipment diagnostic system according to the third embodiment. Fig. Figure 15 is a block diagram showing the configuration of an equipment diagnostic system according to a modification of the third embodiment. Fig. Figure 16 is a block diagram showing another example of the configuration of the equipment diagnostic system according to the modification of the third embodiment. Fig. Figure 17 is a block diagram showing another example of the configuration of an equipment diagnostic system according to a fourth embodiment. Fig. Figure 18 is a block diagram showing another example of the configuration of the equipment diagnostic system according to the fourth embodiment. Fig. Figure 19 is a block diagram showing the configuration of an equipment diagnostic system according to a modification of the fourth embodiment. Fig. Figure 20 is a block diagram showing another example of the configuration of the equipment diagnostic system according to the modification of the fourth embodiment. MODE FOR CARRYING OUT THE INVENTION

[0013] An equipment diagnostic device and an equipment diagnostic system according to each embodiment of the present disclosure are described below with reference to the drawings. The following embodiments are only examples, and it is possible to combine embodiments appropriately and to modify each embodiment appropriately. (First embodiment)<Konfiguration der Ausrüstungsdiagnoseeinrichtung 100>

[0014] Fig. Figure 1 is a representation of a configuration showing the configuration of an equipment diagnostic device 100 according to a first embodiment. As in Fig. As shown in Figure 1, the equipment diagnostic device 100 is a device that performs diagnostics on the load equipment 1, which is powered by electrical energy supplied by a power supply unit 2. The equipment diagnostic device 100 is an anomaly diagnostic device that diagnoses the presence or absence of anomalies in the load equipment 1.

[0015] The first embodiment describes an example in which the load equipment 1 is powered by three-phase alternating current. In this case, the three-phase alternating current is supplied to the load equipment 1 via a plurality of (for example, 3 or 4) electrical conductors 3a, 3b, 3c as electrical paths. In cases where the load equipment 1 is powered by single-phase alternating current, the number of electrical conductors connecting the power supply unit 2 and the load equipment 1 is 2 or 3. Additionally, a ground conductor, an earth conductor, and a neutral conductor of the power supply unit 2 may be connected to the load equipment 1.

[0016] The load equipment 1 is, for example, a motor, industrial equipment or an industrial machine including a motor, electrical operating equipment, IT (information technology) equipment, OA (office automation) equipment, household electrical equipment, lighting equipment, or the like. The first embodiment describes an example in which the load equipment 1 is a motor.

[0017] The equipment diagnostic device 100 comprises a leakage current sensor 10, a condition sensing sensor 20 as an equipment condition acquisition unit, a control device 30 as a control unit and a display unit 40 as a signaling unit. <Konfiguration des Leckstromsensors 10>

[0018] Fig. 2 is a perspective view that is an example of the configuration of the in Fig. Figure 1 shows the leakage current sensor 10. The leakage current sensor 10 outputs a detection signal in a waveform that corresponds to the currents flowing in the electrical conductors 3a - 3c (sum of the currents flowing in the electrical conductors 3a - 3c). That is, if the sum of the currents flowing in the electrical conductors 3a - 3c is not zero, this means that a leakage has occurred in an electrical path. The leakage current sensor 10 is a so-called active-type sensor. The leakage current sensor 10 is a current sensor that, for example, uses a fluxgate magnetic sensor.

[0019] The leakage current sensor 10 comprises a cylindrical magnetic core 11 as its core component, an excitation coil 12 as the first coil, and a detection coil 13 as the second coil. The excitation coil 12 and the detection coil 13 are wound around the magnetic core 11.

[0020] A sensor control signal is applied to the excitation coil 12, which is supplied by the Fig. The leakage current sensor control unit 31, shown in Figure 6 and explained later, outputs a sensor control signal. This sensor control signal is, for example, an alternating current signal. An alternating current (hereinafter also referred to as the "excitation current") flows into the excitation coil 12 as a control current, which periodically subjects the magnetic core 11 to magnetic saturation. The detection coil 13 outputs a signal as the detection signal, representing the induced electromotive force that occurs when the excitation current flows in the excitation coil 12. The leakage current sensor 10 can also be a sensor of a different type, provided that the leakage current sensor 10 is a sensor that operates based on the sensor control signal output by the leakage current sensor control unit 31 (see Figure 6). Fig. 6) The leakage current sensor 10 can, for example, also be a current sensor that uses a highly sensitive magnetic sensor or a magnetic sensor device, or a current sensor that uses an optical fiber.

[0021] Fig. 3 is a representation which is an example of an arrangement of the in Fig. The leakage current sensor 10 shown in Figure 2 is located on the electrical lines 3a - 3c. As shown in Figure 2. Fig. As shown in Figure 3, the leakage current sensor 10 is arranged such that the electrical conductors 3a–3c penetrate a hollow section 11a of the magnetic core 11. The leakage current sensor 10 detects a zero-phase current as the sum of the three-phase currents flowing in the electrical conductors 3a–3c. The zero-phase current corresponds to a leakage current Ia, which flows from the electrical conductors 3a–3c and the load equipment 1 to ground 9 via the insulation resistance and the potential-free capacitance. An example where the leakage current Ia flows from the load equipment 1 to ground 9 is shown in Figure 3. Fig. Figure 3. In the following description, the zero-phase current is described, where it is assigned a reference symbol I. d is assigned.

[0022] In the Fig. 2 and Fig. Figure 3 shows an example where the excitation coil 12 and the detection coil 13 are wound around a portion of the magnetic core 11, and the number of turns of the excitation coil 12 is greater than the number of turns of the detection coil 13, to facilitate understanding of the description. However, it is also permissible for the excitation coil 12 and the detection coil 13 to be wound uniformly around the entire circumference of the magnetic core 11 to prevent fluctuations in power due to winding irregularities and an external magnetic field. Furthermore, the number of turns of the excitation coil 12 and the detection coil 13 is not limited to the values ​​shown in the figures. Fig. 2 and Fig. The limitations shown in Figure 3 are not limited. For example, it is also permissible if the number of turns of the detection coil 13 is greater than the number of turns of the excitation coil 12, or if the number of turns of the excitation coil 12 is equal to the number of turns of the detection coil 13.

[0023] While the excitation coil 12 and the detection coil 13 are in the Fig. 2 and Fig. In the example shown, where the excitation coil 12 and the detection coil 13 are wound directly onto the magnetic core 11, it is also permissible for them to be wound onto the outer surface of a resin housing that encapsulates the core. This configuration prevents the properties of the core from being degraded by winding stress, which occurs when the excitation coil 12 and the detection coil 13 are wound around it. While the excitation coil 12 and the detection coil 13 are magnetically coupled to each other via the core 11, it is also possible to couple them as a single coil to the core 11. In addition, the leakage current sensor 10 can also be a terminal opening / closing type leakage current sensor, in which the magnetic core 11 is cylindrical in shape and equipped with an opening / closing function.

[0024] The leakage current sensor 10 is connected to the leakage current sensor control unit 31 and a first signal acquisition unit 32, shown in Fig. 6, connected, which will be explained later. Specifically, the excitation coil 12 of the leakage current sensor 10 is connected to the leakage current sensor control unit 31, while the detection coil 13 of the leakage current sensor 10 is connected to the first signal acquisition unit 32. <Funktionsprinzip des Leckstromsensors 10>

[0025] The operating principle of the leakage current sensor 10 is described below. First, the operating principle of the leakage current sensor 10 at a current value of the zero-phase current I is described. d from 0 based on the Fig. 4A to 4D. Fig. 4A is a BH curve, which shows a magnetic property of the material in the Fig. 2 and Fig. 3 shows the magnetic core 11. In Fig. 4A where the vertical axis represents the magnitude of the magnetic flux density B, and the horizontal axis represents the magnitude of an excitation magnetic field (hereinafter also referred to as the "alternating current magnetic field H") that occurs when an excitation current (alternating current) flows in the excitation coil 12. As in Fig. As shown in 4A, the magnetic flux density B in the magnetic core 11 is saturated when the magnitude of the alternating current magnetic field H reaches a saturation magnetic field H0, -H0.

