Monitoring device, monitoring system, and monitoring method

Abstract

This monitoring device is for monitoring a rotating electrical machine provided with a rotor and a stator frame for accommodating a stator, the monitoring device comprising: an actual temperature distribution acquisition unit for acquiring actual temperature distribution data indicating the distribution of actual temperatures within the stator frame through imaging by an infrared camera disposed within the stator frame; an estimated temperature distribution acquisition unit for acquiring time-of-imaging estimated temperature distribution data indicating the distribution of estimated temperatures within the stator frame, which corresponds to a time-of-imaging operating parameter that is an operating parameter of the rotating electrical machine at the time of imaging by the infrared camera; and an abnormality assessment unit that assesses whether or not there is an abnormality in the rotating electrical machine on the basis of results of comparison of the actual temperatures indicated by the actual temperature distribution data and the estimated temperatures indicated by the time-of-imaging estimated temperature distribution data.

Description

Monitoring device, monitoring system, and monitoring method

[0001] The present disclosure relates to a monitoring device, a monitoring system, and a monitoring method for monitoring abnormalities in a rotating electrical machine such as a generator or an electric motor.

[0002] In the monitoring system disclosed in Patent Document 1, a small camera is disposed inside a rotating electrical machine, and through observation using the small camera, it is determined whether or not there is an abnormality inside the rotating electrical machine.

[0003] Special table 2015-528277 publication

[0004] In the above monitoring system, it is difficult to detect a sign of an abnormality that can be visually confirmed through a visible light camera before the abnormality occurs.

[0005] An object of the present disclosure is to provide a monitoring device, a monitoring system, and a monitoring method that are capable of detecting an abnormality in a rotating electrical machine at an early stage.

[0006] A monitoring device according to at least one embodiment of the present disclosure is a monitoring device for monitoring a rotating electric machine having a stator frame that houses a rotor and a stator, and includes: an actual temperature distribution acquisition unit for acquiring actual temperature distribution data that indicates the actual temperature distribution within the stator frame through imaging by an infrared camera arranged within the stator frame; an estimated temperature distribution acquisition unit for acquiring estimated temperature distribution data at the time of imaging that indicates the estimated temperature distribution within the stator frame that corresponds to operating parameters at the time of imaging, which are operating parameters of the rotating electric machine at the time of imaging by the infrared camera; and an abnormality determination unit for determining whether there is an abnormality in the rotating electric machine based on a comparison result between the actual temperature indicated by the actual temperature distribution data and the estimated temperature indicated by the estimated temperature distribution data at the time of imaging.

[0007] A monitoring system according to an embodiment of the present disclosure includes the monitoring device described above and the infrared camera.

[0008] A monitoring method according to one embodiment of the present disclosure is a monitoring method for monitoring a rotating electric machine having a stator frame that houses a rotor and a stator, and includes: an actual temperature distribution acquisition step for acquiring actual temperature distribution data that indicates the actual temperature distribution within the stator frame through imaging by an infrared camera arranged within the stator frame; an estimated temperature distribution acquisition step for acquiring estimated temperature distribution data at the time of imaging that indicates the estimated temperature distribution within the stator frame that corresponds to operating parameters at the time of imaging, which are operating parameters of the rotating electric machine at the time of imaging by the infrared camera; and an abnormality determination step for determining whether or not there is an abnormality in the rotating electric machine based on a comparison result between the actual temperature indicated by the actual temperature distribution data and the estimated temperature indicated by the estimated temperature distribution data at the time of imaging.

[0009] According to the present disclosure, it is possible to provide a monitoring device, a monitoring system, and a monitoring method that are capable of detecting an abnormality in a rotating electrical machine at an early stage.

[0010] FIG. 10 is a schematic diagram showing the internal configuration of a rotating electric machine according to an embodiment; FIG. 11 is a schematic diagram showing a monitoring system according to an embodiment; FIG. 12 is a schematic diagram showing the basic configuration of a monitoring device according to an embodiment; FIG. 13 is a schematic diagram showing an overview of an abnormality determination process according to an embodiment; FIG. 14 is a schematic diagram (first example) showing components that may be additionally provided in a monitoring device according to an embodiment; FIG. 15 is a schematic diagram of a database according to an embodiment; FIG. 16 is a schematic diagram (second example) showing components that may be additionally provided in a monitoring device according to an embodiment; FIG. 17 is a schematic diagram showing an actual temperature distribution image and an estimated temperature distribution image according to an embodiment; FIG. 18 is a schematic diagram showing the process of gradation reduction processing of an actual temperature distribution image according to an embodiment; FIG. 19 is a flowchart showing a monitoring method for a rotating electric machine according to an embodiment; FIG. 19 is a flowchart showing the monitoring method following FIG. 10; FIG. 19 is a flowchart showing display control processing according to an embodiment;

[0011] Several embodiments of the present disclosure will be described below with reference to the accompanying drawings. However, the dimensions, materials, shapes, relative arrangements, etc. of components described as embodiments or shown in the drawings are not intended to limit the scope of the present disclosure and are merely illustrative examples. For example, expressions expressing relative or absolute arrangements, such as "in a certain direction," "along a certain direction," "parallel," "orthogonal," "center," "concentric," or "coaxial," not only strictly express such arrangements, but also express relative displacements with a tolerance or angle or distance to the extent that the same function is achieved. For example, expressions expressing the equality of things, such as "same," "equal," and "homogeneous," not only express strict equality, but also express tolerance or differences to the extent that the same function is achieved. For example, expressions expressing shapes such as a square or cylindrical shape not only express shapes such as a square or cylindrical shape in the strict geometric sense, but also express shapes including concave and convex portions, chamfered portions, etc., to the extent that the same effect is achieved. On the other hand, the expressions "comprise," "include," or "have" one component are not exclusive expressions that exclude the existence of other components. Note that similar components may be assigned the same reference numerals and descriptions thereof may be omitted.