[0026] Fig. Figure 4B is a graph showing a waveform W11 of the alternating current magnetic field H in the magnetic core 11 when the current value of the zero-phase current I d 0 is. If the in the Fig. 2 and Fig. When the excitation coil 12 shown in Figure 3 is excited with an excitation current in the form of a triangular wave, the waveform W11 of the alternating current magnetic field H assumes a positive-negative symmetric waveform. Furthermore, where N1 represents the number of turns of the excitation coil 12, I represents the excitation current, and r represents the average radius of the magnetic core 11, the alternating current magnetic field H is represented by the following expression (1): H=N1I2πr

[0027] Here, S is the cross-sectional area of ​​the magnetic core 11 and Φ is the magnetic flux flowing through the magnetic core 11, where the magnetic flux Φ is the product of the magnetic flux density B and the cross-sectional area S. Fig. 4C is a graph W12 which shows the time change of the magnetic flux Φ flowing through the magnetic core 11 when the current value of the zero-phase current I d 0 is. As in the Fig. 4A and Fig. As shown in Figure 4C, the time variation of the magnetic flux Φ is equal to 0 when the magnetic flux density B in the magnetic core 11 is saturated. As shown in Fig. As shown in 4C, the current value of the zero-phase current I d A period t1 in which the time change is 0 when the magnetic flux Φ is positive is equal to a period t1 in which the time change is 0 when the magnetic flux Φ is negative.

[0028] If the current value of the zero-phase current I d where V is equal to 0, it represents an output voltage which represents the induced electromotive force that occurs at the detection coil 13 (see Fig. 2 and Fig. 3), and N2 represents the number of turns of the detection coil 13, the output voltage V is represented by the following expression (2) according to Faraday's law of electromagnetic induction: V=N2dΦdt=N2d(BS)dt

[0029] Here, the cross-sectional area S of the magnetic core 11 is a constant. Furthermore, if µ represents the magnetic permeability of the magnetic core 11, expression (2) can be transformed into the following expression (3), since the magnetic flux density B is the product of the magnetic permeability µ and the alternating magnetic field H: V=N2μSdHdt=N2μ0μrSdHdt

[0030] In expression (3) µ0 represents the magnetic permeability of the vacuum and µ r represents the relative permeability of the magnetic core 11. In the first embodiment, the magnetic permeability µ0 of the vacuum is, for example, 4π×10 -7(H / m). As shown in the preceding expression (2), the output voltage V is proportional to the time variation of the magnetic flux Φ. The output voltage V, which corresponds to the time variation of the magnetic flux density B, is obtained because the magnetic flux Φ is the product of the magnetic flux density B and the cross-sectional area S of the magnetic core 11, and the cross-sectional area S is a constant.

[0031] Fig. 4D is a graph which shows a waveform W13 of the output voltage V when the current value of the zero-phase current I d 0 is. As in the Fig. 4A, Fig. 4C and Fig. As shown in Figure 4D, the time variation of the magnetic flux Φ is equal to 0, that is, when the magnetic flux density B is saturated, the output voltage V is also 0. Since the BH curve of the magnetic core 11 is a curve symmetrical with respect to the origin, as shown in Figure 4D, the magnetic flux density B is saturated, and the output voltage V is also 0. Fig. As shown in Figure 4A, a period in which the output voltage V 0 is zero repeats with a cycle corresponding to twice the frequency of the alternating current magnetic field H. As shown in Fig. As shown in 4D, an interval t2 in which the output voltage V 0 is when the change in magnetic flux Φ is positive is equal to an interval t2 in which the output voltage V 0 is when the change in magnetic flux Φ is negative.

[0032] Next, the operating principle of the leakage current sensor 10 is described when the current value of the zero-phase current I d is not 0, based on the Fig. 5A to 5D. The following description describes an excitation magnetic field resulting from the zero-phase current I. d on the magnetic core 11 (see Fig. 2 and Fig. 3) occurs when H d depicted. The excitation magnetic field H dis represented by the following expression (4) according to Ampère's law. In expression (4), r represents the average radius of the magnetic core 11. Hd=Id2πr

[0033] Fig. 5A is a graph which represents a bra curve of a [missing information] in the Fig. 2 and Fig. 3 shows the magnetic core 11. In Fig. 5A, where the vertical axis represents the magnitude of the magnetic flux density B, and the horizontal axis represents the magnitude of an excitation magnetic field H. s This represents the excitation magnetic field H. s is the sum of the alternating current magnetic field H that occurs when the excitation current flows in the excitation coil 12, and the already mentioned excitation magnetic field H d If the current value of the zero-phase current I d If the magnetic flux density B in the magnetic core 11 is not 0, it is saturated when the magnitude of the excitation magnetic field H sthe saturation magnetic field H0, -H0 is reached, similar to the case of Fig. 4A.

[0034] Fig. 5B is a graph which represents a waveform W21 of the excitation magnetic field H s shows that it is applied to the magnetic core 11 when the current value of the zero-phase current I d is not 0. In cases where the zero-phase current I d If it is a direct current, the excitation magnetic field H that arises due to the direct current d The alternating current magnetic field H is superimposed as a direct current bias field. Therefore, the waveform W21 of the excitation magnetic field H takes on a specific shape. s a waveform that is positive-negative-asymmetrical, as in Fig. 5B shown.

[0035] Fig. 5C is a graph W22 which shows the time variation of the magnetic flux Φ which flows through the magnetic core 11 when the current value of the zero-phase current I d is not 0. As in Fig. 5C is shown, when the current value of the zero-phase current I d A period t3, in which the time variation is 0 when the magnetic flux Φ is positive, is not equal to a period t4, in which the time variation is 0 when the magnetic flux Φ is negative. This is because the waveform W21 of the excitation magnetic field H s , shown in Fig. 5B, assumes a positive-negative asymmetric waveform.

[0036] Fig. 5D is a graph which shows a waveform W23 of the output voltage V which occurs at the detection coil 13 when the current value of the zero-phase current I d is not 0. As in Fig. 5D shown when the current value of the zero-phase current I d If the output voltage is not 0, then the interval in which it is 0 is not constant. In particular, a voltage in the range is not constant. Fig. 5D shown interval t5, in which the output voltage V 0 is when the change in magnetic flux Φ is positive, longer than an interval t6, in which the output voltage V 0 is when the change in magnetic flux Φ is negative.

[0037] The Fig. The change in output voltage V shown in 5D is achieved in one cycle, which is twice the frequency f of the excitation magnetic field H. s This corresponds to the zero-phase current I. Therefore, the zero-phase current I d (i.e., the leakage current) can be calculated as the measured current by using only one component (i.e., the second harmonic component) V 2f , which have twice the frequency f of the excitation magnetic field H s corresponds to the waveform W23 of the in Fig. The output voltage V shown in 5D is extracted. For the extraction of the second harmonic component V 2fFurthermore, a lock-in amplifier can be used, which controls the excitation magnetic field H. s is synchronized. Furthermore, a bandpass filter with an analog circuit or a digital filter with a digital circuit can be used to extract the second harmonic component V. 2f can be used. It is also possible to extract a specific frequency component, which can be expressed as the second harmonic component V by a Fourier operation using a microcomputer. 2f was calculated.

[0038] Next, the relationship between the zero-phase current I will be discussed. d and the output voltage V, which occurs at the detection coil 13, is explained below. The following expression (5) is obtained by carrying out the Fourier series expansion of the in Fig. 5D depicted waveform W23 of the output voltage V. In expression (5) n is an integer greater than or equal to 1. Vc=a02+∑n=1∞(an cos nx+bn sin nx)

[0039] In expression (5), if n is an even number, the Fourier coefficient a0 = 0 and the Fourier coefficient a n = 0. Furthermore, the nth harmonic component V nf the output voltage V c represented by the following expression (6): Vnf=8μ0μrSN2fH0sin(nπ2H0Hm)nπ2H0Hmsin(nπ2(1+HdHm))

[0040] In expression (6) f represents the frequency of the excitation magnetic field H s , H0 stands for the saturation magnetic field of the magnetic core 11 and H m represents the maximum value of the excitation magnetic field H s Substituting n = 2 into expression (6) yields the following expression (7): V2f=8μ0μrSN2fHdsin(πH0Hm)sin c(πHdHm)

[0041] Substituting the aforementioned expression (4) into expression (7) yields the following expression (8): V2f=8μ0μrSN2fId2πrsin(πH0Hm)sin c(πHdHm)

[0042] As can be seen from expression (8), the second harmonic component is V 2f the output voltage V c proportional to the zero-phase current I d As shown in expressions (7) and (8), the second harmonic component is V 2f depending on the frequency f of the excitation magnetic field H s , the number N2 of turns of the detection coil 13, the maximum value H m of the excitation magnetic field H s , the saturation magnetic field H0 of the magnetic core 11, the relative permeability µ r of the magnetic core 11, the cross-sectional area S of the magnetic core 11 and so on.

[0043] While the calculation of expression (8) was explained using an example where the waveform of the excitation magnetic field H s The parameters of a triangular wave are those of which the second harmonic component V 2fThe coefficients are the same even if they are different, depending on the waveform of the excitation magnetic field H. s a sine wave. While the calculation of expression (8) was explained using an example where the zero-phase current I d If it is a direct current, the calculation is also possible if the zero-phase current I d An alternating current is created by adjusting a sampling condition. The sampling condition is, for example, that the frequency of the excitation magnetic field H s greater than or equal to twice the frequency of the zero-phase current I d is. <Konfiguration des Zustandserfassungssensors 20>

[0044] Next, the configuration of the aforementioned condition monitoring sensor 20, shown in Fig. 1, explained. The condition monitoring sensor 20 determines a physical quantity that indicates the condition of the load equipment 1. For example, the condition monitoring sensor 20 is a vibration sensor that measures vibration of the load equipment 1. Furthermore, the condition monitoring sensor 20 can also be a temperature sensor or an infrared sensor that measures the temperature of the load equipment 1. The temperature sensor or the infrared sensor detects an overheating condition of the load equipment 1. Finally, the condition monitoring sensor 20 can also be a motion sensor that detects movement of the load equipment 1.

[0045] Furthermore, the condition monitoring sensor 20 can also be an electromagnetic wave sensor that detects the presence or absence of electrical discharge in the load equipment 1. The electromagnetic wave sensor contains, for example, a coil or a magnetic sensor and thus detects the electromagnetic wave noise caused by electrical discharge. The condition monitoring sensor 20 can also be an anomaly noise sensor (for example, a microphone) that detects anomaly noise (also referred to as "anomaly noise") when the load equipment 1 is in operation. The condition monitoring sensor 20 can also be a water leak current sensor that detects the presence or absence of water leakage in the load equipment 1, or an oil leak current sensor that detects the presence or absence of oil leakage in the load equipment 1.The condition monitoring sensor 20 can also be a smoke emission sensor, which detects the presence or absence of smoke emission in the load equipment 1. Furthermore, the condition monitoring sensor 20 can be arranged in any manner, provided that the condition of the load equipment 1 can be detected directly or indirectly.

[0046] Furthermore, the condition monitoring sensor 20 can also function as an equipment condition acquisition unit and act as a noise meter, detecting the presence or absence of electromagnetic interference or noise emissions related to electromagnetic compatibility (EMC) at the outputs of the load equipment 1 and the power supply unit. The noise meter incorporates a coil or antenna (e.g., a dipole antenna, a Yagi antenna (registered trademark), or the like) tuned to the frequency of the interference, thereby detecting the electromagnetic interference associated with EMC propagation in space, which increases due to the degradation of various filters installed in the output sections of the load equipment 1 and the power supply unit.Since electromagnetic interference (EMI) also propagates via the power supply, a signal and a ground line (wiring), the noise meter can also be a noise meter with the function of a voltage reader that supports the reading of high-frequency waves. <Konfiguration der Steuerungseinrichtung 30>

[0047] Next, the configuration of control unit 30 will be described. Fig. Figure 6 is a block diagram showing the configuration of the control device 30 according to the first embodiment. As in Fig. As shown in Figure 6, the control unit 30 comprises the leakage current sensor control unit 31, the first signal acquisition unit 32 and a first signal processing unit 33.

[0048] The leakage current sensor control unit 31 controls the current value of the excitation current for the excitation of the excitation coil 12 (see Fig. 2 and Fig. 3), the frequency f of the excitation current and the waveform of the excitation current. Furthermore, the leakage current sensor control unit 31 can also be configured to control at least one of the current value of the excitation current, the frequency f of the excitation current, or the waveform of the excitation current.

[0049] The first-signal acquisition unit 32 is a signal input unit into which a signal is input that specifies the output voltage output by the detection coil 13 (hereinafter also referred to as the "detection signal"). The first-signal acquisition unit 32 can acquire the detection signal output by the leakage current sensor 10 in a desired signal format. For example, if the detection signal is an analog signal, the first-signal acquisition unit 32 can convert the analog signal into a digital signal.

[0050] The first-signal processing unit 33 extracts the second harmonic component of a detection voltage signal stored in the first-signal acquisition unit 32, based on the detection voltage signal and a control condition of the leakage current sensor 10. The first-signal processing unit 33 must be controlled according to the frequency f of the excitation current output by the leakage current sensor control unit 31. Through the synchronization of the leakage current sensor control unit 31 and the first-signal processing unit 33 described above, it is possible to adjust the sensor power output according to the leakage current sensor 10 (see Fig. 1) to adjust the detected zero-phase current (i.e., the current detection sensitivity) and a frequency range of the detectable zero-phase current. That is, a dynamic measuring range of the leakage current sensor 10 can be adjusted. Furthermore, the first-signal processing unit 33 can either directly process the temporal change of the in Fig. 5D represented output voltage V c measure or measure the time until the magnetic core 11 reaches magnetic saturation.

[0051] The control unit 30 comprises a second signal acquisition unit 34 and a second signal processing unit 35.

[0052] The secondary signal acquisition unit 34 is a signal input unit into which a condition signal is input, indicating the condition of the load equipment 1 output by the condition detection coil 20 (hereinafter also referred to as the "equipment condition signal"). The secondary signal acquisition unit 34 can acquire the acquisition signal output by the condition detection sensor 20 in a desired signal format. For example, the secondary signal acquisition unit 34 can convert an analog signal output by the condition detection sensor 20 into a digital signal.

[0053] The Second Signal Processing Unit 35 extracts a feature value from the equipment status signal stored in the Second Signal Acquisition Unit 34. For example, the Second Signal Processing Unit 35 calculates an amplitude value or an RMS value of the output signal's waveform. Furthermore, the Second Signal Processing Unit 35 can calculate a value exceeding a predetermined threshold as the feature value. Additionally, the Second Signal Processing Unit 35 can calculate the feature value by analyzing a frequency spectrum or principal frequency components.

[0054] The leakage current flowing in electrical conductors 3a-3c can increase or decrease depending on the condition of the load equipment 1. Furthermore, there are cases where a change in the leakage current corresponding to a change in the condition of the load equipment 1 cannot be detected by using the nominal leakage current sensitivity for insulation monitoring to protect human health, prevent fires, and so on.

[0055] Specifically, the nominal sensitivity current varies depending on the purpose of insulation monitoring using the leakage current sensor 10, or depending on the application of the leakage current sensor 10. For example, if the purpose of insulation monitoring is to protect the human body, 5 mA or 30 mA is used as the nominal sensitivity current. Furthermore, the current range in which the leakage current sensor 10 performs intermittent operation varies depending on the rated power of the leakage current sensor 10. For example, the specifications were set such that the leakage current sensor 10 operates in a current range of 4 mA to 6 mA when the nominal sensitivity current is 5 mA, and in a current range of 15 mA to 30 mA when the nominal sensitivity current is 30 mA, thus making the sensitivity of the leakage current sensor 10 a fixed value.Although there are cases where the sensitivity can be adjusted by adjusting the gain of a booster amplifier provided after the leakage current sensor using a sensitivity adjustment trimmer or a sensitivity adjustment wheel provided on the leakage current sensor, it is difficult to frequently adjust the sensitivity in normal operating conditions.

[0056] In the first embodiment, the control device 30 further includes an operating mode determination unit 36 ​​and an anomaly assessment unit 37 as a diagnostic unit.

[0057] The operating mode determination unit 36 ​​determines an operating mode of the leakage current sensor 10—either a leakage detection mode, a normal operating mode, or an anomaly diagnosis mode—based on the equipment status signal output by the status detection sensor 20. The operating mode determination unit 36 ​​sets the operating mode of the leakage current sensor 10 based on the characteristic value of the equipment status signal provided by the secondary signal acquisition unit 34 and the secondary signal processing unit 35. The operating mode determination unit 36 ​​outputs an operating mode setting signal, indicating the determined operating mode, to the leakage current sensor control unit 31. The leakage current sensor control unit 31 controls at least one of the excitation current values ​​to excite the excitation coil 12 (see Fig. 2 and Fig. 3), the frequency f of the excitation current or the waveform of the excitation current based on the operating mode setting signal. Through this control, the leakage current sensor control unit 31 causes the leakage current sensor 10 to operate in the operating mode determined by the operating mode determination unit 36.

[0058] In the following description, the operating mode for leak detection during normal operation is also referred to as "normal monitoring mode," and the operating mode for anomaly diagnosis is also referred to as "anomaly diagnosis mode." The "normal monitoring mode" is a mode for monitoring the operating status of the load equipment 1 during normal operation. The "anomaly diagnosis mode" is a mode for measuring the leakage current by adjusting the dynamic measuring range of the leakage current sensor 4 to perform anomaly diagnosis on the load equipment 1. The dynamic measuring range here refers to the current sensing sensitivity and the frequency range of the leakage current sensor 10. The dynamic measuring range in the "anomaly diagnosis mode" is larger than the dynamic measuring range in the "normal monitoring mode."