[0012] 1 is a schematic diagram of a rotating electric machine 1 according to an embodiment of the present disclosure. The rotating electric machine 1 includes a rotor 6 having a rotor coil 6b assembled in a rotor core 6a integral with a rotor shaft 7, a stator 2 positioned on the outer periphery of the rotor 6, and a stator frame 4 that houses the rotor 6 and the stator 2. The stator frame 4 supports the rotor shaft 7 via bearings B1 and B2. In the following description, the direction in which an axis 7C of the rotor shaft 7 extends may be simply referred to as the "axial direction."

[0013] The rotor 6 includes a rotor core 6a fixed to the rotor shaft 7 and a rotor coil 6b, which is a field coil wound around the rotor core 6a. The stator 2 includes a stator core 5 and a stator coil 3 wound around the stator core 5. The stator coil 3 has coil ends 3a protruding in the axial direction from the stator core 5 and lead portions 3b connected to an external electrical system (not shown).

[0014] The rotor shaft 7 is connected to a prime mover (not shown). In an embodiment in which the rotating electric machine 1 is a generator, the prime mover may be a turbine such as a gas turbine or a steam turbine, in which case the generator may be a synchronous generator. The operating principle of a synchronous generator is as follows: When the prime mover rotates the rotor 6, which is formed by incorporating a rotor coil 6b into a rotor core 6a that is integral with the rotor shaft 7, a circumferential magnetic flux is generated by a field current flowing through the rotor coil 6b. This magnetic flux interlinks with the stator coil 3 as the rotor 6 rotates, generating electric power. The generated electric power is supplied to an external electrical system (more specifically, a load) via the output 3b.

[0015] The rotating electric machine 1 according to another embodiment may be an electric motor. The electric motor may be, for example, a synchronous motor, and its operating principle is as follows: When power is supplied to the stator coil 3 from an external electrical system (more specifically, a power supply), a current flows through the stator coil 3. A magnetic attraction force is generated by the interaction between a rotating magnetic field generated by controlling the energization of the stator coil 3 and a field magnetic field generated by a field current flowing through the rotor coil 6b, and the rotor 6 rotates due to the generated rotational torque.

[0016] When the rotating electric machine 1 operates as described above, the temperatures of the coil ends 3 a of the stator coil 3, the lead portions 3 b of the stator coil 3, the axial ends 5 a of the stator core 5, the axial ends 6 c of the rotor core 6 a, and the outer periphery 6 d of the rotor core 6 a increase. In this embodiment, at least one of the above five components is used as an object 18 to be photographed by an infrared camera 11 (see FIG. 2 ), which will be described later, to determine whether there is an abnormality in the rotating electric machine 1. The "object 18" described below corresponds to at least one of the coil ends 3 a, the lead portions 3 b, the ends 5 a of the stator core 5, the ends 6 c of the rotor core 6 a, and the outer periphery 6 d of the rotor core 6 a.

[0017] It is preferable that the photographed object 18 includes at least one of the coil end 3 a and the lead portion 3 b, because thermal damage to the coil end 3 a and the lead portion 3 b can lead to serious abnormalities such as a short circuit in the rotating electric machine 1. By detecting such damage in advance, it is possible to prevent a short circuit accident.

[0018] <Basic Configuration of Monitoring System 10> A monitoring system 10 including a monitoring device 50 for monitoring a rotating electric machine 1 will be described with reference to Figures 2 to 4. Figure 2 is a schematic diagram showing the monitoring system 10 according to an embodiment of the present disclosure. Figure 3 is a schematic diagram showing the basic configuration of the monitoring device 50 according to an embodiment of the present disclosure. Figure 4 is a schematic diagram showing an overview of an abnormality determination process according to an embodiment of the present disclosure.

[0019] 2, the monitoring system 10 includes an infrared camera 11 disposed inside the stator frame 4 and a monitoring device 50 for monitoring the rotating electric machine 1. The infrared camera 11 is configured to generate actual temperature distribution data Dr indicating the actual temperature distribution inside the stator frame 4, and the actual temperature distribution data Dr is sent to the monitoring device 50 located outside the stator frame 4. The infrared camera 11 may be electrically connected to the monitoring device 50 via a wireless network or via a cable. Details of the actual temperature distribution data Dr will be described later.

[0020] The monitoring system 10 further includes a visible light camera 12, an infrared camera rail 31, a visible light camera rail 32, and a display device 8. The visible light camera 12 is disposed inside the stator frame 4. Image data Im captured by the visible light camera 12 is sent to the monitoring device 50. The visible light camera 12 may be electrically connected to the monitoring device 50 via a wireless network or via a cable. The visible light camera 12 is capable of capturing an image of the object 18 captured by the infrared camera 11. The display device 8 is configured to display the actual temperature distribution data Dr generated by the infrared camera 11 or the image data Im generated by the visible light camera 12.

[0021] The infrared camera rail 31 and the visible light camera rail 32 movably support the infrared camera 11 and the visible light camera 12 inside the stator frame 4. This allows the imaging range of the infrared camera 11 and the visible light camera 12 to be widened, enabling monitoring over a wide area inside the stator frame 4.

[0022] 2 shows one infrared camera 11 and one visible light camera 12, the present disclosure is not limited to this, and the number of each may be two or more. In this case, the number of each infrared camera rail 31 and visible light camera rail 32 will also be two or more. Furthermore, the visible light camera 12, the infrared camera rail 31, the visible light camera rail 32, and the display device 8 are not essential components of the present disclosure. The surveillance system 10 may not include at least one of these components.

[0023] 3 , the monitoring device 50 includes a processor 59. The processor 59 includes an actual temperature distribution acquisition unit 51, an operating parameter acquisition unit 54, an estimated temperature distribution acquisition unit 52, and an abnormality determination unit 55. The actual temperature distribution acquisition unit 51 is configured to acquire actual temperature distribution data Dr from the infrared camera 11.

[0024] As shown on the left side of FIG. 4 , the actual temperature distribution data Dr is image data showing how the actual temperature is distributed in the region R corresponding to the imaging range of the infrared camera 11. More specifically, the region R includes multiple partial regions r, and data indicating the actual temperature is assigned to each partial region r (in FIG. 4 , the darker the hatching in each partial region r, the higher the temperature). The data indicating the actual temperature may be specific numerical data, or more specifically, a gradation value corresponding to the temperature. The gradation value may be a gradation value for each of red (R), green (G), and blue (B). Note that the surface temperature of the object 18 described above is assigned to at least one of the multiple partial regions r indicated by the actual temperature distribution data Dr. In other words, it is understood that at least one of the multiple partial regions r is an image region in which the object 18 is captured.

[0025] 3 , the operating parameter acquisition unit 54 is configured to acquire operating parameters P of the rotating electric machine 1. The operating parameters P are parameters that indicate the operating state of the rotating electric machine 1 and also parameters that affect the temperature of the object 18 to be photographed. The operating parameters P acquired by the operating parameter acquisition unit 54 are sent to the actual temperature distribution acquisition unit 51 and the estimated temperature distribution acquisition unit 52.

[0026] The driving parameters P are measured by a measuring instrument 99, which is at least one measuring device (not shown) arranged in the rotating electric machine 1. The measuring instrument 99 measures the driving parameters P at each specified timing, and the measured driving parameters P are sent to the driving parameter acquisition unit 54. The measurement timing of the measuring instrument 99 includes the timing at which the infrared camera 11 performs imaging. Hereinafter, the driving parameters P at the time of imaging by the infrared camera 11 may be referred to as "driving parameters Ps at the time of imaging."

[0027] The estimated temperature distribution acquisition unit 52 is configured to acquire estimated temperature distribution data Dsp at the time of imaging based on the operation parameters Ps at the time of imaging. The estimated temperature distribution data Dsp at the time of imaging indicates the distribution of estimated temperatures within the stator frame 4 corresponding to the operation parameters Ps at the time of imaging. In other words, the estimated temperature distribution data Dsp at the time of imaging indicates the distribution of estimated temperatures within the stator frame 4 at the timing when the actual temperature distribution data Dr is acquired. As will be described in detail later, the estimated temperatures may be estimated values ​​obtained using a physical model Pm (see FIG. 5 ), or may be actual temperatures obtained through past imaging by the infrared camera 11 (i.e., temperatures estimated based on past performance).

[0028] As shown on the right side of Fig. 4, the estimated temperature distribution data Dsp at the time of photography is image data showing how the estimated temperature is distributed in a region S corresponding to a region R of the actual temperature distribution data Dr. The region S includes multiple partial regions s, and data showing the estimated temperature is assigned to each partial region s (in Fig. 4, the darker the hatching in each partial region s, the higher the temperature). At least one of the multiple partial regions s corresponds to the partial region r described above, which is understood to be the image region in which the photographed object 18 is captured. This correspondence between the partial regions r and s is known in advance and is used in the process of comparing the estimated temperature distribution data Dsp at the time of photography with the actual temperature distribution data Dr.

[0029] Returning to Figure 3, the abnormality determination unit 55 is configured to determine whether there is an abnormality in the rotating motor 1 based on the comparison result between the actual temperature indicated by the actual temperature distribution data Dr and the estimated temperature indicated by the estimated temperature distribution data Dsp at the time of shooting.

[0030] 4 , a more specific example of the determination process of the abnormality determination unit 55 is shown. A deviation value (more specifically, a temperature difference) between the actual temperature and the estimated temperature is calculated between each partial region r and each partial region s corresponding to each partial region r. If there is a partial region r or s where the deviation value exceeds a specified value, the abnormality determination unit 55 determines that there is an abnormality in the rotating electric machine 1. For example, if the temperature of the object 18 to be photographed suddenly increases due to some factor, the deviation value in either partial region r or s exceeds the specified value. In this case, it is determined that there is an abnormality in the rotating electric machine 1. On the other hand, if the deviation value is equal to or less than the specified value in both partial regions r and s, it is determined that there is no abnormality in the rotating electric machine 1.

[0031] The present disclosure is not limited to calculating the temperature deviation value between all partial regions r and s indicated by the actual temperature distribution data Dr and the temperature distribution data estimated at the time of shooting Dsp. For example, the temperature deviation value may be calculated only between a partial region r corresponding to an image region in which the object 18 is captured and a partial region s corresponding to the partial region r.