[0059] The following is an example where the operating mode determination unit 36 ​​sets the dynamic range of the leakage current sensor 10 depending on the operating mode. The dynamic measuring range in the "Normal Monitoring Mode" operating mode is a first dynamic range for normal monitoring. This first dynamic range is characterized by low detection sensitivity and a narrow frequency range. For example, in this first dynamic range, the nominal current can be set to 300 mA and the frequency to 50 Hz / 60 Hz.

[0060] The dynamic measurement range in the "Anomaly Monitoring Mode" is a second dynamic range for leak detection. This second dynamic range features high detection sensitivity and a wide frequency range. For example, in this second dynamic range, the nominal current can be set to 10 mA and the frequency to 10 kHz DC.

[0061] When the operating mode determination unit 36 ​​has set the operating mode of the leakage current sensor 10 to the “normal monitoring mode”, the leakage current sensor control unit 31 sets the dynamic measuring range of the leakage current sensor 10 to the “first dynamic range” mentioned above by controlling the sensor control signal output to the excitation coil 12 (see Fig. 2) In this case, the first signal processing unit 33 detects the current value of the zero-phase current based on the output signal of the detection coil 13 supplied by the first signal acquisition unit 32. The anomaly assessment unit 37 determines the presence or absence of an anomaly in the load equipment 1 based on the current value of the anomaly current.

[0062] When the operating mode determination unit 36 ​​has switched the operating mode of the leakage current sensor 10 to the “anomaly diagnostic mode”, the leakage current sensor control unit 31 sets the dynamic measuring range of the leakage current sensor 10 to the “second dynamic range” mentioned above by controlling the sensor control signal output to the excitation coil 12 (see Fig. 2) In this case, the first-signal processing unit 33 can synchronize the output signal of the detection coil 13 supplied by the first-signal acquisition unit 32 and the sensor drive signal, and extract only specific frequency components. The operating mode determination unit 36 ​​adjusts the dynamic measuring range of the leakage current sensor 10, for example, by adjusting the current sensing sensitivity of the leakage current sensor 10. Furthermore, the operating mode determination unit 36 ​​can adjust the dynamic measuring range of the leakage current sensor 10 by adjusting the frequency range of the leakage current sensor 10. Additionally, the operating mode determination unit 36 ​​can adjust the dynamic measuring range of the leakage current sensor 10 by adjusting both the current sensing sensitivity and the frequency range of the leakage current sensor 10.

[0063] The operating mode determination unit 36 ​​outputs a signal indicating an assessment result, in particular a signal indicating an assessment result about the presence or absence of the switching of the operating mode, to the anomaly assessment unit 37.

[0064] The anomaly assessment unit 37 determines the presence or absence of an anomaly in the load equipment 1 based on a signal output by the first signal processing unit 33, a signal output by the second signal processing unit 35, and the signal indicating the assessment result, output by the operating mode determination unit 36. As explained above, the anomaly assessment unit 37 diagnoses the presence or absence of an anomaly in the load equipment 1 based on information output by a variety of sensors of different types. This allows the reliability of the diagnosis by the equipment diagnostic device 100 to be increased.As described above, in the equipment diagnostic device 100, the leakage current sensor 10 and the condition detection sensor 20 work together to assess the presence or absence of anomaly in the load equipment 1. <Konfiguration der Anzeigeeinheit 40>

[0065] Returning to Fig. 1. Next, the configuration of the display unit 40 is explained. The display unit 40 reports the result of the diagnosis by the anomaly assessment unit 37 (i.e., the result of the assessment of the presence or absence of an anomaly). The display unit 40 is, for example, a display or the like that shows information about the assessment result. Alternatively, the equipment diagnostic device 100 can also contain safety equipment such as a circuit breaker, a relay, or a warning buzzer as the reporting unit instead of the display unit 40. As described above, the equipment diagnostic device 100 can report the assessment result of the anomaly assessment unit 37 to a user by means corresponding to an operating procedure of the load equipment 1 after the anomaly diagnosis.

[0066] In the Fig. 1 and Fig. 6. The connection mode of the components of the equipment diagnostic device 100 can be either wired or wireless. Furthermore, the equipment diagnostic device 100 can contain not only a single condition monitoring sensor 20, but also a variety of condition monitoring sensors 20. The equipment diagnostic device 100 can contain a variety of condition monitoring sensors 20 of different types. In addition, a connection can be established between the load equipment 1 and the [equipment / device] in [the text is incomplete]. Fig. The power supply unit 2 shown in Figure 1 may be provided with inverter control equipment. With such a configuration, the equipment diagnostic device 100 can be connected to an electrical circuit that can vary the frequency of the three-phase alternating current. Furthermore, if the power supply unit 2 is a direct current supply such as a solar cell or a fuel cell, the equipment diagnostic device 100 can be connected to an electrical circuit in which direct current flows. <hardware-konfiguration>

[0067] Next, the hardware configuration of the equipment diagnostic device 100 will be explained. Fig. Figure 7A is a diagram that schematically depicts the hardware configuration of the equipment diagnostic device 100. As shown in Fig. As shown in Figure 7A, the control unit 30 of the equipment diagnostic unit 100 can be implemented using a working memory 30a as a storage device that stores a program as software, and a processor 30b as an information processing unit that executes the program stored in the working memory 30a (for example, by a computer). The leakage current sensor 10, the condition sensing sensor 20, and the display unit 40 are connected to the processor 30b via a bus 30d. Furthermore, some of the components of the control unit 30 can be implemented by the [unclear - possibly "computer" or "computer"]. Fig. The working memory 30a shown in Figure 7A and the processor 30b executing a program can be implemented. Furthermore, the control device 30 can also be implemented by an electrical circuit.

[0068] Fig. Figure 7B is a diagram that schematically illustrates another example of the hardware configuration of the equipment diagnostic device 100. As shown in Fig. As shown in Figure 7B, the control device 30 can also be implemented as dedicated hardware using the processing circuit 30c, for example as a single circuit or a combined circuit. In this case, the functions of the control device 30 are implemented by the processing circuit 30c. <funktionsweise>

[0069] The operation of the equipment diagnostic device 100 according to the first embodiment is described below. Fig. Figure 8 is a flowchart illustrating the operation of the equipment diagnostic device 100 according to the first embodiment. The following describes an example in which the operating mode of the leakage current sensor 10 is switched from the "normal monitoring mode" to the "anomaly diagnostic mode".

[0070] In step ST1, the leakage current sensor control unit 31 first sets the operating mode of the leakage current sensor 10 to the "normal monitoring mode".

[0071] In step ST2, the operating mode determination unit 36 ​​sets the dynamic measuring range of the leakage current sensor 10 to the aforementioned first dynamic range.

[0072] In step ST3, the condition detection sensor 20 receives the equipment condition signal as the signal indicating the condition of the load equipment 1.

[0073] In step ST4, the second signal processing unit 35 performs signal processing (for example, conversion into a digital signal or the like) of the equipment status signal supplied by the status sensing sensor 20.

[0074] In step ST5, the operating mode determination unit 36 ​​determines whether the equipment status signal supplied by the secondary signal processing unit 35 meets a predetermined switching condition. If the operating mode determination unit 36 ​​determines that the switching condition is met (i.e., if the assessment in step ST5 is yes), the process proceeds to step ST6.

[0075] In a case where the condition sensing sensor 20 is a vibration sensor, the operating mode determination unit 36 ​​can acquire a signal corresponding to the vibration occurring in the load equipment 1, i.e., a signal corresponding to the velocity amplitude (unit: m / s) of the load equipment 1. The operating mode determination unit 36 ​​switches the operating mode of the leakage current sensor 10 based on the signal output by the vibration sensor. For example, if the magnitude of the signal amplitude is greater than or equal to a predetermined threshold Th, the operating mode determination unit 36 ​​determines that the switching condition is met and switches the operating mode of the leakage current sensor 10 to the "anomaly diagnosis mode". Alternatively, the vibration sensor can detect a displacement (unit: m) or an acceleration (unit: m / s²). 2 The operating mode determination unit 36 ​​can detect the displacement (or acceleration) of the load equipment 1 and switch the operating mode of the leakage current sensor 10 by comparing the displacement (or acceleration) of the load equipment 1 with a threshold value Th. Furthermore, when evaluating the detection signal output by the leakage current sensor 10 as an electrical signal, the operating mode determination unit 36 ​​can compare a voltage value as 1 / 2 or 1 / 3 of the nominal voltage of the leakage current sensor 10 with a threshold value Th.