[0032] According to the above configuration, if the deviation value between the actual temperature and the estimated temperature is large, the abnormality determination unit 55 can determine that there is an abnormality in the rotating electric machine 1. Because whether there is an abnormality in the rotating electric machine 1 is determined based on the temperature, it is possible to detect a sign of the abnormality before the abnormality that would be visually confirmed using the visible light camera 12 or the like actually occurs. Thus, a monitoring device 50 that can detect an abnormality in the rotating electric machine 1 at an early stage is realized.

[0033] <Additional Components of Monitoring Device 50 (First Example)> Fig. 5 is a schematic diagram (first example) showing components that may be additionally provided in the monitoring device 50. In Fig. 5, the same components as in Fig. 4 are assigned the same reference numerals. Fig. 6 is a schematic diagram of a database DB according to an embodiment of the present disclosure.

[0034] The estimated temperature distribution acquisition unit 52 includes a first estimated temperature distribution acquisition unit 61 configured to acquire estimated temperature distribution data Dsp at the time of shooting using a physical model Pm. The physical model Pm is stored in a memory 58, which is a component of the monitoring device 50. The estimated temperature distribution acquisition unit 52 reads the physical model Pm from the memory 58 and executes calculation processing defined by the physical model Pm.

[0035] The physical model Pm is configured to output estimated temperature distribution data Dp indicating the distribution of estimated temperatures within the stator frame 4 when the operating parameters P are input. In other words, the operating parameters P are input to the physical model Pm as input parameters, and the estimated temperature distribution data Dp is output from the physical model Pm as output parameters. The output estimated temperature distribution data Dp is treated as estimated temperature distribution data Dsp at the time of imaging by the first estimated temperature distribution acquisition unit 61. Note that the operating parameters P in this case are multiple parameters.

[0036] The physical model Pm in this example is a model based on multiple regression analysis, and is defined by, for example, the following equation (1): Y=a ０ +Σa ｎ X ｎ In equation (1), n ​​is an arbitrary natural number. Y is a target variable (i.e., an output parameter), and a ０ is a constant, and a ｎ is a weighting coefficient, and X ｎ are explanatory variables (i.e., input parameters).

[0037] As a more specific example, the formula (1) is expressed as the formula (1A). ０ +a １ X １ +a ２ X ３ +a ３ X ３ +a ４ X ４ +a ５ X ５ ...Equation (1A) In equation (1A), Y is the temperature at an arbitrary point in the captured image, and X １ is the active power of the rotating electrical machine 1, and X２ is the reactive power of the rotating electrical machine 1, and X ３ is the rotation speed of the rotor 6, and X ４ is the voltage at the outlet 3b of the rotating electrical machine 1, and X is the temperature of the cooling gas. １ ∼X5 is an operating parameter P measured by the measuring instrument 99. Note that the operating parameter P is not limited to a parameter measured by the measuring instrument 99, but may be a parameter determined by various calculations. The estimated temperature distribution data Dp is obtained by determining the temperature at a large number of points using equation (1A) so as to cover all points in the captured image. When the division is rough and does not cover all points in the captured image, the estimated temperature distribution data Dp can be obtained by extrapolating or linearly interpolating the temperature at each point determined using equation (1A).

[0038] Note that the physical model Pm according to another embodiment may be a model based on a neural network. In this case, the physical model Pm may be stored in a server located at a remote location instead of being stored in the memory 58 of the monitoring device 50. The server receives the operating parameters P sent from the first estimated temperature distribution acquisition unit 61, and the received operating parameters P are input to the physical model Pm. The server transmits estimated temperature distribution data Ds output from the physical model Pm to the first estimated temperature distribution acquisition unit 61. The transmitted estimated temperature distribution data Dp is treated as estimated temperature distribution data Dsp at the time of shooting and is used by the anomaly determination unit 55 for comparison with the actual temperature distribution data Dr.

[0039] According to the above configuration, the operation parameters Ps at the time of imaging are input to the physical model Pm, thereby acquiring the estimated temperature distribution data Dsp at the time of imaging. This allows the abnormality determination unit 55 to determine whether or not there is an abnormality in the rotating electric machine 1 without using data indicating the actual temperature distribution in the past. Therefore, even when the rotating electric machine 1 is operated at an operating point that has never been operated before, the abnormality determination unit 55 can determine whether or not there is an abnormality in the rotating electric machine 1. As a more specific example, even when a new rotating electric machine 1 is installed and no operating history of the rotating electric machine 1 has been accumulated, the abnormality determination unit 55 can determine whether or not there is an abnormality by using the physical model Pm.

[0040] 5 and 6 , the description of additional components of the monitoring device 50 will be continued. The memory 58 of the monitoring device 50 stores a database DB that stores a data set Dt. The data set Dt associates past actual temperature distribution data Drp with past image-capturing operation parameters Psp. Here, the past actual temperature distribution data Drp is actual temperature distribution data Dr previously acquired by the actual temperature distribution acquisition unit 51, and is data obtained each time the infrared camera 11 is operated. Furthermore, the past image-capturing operation parameters Psp are operation parameters P measured by the measuring instrument 99 when the past actual temperature distribution data Drp was acquired. In other words, the past image-capturing operation parameters Psp are past operation parameters P measured by the measuring instrument 99 each time the infrared camera 11 is operated. A number of such data sets Dt are stored in the database DB (see FIG. 6 ). Note that the past actual temperature distribution data Drp included in each data set Dt may be stored in image data format.

[0041] In this embodiment, when the actual temperature distribution acquisition unit 51 acquires the latest actual temperature distribution data Dr, it determines whether past actual temperature distribution data Drp suitable for comparison with the latest actual temperature distribution data Dr is stored in the database DB. This determination is made by searching the database DB for past operating parameters Psp at the time of shooting that are the same as the operating parameters Ps at the time of shooting when the latest actual temperature distribution data Dr was acquired. If suitable past actual temperature distribution data Drp is stored, it is determined whether an abnormality exists in the rotating electric machine 1 based on the comparison result between this past actual temperature distribution data Drp and the latest actual temperature distribution data Dr. In other words, in the abnormality determination process according to this embodiment, the past actual temperature distribution data Drp is used as the estimated temperature distribution data Dsp at the time of shooting to be compared with the actual temperature distribution data Dr.

[0042] 5 further includes a performance determination unit 63 and a second estimated temperature distribution acquisition unit 62. The performance determination unit 63 is configured to determine whether any of the data sets Dt stored in the database DB includes a previous imaging-time operating parameter Psp that can be considered to be the same as the imaging-time operating parameter Ps when the latest actual temperature distribution data Dr was acquired.

[0043] For example, when the latest actual temperature distribution data Dr is acquired, the operation parameter Ps at the time of shooting is X １ , X ２ , ..., X ｎ The data set Dt includes n parameters such as the above. Then, it is determined whether any of the data sets Dt includes a driving parameter Psp at the time of previous shooting, for which the deviation amount for each of the n parameters is within a threshold value. The threshold value may be a value that varies for each of the n parameters, and in this case, each threshold value may be a value of several percent or less for each parameter. If any of the data sets Dt includes the driving parameter Psp at the time of previous shooting, the performance determination unit 63 makes a positive determination, and if not, a negative determination is made.

[0044] If the performance determination unit 63 makes a positive determination, the second estimated temperature distribution acquisition unit 62 acquires, from the data set Dt, past actual temperature distribution data Drp associated with the operating parameters Psp at the time of previous imaging that are deemed to be the same. This past actual temperature distribution data Drp is data obtained by comparing the operating conditions of the rotating electric machine 1 at the time the latest actual temperature distribution data Dr was acquired with past operating performance. This data is understood to estimate the temperature distribution in a state where the rotating electric machine 1 is normal. In this embodiment, this past actual temperature distribution data Drp is treated as estimated temperature distribution data Dsp at the time of imaging and is used in the abnormality determination process of the abnormality determination unit 55.

[0045] According to the above configuration, the abnormality determination unit 55 can use the estimated temperature indicated by the past actual temperature distribution data Drp acquired by the second estimated temperature distribution acquisition unit 62 to compare with the actual temperature. Because the past actual temperature distribution data Drp is data acquired based on past operating results, treating the past actual temperature distribution data Drp as the estimated temperature distribution data Dsp at the time of imaging can increase the reliability of the estimated temperature, and the abnormality determination unit 55 can accurately determine whether an abnormality exists.

[0046] Data sets Dt are sequentially added to the database DB according to this embodiment. The outline of this process is as follows: First, it is determined whether the actual temperature distribution data Dr acquired by the actual temperature distribution acquisition unit 51 indicates an abnormality. In this determination, the estimated temperature of the estimated temperature distribution data Dsp at the time of shooting output by the physical model Pm may be used as a comparison target. The actual temperature distribution data Dr determined not to indicate an abnormality is associated with the operating parameters Ps at the time of shooting (i.e., the operating parameters Psp at the time of previous shooting) corresponding to the actual temperature distribution data Dr, and a data set Dt is generated. The data set Dt is added to the database DB.

[0047] 5 includes a data set generator 53 configured to generate a data set Dt and a storage controller 56 configured to add the generated data set Dt to the database DB. The data set Dt is generated as follows. It is assumed that the abnormality determination unit 55 determines that there is no abnormality in the rotating electric machine 1 based on a comparison result between the actual temperature indicated by the actual temperature distribution data Dr and the estimated temperature indicated by the estimated temperature distribution data Dsp at the time of image capture acquired by the first estimated temperature distribution acquisition unit 61. In this case, a data set Dt is generated in which the actual temperature distribution data Dr used in the comparison (i.e., the past actual temperature distribution data Drp) is associated with the operating parameters Ps at the time of image capture (i.e., the operating parameters Psp at the time of image capture) corresponding to the actual temperature distribution data Dr.

[0048] The past actual temperature distribution data Drp included in the data set Dt is the actual temperature distribution data Dr when the abnormality determination unit 55 previously determined that there was no abnormality in the rotating electric machine 1. This increases the reliability of the data set Dt stored in the memory 58, thereby increasing the reliability of the estimated temperature indicated by the past actual temperature distribution data Drp acquired by the second estimated temperature distribution acquisition unit 62. This allows the abnormality determination unit 55 to accurately determine whether there is an abnormality based on the comparison result between the estimated temperature indicated by the past actual temperature distribution data Drp acquired by the second estimated temperature distribution acquisition unit 62 and the actual temperature.

[0049] <Additional Components of Monitoring Device 50 (Second Example)> Fig. 7 is a schematic diagram (second example) showing components that may be additionally provided in the monitoring device 50. Fig. 8 is a schematic diagram showing an actual temperature distribution image 21 and an estimated temperature distribution image 22 according to an embodiment of the present disclosure. Fig. 9 is a schematic diagram showing a process of gradation reduction processing of the actual temperature distribution image 21 according to an embodiment of the present disclosure.