[0076] In a case where the condition monitoring sensor 20 is an anomaly noise sensor, a signal corresponding to an anomaly noise occurring in the load equipment 1 can be transmitted to the operating mode determination unit 36. The operating mode determination unit 36 ​​obtains a frequency spectrum by performing a frequency analysis on the signal output, for example, by the anomaly noise sensor. If, for example, an amplitude value of the frequency spectrum at a specific frequency is greater than or equal to a threshold value Th, the operating mode determination unit 36 ​​determines that the switching condition is met and switches the operating mode of the leakage current sensor 10 to the "anomaly diagnostic mode". Furthermore, it is also possible for the operating mode determination unit 36 ​​to switch the operating mode of the leakage current sensor 10 based on a specific frequency band or a plurality of frequencies.

[0077] If, on the other hand, the amplitude of the signal corresponding to the vibration or noise occurring in the load equipment 1 is less than the predetermined threshold Th (i.e., if the assessment in step ST6 is No), the operating mode determination unit 36 ​​determines that the switching condition is not met, and the process continues with step ST8. In this case, the operating mode determination unit 36 ​​maintains the operating mode of the leakage current sensor 10 in normal monitoring mode.

[0078] In step ST6, the leakage current sensor control unit 31 switches the operating mode of the leakage current sensor 10 from the “normal monitoring mode” to the “anomaly diagnostic mode”.

[0079] In step ST7, the operating mode determination unit 36 ​​sets the dynamic measuring range of the leakage current sensor 10 to the aforementioned second dynamic range.

[0080] In step ST8, the leakage current sensor 10 detects the current value of the electrical current escaping from the electrical lines 3a - 3c.

[0081] In step ST9, the first signal processing unit 33 performs signal processing (e.g. conversion into a digital signal or the like) on the detection signal in a waveform that corresponds to the electrical current emanating from the electrical lines 3a - 3c and provided by the leakage current sensor 10.

[0082] In step ST10, the anomaly assessment unit 37 determines the presence or absence of an anomaly in the load equipment 1 based on the detection signal of the leakage current sensor 10 supplied by the first signal processing unit 33 and the equipment status signal supplied by the second signal processing unit 35.

[0083] The anomaly assessment unit 37 makes an assessment of the presence or absence of an anomaly in the load equipment 1 (hereinafter also referred to as "anomaly assessment") based on time-series data output by the leakage current sensor 10 and the condition monitoring sensor 20, respectively. In the first embodiment, the anomaly assessment unit 37 determines the presence or absence of an anomaly in the load equipment 1 by comparing the amplitude value of a signal waveform, as the time-series data output by each sensor, with a threshold value. In particular, the anomaly assessment unit 37 determines that an anomaly has occurred in the load equipment 1 if both the amplitude value of the signal output by the leakage current sensor 10 and the amplitude value of the signal output by the condition monitoring sensor 20 are above the threshold value.

[0084] The anomaly assessment unit 37 can also determine the presence or absence of an anomaly in the load equipment 1 by comparing the signal-to-noise ratios of the signals output by the leakage current sensor 10 and the condition monitoring sensor 20. For example, if it is easier to perform the anomaly assessment based on the detection signal output by the leakage current sensor 10 than on the equipment condition signal output by the condition monitoring sensor 20, the anomaly assessment unit 37 can perform the anomaly assessment by assigning a priority order to the detection results of the leakage current sensor 10 and the condition monitoring sensor 20, such as by assigning weights to the detection results.If the anomaly assessment unit 37 otherwise performs the anomaly assessment based on the aforementioned time series data, the anomaly assessment unit 37 can either perform a frequency analysis process on the time series data or perform a process of analysis to determine whether the time series data contains a signal indicating a feature value or not.

[0085] The anomaly assessment unit 37 then generates time-series leakage current data based on the leakage current sensor 10's acquisition signal, provided by the first-signal acquisition unit 32, and the sensor drive signal, provided by the leakage current sensor drive unit 31 (for example, the excitation current value). The anomaly assessment unit 37 determines the presence or absence of an anomaly in the load equipment 1 based on two types of time-series data: the leakage current time-series data and the condition sensing signal time-series data, provided by the second-signal processing unit 35. Here, "time series" refers to a series in which values ​​obtained through periodic measurements over time are organized or arranged.

[0086] In step ST11, the display unit 40 shows the assessment result of the anomaly assessment unit 37. <Wirkung der ersten Ausführungsform>

[0087] According to the first embodiment described above, the equipment diagnostic device 100 comprises the leakage current sensor 10 and the condition sensing sensor 20, which acquires the condition of the load equipment 1. Furthermore, if the condition of the load equipment 1 meets the switching condition when the leakage current sensor 10 is operating in normal monitoring mode, the operating mode determination unit 36 ​​of the equipment diagnostic device 100 switches the operating mode of the leakage current sensor 10 to the operating mode for anomaly diagnosis. Accordingly, diagnostics on the load equipment 1 can be easily performed, since it is not necessary to frequently change the sensing sensitivity of the leakage current sensor 10 during normal operation of the load equipment 1.In other words, monitoring the presence or absence of leakage in the load equipment 1 under normal conditions and diagnosing anomalies in the load equipment 1 can be performed by adjusting the dynamic measuring range of a single leakage current sensor 10. Accordingly, the equipment diagnostic device 100 does not need to contain a large number of leakage current sensors 10 with varying detection sensitivities, thus enabling the provision of a cost-effective equipment diagnostic device 100.

[0088] According to the first embodiment, the equipment diagnostic device 100 further performs a diagnosis for the load equipment 1 based on the detection signal output by the leakage current sensor 10 and the equipment status signal output by the condition detection sensor 20. Accordingly, it is possible to diagnose the presence or absence of an anomaly in the load equipment 1 based on signals output by a variety of sensor types. Thus, a highly reliable equipment diagnostic device 100 can be provided. This enables low cost, simple diagnosis of the load equipment 1, and high diagnostic reliability. (Modification of the first embodiment)

[0089] Fig. Figure 9 is a block diagram showing the configuration of an equipment diagnostic device 100A according to a modification of the first embodiment. The equipment diagnostic device 100A according to the modification of the first embodiment differs from the equipment diagnostic device 100 according to the first embodiment in that it includes a near-surrounding information acquisition unit 20A as the equipment condition acquisition unit instead of the condition sensing sensor 20. Apart from this feature, the equipment diagnostic device 100A according to the modification of the first embodiment is the same as the equipment diagnostic device 100 according to the embodiment. Therefore, the following description refers to Fig. 1 referred to.

[0090] As in Fig. 9 shown, the equipment diagnostic device 100A, the leakage current sensor 10, the near environment information acquisition unit 20A as the equipment status acquisition unit, the control device 30 and the display unit 40.

[0091] The near-surrounding information acquisition unit 20A acquires near-surrounding information that indicates the condition of the near-surrounding area of ​​the load equipment 1 (see Fig. 1) The local environment information includes, for example, at least one of the following: weather at the installation site where the load equipment 1 is installed, precipitation at the installation site, illuminance at the installation site, wind speed at the installation site, temperature at the installation site, or humidity at the installation site. The "installation site" also includes the immediate surroundings of the location where the load equipment 1 is installed.

[0092] The Near-Area Information Acquisition Unit 20A is, for example, a precipitation sensor that measures the amount of precipitation at the installation location of the load equipment 1. The Near-Area Information Acquisition Unit 20A can also be an illuminance sensor that measures the illuminance at the installation location of the load equipment 1, or a wind speed sensor that measures the wind speed at the installation location. Furthermore, the Near-Area Information Acquisition Unit 20A can also be a temperature sensor that measures the temperature at the installation location, a humidity sensor that measures the humidity at the installation location, or the like. In addition, the Near-Area Information Acquisition Unit 20A can acquire weather information about the weather at the installation location of the load equipment 1, for example, by accessing a server of a service that provides meteorological information.The near-surround information acquisition unit 20A transmits a near-surround signal as a status signal, indicating the near-surround of the load equipment 1, to the secondary signal acquisition unit 34. Furthermore, the near-surround information acquisition unit 20A can be arranged in any manner, provided that the near-surround of the load equipment 1 can be acquired directly or indirectly.