[0050] The processor 59 of the monitoring device 50 shown in FIG. 7 further includes a display control unit 70. The display control unit 70 is configured to send display data Dd to the display device 8 for imaging and displaying the actual temperature distribution data Dr and the estimated temperature distribution data Dsp at the time of shooting. In this example, the display data Dd is data for displaying an actual temperature distribution image 21 (see FIG. 8) and an estimated temperature distribution image 22 (see FIG. 8) on the display device 8. Here, the actual temperature distribution image 21 is an image obtained by superimposing the actual temperature distribution indicated by the actual temperature distribution data Dr on a captured image (not shown) indicated by the captured image data Im generated by the visible light camera 12. The estimated temperature distribution image 22 is an image obtained by superimposing the estimated temperature distribution indicated by the estimated temperature distribution data Dsp at the time of shooting on the above-mentioned captured image. The actual temperature distribution image 21 and the estimated temperature distribution image 22 are specific examples of the actual temperature distribution data Dr and the estimated temperature distribution data Dp shown in FIG. 4, respectively. The estimated temperature distribution data Dsp at the time of shooting that is superimposed on the captured image may be obtained from the physical model Pm or from the data set Dt.

[0051] In order to achieve the above-described functions, the display control unit 70 of this example includes an actual image display control unit 71 for sending display data Dd for displaying the actual temperature distribution image 21 to the display device 8, and an estimated image display control unit 72 for sending display data Dd for displaying the estimated temperature distribution image 22 to the display device 8. The actual image display control unit 71 and the estimated image display control unit 72 may perform edge processing in advance on the captured image generated by the visible light camera 12, and then superimpose the actual temperature distribution and the estimated temperature distribution, respectively.

[0052] When the monitoring device 50 is configured to include a display control unit 70, the operator of the monitoring device 50 can visually confirm the actual temperature distribution within the stator frame 4 and the estimated temperature distribution within the stator frame 4 through the display device 8. Furthermore, when the display control unit 70 is configured to include an actual image display control unit 71 and an estimated image display control unit 72, the display device 8 displays an actual temperature distribution image 21 in which the actual temperature distribution is superimposed on an actual photographed image within the stator frame 4, and an estimated temperature distribution image 22 in which the estimated temperature distribution is superimposed on the photographed image. This allows the operator to more intuitively understand the actual temperature distribution and the estimated temperature distribution.

[0053] As shown in FIG. 7, the processor 59 of the monitoring device 50 may further include a gradation reduction processing unit 75 for performing gradation reduction processing to reduce the gradation values ​​of each of the actual temperature distribution data Dr and the temperature distribution data estimated at the time of shooting Dsp.

[0054] FIG. 9 shows the process of applying gradation reduction processing to the actual temperature distribution image 21, and the actual temperature distribution image 21 after the gradation reduction processing is indicated by the reference numeral 21A.

[0055] The outline of the gradation reduction process for the actual temperature distribution image 21 is as follows. First, the actual temperature distribution image 21 is subjected to a process for reducing its resolution (the gradation reduction process includes a process for reducing the resolution of image data). During this process, multiple pixels (e.g., four adjacent pixels) constituting the actual temperature distribution image 21 are grouped and treated as a single new pixel. The average luminance value of the multiple pixels is then assigned to the single new pixel. For example, the average luminance value is calculated for each of red (R), green (G), and blue (B), and the three averaged luminance values ​​are assigned to a single pixel. By performing this process across the entire area of ​​the actual temperature distribution image 21, an actual temperature distribution image 21A that has been subjected to the gradation reduction process is generated. A similar process is also performed on the estimated temperature distribution image 22, but a detailed description will be omitted to avoid duplication. The actual temperature distribution data Dr and the image-capture estimated temperature distribution data Dsp that have been subjected to the gradation reduction process are sent to the anomaly determination unit 55 and used for the determination process.

[0056] According to the above configuration, the gradation reduction processing unit 75 performs gradation reduction processing on the actual temperature distribution data Dr and the temperature distribution data estimated at the time of imaging Dsp, and the abnormality determination unit 55 determines whether or not there is an abnormality in the rotating electric machine 1, based on the actual temperature distribution data Dr and the temperature distribution data estimated at the time of imaging Dsp that have been subjected to gradation reduction processing. Since the data sizes of the actual temperature distribution data Dr and the temperature distribution data estimated at the time of imaging Dsp can be reduced by the gradation reduction processing, the determination processing executed by the abnormality determination unit 55 can be further simplified.

[0057] The above-described gradation reduction process may be partially performed on each of the actual temperature distribution image 21 and the estimated temperature distribution image 22. For example, the operator may be able to specify an area of ​​the actual temperature distribution image 21 where the gradation reduction process is not to be performed.

[0058] To achieve such a function, the processor 59 of the monitoring device 50 shown in Fig. 7 further includes a partial region receiving unit 76. The partial region receiving unit 76 is configured to receive partial region designation data Di that designates an actual image partial region 21a (see Fig. 9) that constitutes a part of the actual temperature distribution image 21. While viewing the actual temperature distribution image 21 displayed on the display device 8, the operator may input an instruction to designate the actual image partial region 21a to the input receiving device 9, which is a component of the monitoring system 10. As a result, the input receiving device 9 sends the partial region designation data Di to the partial region receiving unit 76.