[0093] Although the immediate environment of the load equipment 1 does not change in connection with the operating state of the load equipment 1, the immediate environment can, as an external factor, influence the operation of the load equipment 1. In the modification of the first embodiment, the operating mode determination unit 36 ​​of the control device 30 switches the operating mode of the leakage current sensor 10 to the operating mode for anomaly diagnosis when the immediate environment of the load equipment 1 meets a predetermined switching condition, provided the leakage current sensor 10 is operating in normal monitoring mode. In other words, when the immediate environment of the load equipment 1 meets the switching condition, the operating mode determination unit 36 ​​switches the dynamic measuring range of the leakage current sensor 10 to the aforementioned second dynamic range with high detection sensitivity.Furthermore, if the immediate vicinity of the load equipment 1 meets the operating mode switching condition, the operating mode determination unit 36 ​​can also switch the dynamic measuring range of the leakage current sensor 10 to a dynamic range with a wide frequency range. Additionally, if the immediate vicinity of the load equipment 1 meets the operating mode switching condition, the operating mode determination unit 36 ​​can also switch the dynamic measuring range of the leakage current sensor 10 to a dynamic range with high detection sensitivity and a wide frequency range.

[0094] The anomaly assessment unit 37 performs the anomaly assessment with respect to the load equipment 1 based on time-series data output by the leakage current sensor 10 and the near-surrounding information acquisition unit 20A. In particular, the anomaly assessment unit 37 determines that an anomaly has occurred in the load equipment 1 if the amplitude value of the signal waveform output by the leakage current sensor 10 exceeds the threshold value and the near-surrounding information output by the near-surrounding information acquisition unit 20A meets a predetermined condition. <Wirkung der Modifikation der ersten Ausführungsform>

[0095] According to the modification of the first embodiment described above, the equipment diagnostic device 100A comprises the leakage current sensor 10, the near-surround information acquisition unit 20A, which acquires the near-surround of the load equipment 1, and the operating mode determination unit 36. When the near-surround of the load equipment 1 meets the switching condition, the operating mode determination unit 36 ​​switches the operating mode of the leakage current sensor 10 to the operating mode for anomaly diagnostics. Accordingly, diagnostics on the load equipment 1 can be easily performed, since it is not necessary to frequently change the detection sensitivity of the leakage current sensor 10 during normal operation of the load equipment 1.In other words, monitoring the presence or absence of leakage in the load equipment 1 under normal conditions and diagnosing anomalies in the load equipment 1 can be performed by adjusting the dynamic measuring range of a single leakage current sensor 10. Accordingly, the equipment diagnostic device 100A does not need to contain a large number of leakage current sensors 10 with varying detection sensitivities, thus enabling the provision of a cost-effective equipment diagnostic device 100A.

[0096] Furthermore, according to the modification of the first embodiment, the equipment diagnostic device 100A performs a diagnosis for the load equipment 1 based on the detection signal output by the leakage current sensor 10 and the near-surrounding signal output by the near-surrounding information acquisition unit 20A. Accordingly, it is possible to diagnose the presence or absence of an anomaly in the load equipment 1 based on signals output by a variety of sensor types. Thus, a highly reliable equipment diagnostic device 100A can be provided. This results in a low-cost, simple diagnostic device for the load equipment 1 and high diagnostic reliability. (Second embodiment)

[0097] Fig. Figure 10 is a block diagram showing the configuration of an equipment diagnostic device 200 according to a second embodiment. Fig. 10 was assigned to each component that was connected to a Fig. 1 or Fig. Component 6 shown is identical to or corresponds to the same reference symbol as in Fig. 1 or Fig. 6. The equipment diagnostic device 200 according to the second embodiment differs from the equipment diagnostic device 100 according to the first embodiment in that the operating mode determination unit is an operating sequence determination unit 236, which determines an operating sequence that specifies the order of the operating modes. Apart from this feature, the equipment diagnostic device 200 according to the second embodiment is the same as the equipment diagnostic device 100 according to the first embodiment. Therefore, the following description refers to Fig. 1 referred to.

[0098] As in Fig. As shown in Figure 10, the equipment diagnostic device 200 comprises the leakage current sensor 10, the condition detection sensor 20, a control device 230 and the display unit 40.

[0099] The control unit 230 comprises the leakage current sensor control unit 31, the first signal acquisition unit 32, the first signal processing unit 33, the second signal acquisition unit 34, the second signal processing unit 35, the operating sequence determination unit 236 and the anomaly assessment unit 37.

[0100] The operating sequence determination unit 236 determines the operating sequence of the leakage current sensor 10 based on the equipment status signal, which indicates the state of the load equipment 1 (see Fig. 1) is displayed and is provided by the status sensor 20 via the secondary signal processing unit 35.

[0101] Fig. Figure 11 is a block diagram showing another example of the configuration of an equipment diagnostic device 200A according to the second embodiment. As in Fig. As shown in Figure 11, the equipment diagnostic unit 200A can be used with the aforementioned near-surrounding information acquisition unit 20A, shown in Figure 11. Fig. 9, instead of the condition sensing sensor 20. In this case, the operating sequence determination unit 236 can determine the operating sequence of the leakage current sensor 10 based on the near-surrounding information provided by the near-surrounding information acquisition unit 20A.

[0102] Fig. Figure 12 is a representation showing a further example of the operating sequences A - D of the leakage current sensor 10 of the equipment diagnostic device 200 according to the second embodiment. The in Fig. Figure 12, “Operating Sequence A,” is a sequence in which the normal monitoring mode and the anomaly diagnostic mode are alternately executed as two operating modes. Specifically, in Operating Sequence A, when the state of load equipment 1 (or its immediate surroundings) meets the operating mode switching condition, the switchover from normal monitoring mode to anomaly monitoring mode is performed. Then, when the state of load equipment 1 (or its immediate surroundings) no longer meets the operating mode switching condition, the switchover from anomaly monitoring mode to normal monitoring mode is performed.

[0103] "Operating sequence B" is a sequence in which a "normal monitoring mode + anomaly diagnostic mode" is repeatedly executed. "Normal monitoring mode + anomaly diagnostic mode" is a mode in which the normal monitoring mode and the anomaly diagnostic mode are executed simultaneously.

[0104] The "Operating Sequence C" is a sequence of operating the leakage current sensor 10 in the order of "normal monitoring mode," a "first anomaly diagnosis mode," and a "second anomaly diagnosis mode" as three operating modes. The "first anomaly diagnosis mode" is an anomaly diagnosis mode in which the leakage current sensor 10 operates in a first dynamic measuring range. The "second anomaly diagnosis mode" is an anomaly diagnosis mode in which the leakage current sensor 10 operates in a second dynamic measuring range.

[0105] When the state of the load equipment 1 meets a switching condition, the operating sequence determination unit 236 sequentially switches from normal monitoring mode to first anomaly diagnostic mode, from first anomaly diagnostic mode to second anomaly diagnostic mode, and from second anomaly diagnostic mode to normal monitoring mode. As described above, in operating sequence C, the leakage current sensor 10 operates in two anomaly diagnostic modes that differ in their dynamic measuring range, thus detecting the presence or absence of leakage in the electrical lines 3a–3c (see Fig. 2) This simplifies the analysis of the correlation between the equipment status signal (or the near-surround information) and the detection signal output by the leakage current sensor 10. Furthermore, the information content of the detection signal output by the leakage current sensor 10 is increased for assessing the presence or absence of anomalies in the load equipment 1, thus increasing the reliability of the equipment diagnostic device 200, 200A.

[0106] The "Operating Sequence D" is a sequence in which a "normal monitoring mode + first anomaly diagnosis mode" and a "normal monitoring mode + second anomaly diagnosis mode" are executed alternately as two operating modes. The "normal monitoring mode + first anomaly diagnosis mode" is a mode in which the normal monitoring mode and the aforementioned first anomaly diagnosis mode are executed simultaneously. The "normal monitoring mode + second anomaly diagnosis mode" is a mode in which the normal monitoring mode and the aforementioned second anomaly diagnosis mode are executed simultaneously. Furthermore, the number of operating mode types comprising each operating sequence of the leakage current sensor 10 can also be greater than three. As described above, in the second embodiment, two operating modes or three or more operating modes form a group, and the leakage current sensor 10 operates accordingly. <Wirkung der zweiten Ausführungsform>

[0107] According to the second embodiment, the operating sequence determination unit 236 of the equipment diagnostic device 200 determines the operating sequence of the leakage current sensor 10 based on the acquisition result of the condition monitoring sensor 20 and the environmental information indicating the operating environment of the load equipment 1. This allows a variety of diagnostic modes to be executed, thereby increasing the information content for assessing anomaly diagnostics on the load equipment 1. This, in turn, increases the reliability of the equipment diagnostic device 200A. (Third embodiment)

[0108] Fig. Figure 13 is a block diagram showing the configuration of an equipment diagnostic system 350 according to a third embodiment. Fig. 13 was assigned to each component that was connected to a Fig. 1 or Fig. Component 6 shown is identical to or corresponds to the same reference symbol as in Fig. 1 or Fig. 6. The third embodiment differs from the second embodiment in that a server 50, which communicates with the equipment diagnostics unit 100, cooperates with the anomaly assessment unit 37 and the operating mode determination unit 36. Except for this feature, the third embodiment is identical to the first embodiment.

[0109] As in Fig. As shown in Figure 13, the equipment diagnostic system 350 comprises the equipment diagnostic device 100 and the server 50 as an external server. Server 50 communicates with the equipment diagnostic device 100 via a network. Server 50 is, for example, a cloud server.

[0110] Server 50 performs diagnostics on the load equipment 1 in cooperation with the anomaly assessment unit 37. Furthermore, Server 50, in cooperation with the operating mode determination unit 36, determines the operating mode of the leakage current sensor 10. Accordingly, the switching condition can be updated by the operating mode determination unit 36 ​​based on the assessment result of the anomaly assessment unit 37. Moreover, compared to a configuration without Server 50 (stand-alone configuration), the deployment of Server 50, into which information is entered in various fields, increases the amount of information used to generate the diagnostics on the load equipment 1 (see Fig. 1), which can increase the reliability of the diagnostics on the load equipment 1. In addition, the server 50 can analyze the correlation between the condition monitoring sensor 20 and the leakage current sensor 10 by using artificial intelligence or the like, thereby increasing the reliability of the diagnostics on the load equipment 1.

[0111] Fig. Figure 14 is a block diagram showing another example of the configuration of the equipment diagnostic system 350 according to the third embodiment. As shown in Fig. As shown in Figure 14, the equipment diagnostic system 350 can also be formed with the equipment diagnostic device 100A according to the modification of the first embodiment and the server 50. In this case, the server 50 can analyze the correlation between the near-surrounding information acquisition unit 20A and the leakage current sensor 10 by using artificial intelligence or the like. <Wirkung der dritten Ausführungsform>

[0112] According to the third embodiment described above, the equipment diagnostic system 350 comprises the equipment diagnostic unit 100 and the server 50, which communicates with the equipment diagnostic unit 100, 100A via the network. The server 50, in cooperation with the anomaly assessment unit 37, performs the diagnostics on the load equipment 1. This increases the reliability of the diagnostics on the load equipment 1. Accordingly, an equipment diagnostic system 350 can be provided that enables cost-effective and simple diagnostics on the load equipment 1 as well as high diagnostic reliability.

[0113] Furthermore, according to the third embodiment, the server 50, in cooperation with the operating mode determination unit 36, determines the operating mode of the leakage current sensor 10. Accordingly, the operating mode switching condition can be updated by the operating mode determination unit 36 ​​based on the assessment result of the anomaly assessment unit 37. (Modification of the third embodiment)

[0114] Fig. Figure 15 is a block diagram showing the configuration of an equipment diagnostic system 350A according to a modification of the third embodiment. Fig. 15 is each component that is connected to a Fig. Component shown in 10 is identical to or corresponds to the same reference symbol as in Fig. 10. The equipment diagnostic system 350A according to the modification of the third embodiment differs from the equipment diagnostic system 350 according to the third embodiment in that the equipment diagnostic system 350A is formed with the equipment diagnostic device 200 according to the second embodiment and the server 50. Apart from this feature, the equipment diagnostic system 350A according to the modification of the third embodiment is the same as the equipment diagnostic system 350 according to the third embodiment.

[0115] As in Fig. As shown in Figure 15, the equipment diagnostic system 350A comprises the equipment diagnostic unit 200 and the server 50. The server 50 communicates with the equipment diagnostic unit 200 via a network. The server 50, in cooperation with the operating sequence determination unit 236, determines the operating sequence of the leakage current sensor 10. Accordingly, the operating sequence switching condition can be updated by the operating sequence determination unit 236 based on the evaluation result of the anomaly evaluation unit 37.

[0116] Fig. Figure 16 is a block diagram showing another example of the configuration of the 350A equipment diagnostic system according to the modification of the third embodiment. As shown in Fig. As shown in Figure 16, the equipment diagnostic system 350A can also be used with the aforementioned equipment diagnostic device 200A, shown in Figure 16. Fig. 11, and server 50. <Wirkung der Modifikation der dritten Ausführungsform>

[0117] According to the modification of the third embodiment described above, the server 50, in cooperation with the operating sequence determination unit 236, determines the operating sequence of the leakage current sensor 10. Accordingly, the operating sequence switching condition can be updated by the operating sequence determination unit 236 based on the evaluation result of the anomaly evaluation unit 37. (Fourth embodiment)

[0118] Fig. Figure 17 is a block diagram showing the configuration of an equipment diagnostic system 350B according to a fourth embodiment. Fig. 17 was assigned to each component that was associated with a Fig. 1 or Fig. Component 6 shown is identical to or corresponds to the same reference symbol as in Fig. 1 or Fig. 6. The fourth embodiment differs from the first or third embodiments in that a plurality of equipment diagnostic devices 100 form a network and the plurality of equipment diagnostic devices 100, in cooperation with one another, determine the operation of the anomaly assessment unit 37 and the operating mode determination unit 36 ​​via the network. Except for this feature, the fourth embodiment is identical to the first or third embodiments. The plurality of equipment diagnostic devices 100 comprise an equipment diagnostic device 100 and a group of other equipment diagnostic devices that communicate with the equipment diagnostic device 100 via the network.

[0119] As in Fig. As shown in Figure 17, the Equipment Diagnostic System 350B comprises a multitude of Equipment Diagnostic Units 100. These multiple Equipment Diagnostic Units 100 communicate with each other via the network. The network can be, for example, a wireless network or a mesh network.

[0120] Each equipment diagnostic unit 100 in the network performs diagnostics on the load equipment 1 in cooperation with the anomaly assessment unit 37 of a specific equipment diagnostic unit 100. Furthermore, in a similar manner, each equipment diagnostic unit 100 in the network determines the operating mode of the leakage current sensor 10 by working in cooperation with the operating mode determination unit 36 ​​of the respective equipment diagnostic unit. Accordingly, the switching condition can be updated by the operating mode determination unit 36 ​​based on the assessment result of the anomaly assessment unit 37.Compared to a stand-alone configuration, the use of information in the equipment diagnostic facilities 100, into which information is entered in various fields, increases the amount of information used to create diagnostics on the load equipment 1 (see . Fig. 1), which can increase the reliability of the diagnostics on the load equipment 1. Furthermore, the reliability of the diagnostics on the load equipment 1 can be increased by analyzing the correlation between the condition monitoring sensor 20 and the leakage current sensor 10 using artificial intelligence or the like via distributed processing by the equipment diagnostic devices 100 in the network. After the diagnostics / analysis by the designated equipment diagnostic device 100 is completed, the diagnostics / analysis is subsequently performed sequentially by designating one of the multiple equipment diagnostic devices 100 in the network as the designated equipment diagnostic device 100.

[0121] Fig. Figure 18 is a block diagram showing another example of the configuration of the 350B equipment diagnostic system according to the fourth embodiment. As shown in Fig. As shown in Figure 18, the equipment diagnostic system 350 can also be used with the equipment diagnostic devices 100A (shown in Figure 18). Fig. 9 and Fig. 14) according to the modification of the first embodiment. In this case, the correlation between the near-surrounding information acquisition unit 20A and the leakage current sensor 10 can be analyzed by the equipment diagnostic devices 100A in the network using artificial intelligence or the like through distributed processing. <Wirkung der vierten Ausführungsform>

[0122] According to the fourth embodiment described above, in the equipment diagnostic system 350B, a plurality of equipment diagnostic units 100, 100A communicate over the network and perform diagnostics on the load equipment 1 by cooperating with the anomaly assessment unit 37 of a specific equipment diagnostic unit 100, 100A. This increases the reliability of the diagnostics on the load equipment 1 and enables a serverless configuration. Accordingly, an equipment diagnostic system 350B can be provided that offers low costs, eliminates system failures caused by a single server failure or the like, provides simple diagnostics on the load equipment 1, and ensures high diagnostic reliability.

[0123] Furthermore, according to the fourth embodiment, a plurality of equipment diagnostic devices 100, 100A determine the operating mode of the leakage current sensor 10 by cooperating with the operating mode determination unit 36 ​​of the respective equipment diagnostic device 100, 100A. Accordingly, the operating mode switching condition can be updated by the operating mode determination unit 36 ​​based on the evaluation result of the anomaly evaluation unit 37. (Modification of the fourth embodiment)

[0124] Fig. Figure 19 is a block diagram showing the configuration of an equipment diagnostic system 350C according to a modification of the fourth embodiment. Fig. 19 contains components that are connected to Fig. The 10 components shown are identical to or correspond to these, and these components have the same reference symbols as in Fig. 10. The equipment diagnostic system 350C according to the modification of the fourth embodiment differs from the equipment diagnostic system 350B according to the fourth embodiment in that the equipment diagnostic system 350C is formed with a plurality of equipment diagnostic devices 200 according to the second embodiment. Apart from this feature, the equipment diagnostic system 350B according to the modification of the fourth embodiment is the same as the equipment diagnostic system 350 according to the fourth embodiment.