[0059] For example, the operator may specify, as the actual image partial region 21a, only the region in the actual temperature distribution image 21 that includes the photographed object 18 for which the presence or absence of an abnormality should be determined. In this case, since the photographed image is included in the actual temperature distribution image 21, the operator can easily intuitively specify the actual image partial region 21a.

[0060] Assume that an actual image partial region 21a is set in the actual temperature distribution image 21 as shown in Fig. 9. In this case, the region R1 of the actual temperature distribution image 21A that has been subjected to the gradation reduction process is not subjected to the gradation reduction process shown in Fig. 9, and the actual image partial region 21a on the left side is displayed as is within the region R1.

[0061] Furthermore, the gradation reduction processing unit 75 of this example is configured to perform partial gradation reduction processing on the estimated temperature distribution image 22 (see FIG. 8 ). More specifically, the gradation reduction processing may be performed while avoiding an estimated image partial region (not shown) in the estimated temperature distribution image 22 that corresponds to the actual image partial region 21 a. The estimated image partial region can be identified if the correspondence between the region R (see FIG. 4 ) indicated by the actual temperature distribution data Dr and the region S (see FIG. 4 ) indicated by the estimated temperature distribution data Ds is known in advance. However, the present disclosure is not limited to this, and the operator may input an instruction to the input receiving device 9 to specify the estimated image partial region of the estimated temperature distribution image 22.

[0062] According to the above configuration, the operator can specify image regions that are important when determining whether or not there is an abnormality as the actual image partial region 21a and the estimated image partial region. In other words, the operator can specify regions that should be particularly focused on when determining whether or not there is an abnormality in the rotating electric machine 1, and can avoid gradation reduction processing for those regions. Since the data size of the regions that should be particularly focused on is maintained, the abnormality determination unit 55 can accurately determine whether or not there is an abnormality.

[0063] 10 to 12 are flowcharts showing a method for monitoring the rotating electric machine 1 according to an embodiment of the present disclosure. The flowcharts of this example are executed by the processor 59 of the monitoring device 50. Hereinafter, "step" may be abbreviated as "S."

[0064] First, the processor 59 determines whether the timing for determining an abnormality of the rotating electric machine 1 has arrived (S10). The processor 59 waits until the timing for determining an abnormality arrives (S10: NO). If it is determined that the timing for determining an abnormality has arrived (S10: YES), the processor 59 acquires the operating parameters P based on the measurement results of the measuring instrument 99 (S11), and acquires the actual temperature distribution data Dr obtained through photography by the infrared camera 11 (S13). The processor 59 that executes S11 is an example of the operating parameter acquisition unit 54, and the processor 59 that executes S13 is an example of the actual temperature distribution acquisition unit 51.

[0065] Thereafter, the processor 59 determines whether any of the data sets Dt stored in the database DB includes driving parameters Psp at the time of previous imaging that can be considered to be the same as the driving parameters P acquired in S11 (S15). The processor 59 that executes S15 is an example of the performance determination unit 63. If a negative determination is made in S15 (S15: NO), the processor 59 overwrites the flag that was stored as "0" in the memory 58 before the start of this flowchart with "1" (S17).

[0066] Next, the processor 59 inputs the driving parameters P acquired in S11 into the physical model Pm to acquire estimated temperature distribution data Dsp at the time of shooting (S19). The processor 59 that executes S19 is an example of the first estimated temperature distribution acquisition unit 61. Next, the processor 59 executes a display control process for controlling the display device 8 (S21). The processor 59 that executes S21 is an example of the display control unit 70 (the details of S21 will be described later).

[0067] Next, the processor 59 determines whether there is an abnormality in the rotating electric machine 1 based on a comparison result between the actual temperature indicated by the actual temperature distribution data Dr acquired in S13 and the estimated temperature indicated by the estimated temperature distribution data Dsp at the time of photography acquired in S19 (S23). The processor 59 that executes S23 is an example of the abnormality determination unit 55. If it is determined that there is an abnormality in the rotating electric machine 1 (S23: YES), the processor 59 issues a warning, for example, by displaying an alert on the display device 8 (S25). When executing S25, the processor 59 may further execute a process for stopping the rotating electric machine 1 that is in operation. After executing S25, this flowchart ends.

[0068] On the other hand, if it is determined that there is no abnormality in the rotating electric machine 1 (S23: NO), the processor 59 determines whether the flag stored in the memory 58 is "0" (S27). If the flag was overwritten to "1" in S17 (S27: NO), the processor 59 sets the operating parameters P acquired in S11 as the operating parameters Psp during previous imaging, sets the actual temperature distribution data Dr acquired in S13 as the past actual temperature distribution data Drp, and generates a data set Dt (S29). The processor 59 that executes S29 is an example of the data set generator 53. Furthermore, the processor 59 adds the generated data set Dt to the database DB stored in the memory 58 (S31). The processor 59 that executes S31 is an example of the storage controller 56. Thereafter, the processor 59 overwrites the flag with "0" (S33) and returns the process to S10.

[0069] As the above-described steps S15 and S17 to S33 are repeated, the data sets Dt stored in the database DB are accumulated, and eventually a positive determination is made in S15 (S15: YES). In this case, the processor 59 acquires the past actual temperature distribution data Drp included in a specific data set Dt stored in the data set Dt as the estimated temperature distribution data Dsp at the time of photography (S35). The processor 59 that executes S35 is an example of the second estimated temperature distribution acquisition unit 62.