[0125] As in Fig. As shown in Figure 19, the equipment diagnostic system 350C comprises a plurality of equipment diagnostic units 200. The plurality of equipment diagnostic units 200 communicate with each other via the network. Each equipment diagnostic unit 200 in the network determines the operating sequence of the leakage current sensor 10 by cooperating with the operating sequence determination unit 236 of a specific equipment diagnostic unit 200. Accordingly, the operating sequence switching condition can be updated by the operating sequence determination unit 236 based on the evaluation result of the anomaly evaluation unit 37.

[0126] Fig. Figure 20 is a block diagram showing another example of the configuration of the 350C equipment diagnostic system according to the modification of the fourth embodiment. As shown in Fig. As shown in Figure 20, the 350C equipment diagnostic system can also be used with the aforementioned 200A equipment diagnostic devices (shown in Figure 20). Fig. 11 and Fig. 16), shown in Fig. 11, be educated. <Wirkung der Modifikation der vierten Ausführungsform>

[0127] According to the modification of the fourth embodiment described above, a plurality of equipment diagnostic devices 200, 200A communicate via the network and determine the operating sequence of the leakage current sensor 10 by cooperating with the operating sequence determination unit 236 of a specific equipment diagnostic device 200, 200A. Accordingly, the operating sequence switching condition can be updated by the operating sequence determination unit 236 based on the evaluation result of the anomaly evaluation unit 37. REFERENCE MARK LIST

[0128] 1: Load equipment, 2: Power supply unit, 3a, 3b, 3c: Electrical line, 9: Ground, 10: Leakage current sensor, 11: Magnetic core, 11a: Hollow part, 12: Excitation coil, 13: Detection coil, 20: Condition sensing sensor, 20A: Near-surround information acquisition unit, 30, 30A, 230: Control unit, 31: Leakage current sensor control unit, 32: First signal acquisition unit, 33: First signal processing unit, 34: Second signal acquisition unit, 35: Second signal processing unit, 36: Operating mode determination unit, 37: Anomaly evaluation unit, 50: Server, 100, 100A, 200, 200A: Equipment diagnostic unit, 236: Operating sequence determination unit, 350, 350A, 350B, 350C: Equipment diagnostic system QUOTES CONTAINED IN THE DESCRIPTION

[0000] This list of documents cited by the applicant was automatically generated and is included solely for the reader's convenience. The list is not part of the German patent or utility model application. The DPMA accepts no liability for any errors or omissions. Cited patent literature

[0000] JP 2019-109192

[0006] JP 2013-539538

[0006] JP 2019-135455

[0006] WO 2018 / 087885

[0006] JP 2017-181437

[0006] JP 2021-144054

[0006] < / funktionsweise>

Claims

[1] Equipment diagnostic device for performing a diagnosis on load equipment powered by electrical energy supplied from a power supply unit via an electrical circuit, the equipment diagnostic device comprising: a leakage current sensor for outputting a detection signal in a waveform corresponding to the electric current leaking from the electric circuit; an equipment state acquisition unit for acquiring an equipment state as at least one of a state of the load equipment and a state of the vicinity of the load equipment; an operation mode determination unit for determining an operation mode of the leakage current sensor in an operation mode for leakage detection in normal times or an operation mode for abnormality diagnosis based on a state signal output from the equipment state acquisition unit; a leakage current sensor driving unit for causing the leakage current sensor to operate in the operating mode determined by the operating mode determining unit; and a diagnostic unit for performing the diagnosis based on the detection signal output by the leakage current sensor and the status signal output by the equipment status acquisition unit, wherein, when the equipment state satisfies a predetermined switching condition while the leakage current sensor operates in the leakage detection operation mode in normal times, the operation mode determining unit switches the operation mode of the leakage current sensor to the abnormality diagnosis operation mode. [2] The equipment diagnostic device according to claim 1, wherein the current detection sensitivity when the leakage current sensor operates in the abnormality diagnosis operation mode is higher than the current detection sensitivity when the leakage current sensor operates in the normal time leakage detection operation mode. [3] The equipment diagnostic device according to claim 1 or 2, wherein a frequency range when the leakage current sensor operates in the abnormality diagnosis operation mode is larger than a frequency range when the leakage current sensor operates in the normal time leakage detection operation mode. [4] Equipment diagnostic device according to one of claims 1 to 3, wherein the equipment state acquisition unit outputs a signal as the state signal, the signal corresponding to a vibration or a noise occurring in the load equipment, and when an amplitude of the signal is greater than or equal to a predetermined threshold, the operation mode determination unit determines that the switching condition is met and switches the operation mode of the leakage current sensor to the abnormality diagnosis operation mode. [5] The equipment diagnostic device according to claim 4, wherein, when the amplitude of the signal is smaller than the threshold value, the operation mode determining unit determines that the switching condition is not satisfied and keeps the operation mode of the leakage current sensor in the operation mode for leakage detection in normal times. [6] The equipment diagnostic device according to any one of claims 1 to 5, wherein the equipment state acquisition unit comprises at least one of a vibration sensor for measuring vibration of the load equipment, a temperature sensor or infrared sensor for measuring temperature of the load equipment, a motion sensor for detecting movement of the load equipment, an abnormal noise sensor for detecting abnormal noise when the load equipment is in operation, an electromagnetic wave sensor for detecting presence or absence of electrical discharge in the load equipment, a water leakage current sensor for detecting presence or absence of water leakage in the load equipment, an oil leakage current sensor for detecting presence or absence of oil leakage in the load equipment, or a smoke sensor,to detect the presence or absence of smoke in the load equipment. [7] The equipment diagnostic device according to any one of claims 1 to 5, wherein the equipment state acquiring unit is a noise meter for measuring electrical noise or electromagnetic noise of the load equipment. [8] The equipment diagnostic device according to any one of claims 1 to 7, wherein the near environment of the load equipment acquired by the equipment state acquiring unit includes at least one of weather at an installation site where the load equipment is installed, precipitation at the installation site, illuminance at the installation site, wind speed at the installation site, temperature at the installation site, or humidity at the installation site. [9] Equipment diagnostic device according to one of claims 1 to 8, wherein the anomaly diagnosis operating mode comprises a first anomaly diagnosis mode of operation with a first dynamic measurement range and a second anomaly diagnosis mode of operation with a second dynamic measurement range, and when the switching condition is met, the operation mode determination unit sequentially performs switching from the normal time leakage detection operation mode to the first abnormality diagnosis mode, switching from the first abnormality diagnosis mode to the second abnormality diagnosis mode, and switching from the second abnormality diagnosis mode to the normal time leakage detection operation mode. [10] Equipment diagnostic device according to one of claims 1 to 9, wherein the leakage current sensor comprises: a core part; a first coil wound around the core part and conducting exciting current as a drive current supplied from the leakage current sensor drive unit; and a second coil wound around the core part and outputting, as the detection signal, a signal representing an induced electromotive force, the induced electromotive force occurring due to the exciting current. [11] The equipment diagnostic device according to claim 10, wherein the leakage current sensor driving unit causes the leakage current sensor to operate in the operation mode determined by the operation mode determining unit by controlling at least one of a current value of the exciting current, a frequency of the exciting current, or a waveform of the exciting current. [12] The equipment diagnostic device according to any one of claims 1 to 11, further comprising a notification unit for notifying the result of the diagnosis by the diagnostic unit. [13] Equipment diagnostic system comprising: the equipment diagnostic device according to any one of claims 1 to 12; and a server to communicate with the equipment diagnostic device via a network, wherein the server performs the diagnosis on the load equipment by cooperating with the diagnostic unit. [14] The equipment diagnostic system according to claim 13, wherein the server determines the operation mode of the leakage current sensor by cooperating with the operation mode determination unit. [15] Equipment diagnostic system comprising: the equipment diagnostic device according to any one of claims 1 to 12; and a group of other equipment diagnostic devices to communicate with the equipment diagnostic device via a network, wherein the group of other equipment diagnostic devices performs the diagnosis on the load equipment by causing their diagnostic units to cooperate with each other. [16] The equipment diagnostic system according to claim 15, wherein the equipment diagnostic means determines the operation mode of the leakage current sensor by cooperating with the operation mode determining unit.

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