[0070] After S35 is executed, the process proceeds to S21. In S23, it is determined whether or not there is an abnormality in the rotating electric machine 1 based on the comparison result between the actual temperature indicated by the actual temperature distribution data Dr acquired in S13 and the estimated temperature indicated by the estimated temperature distribution data Dsp at the time of photography acquired in S35. If it is determined that there is no abnormality (S23: NO), the flag is "0" (S27: YES), so the processor 59 skips S29 to S33 and returns the process to S10.

[0071] The display control process (S21) of FIG. 10 will be described in detail with reference to FIG. 12. The processor 59 transmits display data Dd for displaying the actual temperature distribution data Dr acquired in S13 and the estimated temperature distribution data Dsp at the time of shooting acquired in S19 or S35 as an image to the display device 8 (S51). Explaining S51 in more detail, the processor 59 transmits the display data Dd to the display device 8 for displaying the actual temperature distribution image 21 and the estimated temperature distribution image 22 on the display device 8. The processor 59 that executes S51 is an example of the actual image display control unit 71 and the estimated image display control unit 72.

[0072] Next, the processor 59 receives partial area designation data Di that designates an actual image partial area 21a that constitutes a part of the actual temperature distribution image 21 (S51). At this time, an estimated image partial area of ​​the estimated temperature distribution image 22 is also specified. The processor 59 that executes S51 is an example of the partial area receiving unit 76.

[0073] Next, the processor 59 partially applies gradation reduction processing to the actual temperature distribution image 21 while avoiding the actual image partial region 21a, and further partially applies gradation reduction processing to the estimated temperature distribution image 22 while avoiding the estimated image partial region (not shown) (S55). The processor 59 that executes S55 is an example of the gradation reduction processing unit 75. Thereafter, the processor 59 causes the display device 8 to display the actual temperature distribution image 21A that has been subjected to the gradation reduction processing and the estimated temperature distribution image (not shown) that has been subjected to the gradation reduction processing (S57), and the process returns to the flowchart of FIG. 10 .

[0074] 10 to 12 may be executed by an operator instead of the processor 59. For example, in the determination process of S23, if the display device 8 displays the actual temperature distribution image 21 and the estimated temperature distribution image 22, the operator can visually determine whether there is an abnormality in the rotating electric machine 1 by comparing the two images.

[0075] <Others> The above-described processor 59 is realized by a CPU, GPU, MPU, DSP, or a combination thereof. The processor 59 according to other embodiments may be realized by an integrated circuit such as a PLD, ASIC, FPGA, or MCU. The above-described memory 58 is configured to temporarily or non-temporarily store various data, and is realized by at least one of a RAM, a ROM, and a flash memory, for example. The processor 59 executes various arithmetic processes according to instructions from a program loaded into the memory 58.

[0076] At least a part of the configuration of the monitoring device 50 shown in FIG. 7 may be incorporated into the monitoring device 50 shown in FIG.

[0077] <Summary> The contents described in the above-described embodiments can be understood, for example, as follows.

[0078] 1) A monitoring device (50) according to at least one embodiment of the present disclosure is a monitoring device for monitoring a rotating electric machine (1) having a stator frame (4) that houses a rotor (6) and a stator (2), and includes: an actual temperature distribution acquisition unit (51) for acquiring actual temperature distribution data (Dr) that indicates the distribution of actual temperatures within the stator frame through imaging by an infrared camera (11) arranged within the stator frame; an estimated temperature distribution acquisition unit (52) for acquiring estimated temperature distribution data (Dsp) at the time of imaging that indicates the distribution of estimated temperatures within the stator frame that corresponds to operating parameters (Ps) at the time of imaging that are operating parameters of the rotating electric machine at the time of imaging by the infrared camera; and an abnormality determination unit (55) for determining whether or not there is an abnormality in the rotating electric machine based on a comparison result between the actual temperature indicated by the actual temperature distribution data and the estimated temperature indicated by the estimated temperature distribution data at the time of imaging.

[0079] According to the configuration of 1) above, if the deviation value between the actual temperature and the estimated temperature is large, the abnormality determination unit can determine that there is an abnormality in the rotating electric machine. Because whether there is an abnormality in the rotating electric machine is determined based on the temperature, it is possible to detect signs of the abnormality before the abnormality that would be visually confirmed using a visible light camera or the like actually occurs. Thus, a monitoring device that can detect abnormalities in a rotating electric machine at an early stage is realized.

[0080] 2) In some embodiments, in the monitoring device described in 1) above, the estimated temperature distribution acquisition unit includes a first estimated temperature distribution acquisition unit (61) for acquiring the estimated temperature distribution data at the time of imaging by inputting the operation parameters at the time of imaging into a physical model (Pm) configured to output estimated temperature distribution data (Dp) indicating the distribution of the estimated temperature within the stator frame when the operation parameters are input.

[0081] According to the configuration 2) above, the operating parameters at the time of imaging are input into the physical model, thereby obtaining estimated temperature distribution data at the time of imaging. This allows the abnormality determination unit to determine whether there is an abnormality in the rotating electric machine without using data indicating actual temperature distributions in the past. Therefore, even when the rotating electric machine is operated at an operating point that has never been used before, the abnormality determination unit can determine whether there is an abnormality in the rotating electric machine.

[0082] 3) In some embodiments, in the monitoring device described in 1) or 2) above, the estimated temperature distribution acquisition unit includes: a performance determination unit (63) for determining whether a data set (Dt) that associates past actual temperature distribution data (Drp) indicating the actual temperature distribution in the stator frame at the time of past imaging with past imaging-time operating parameters (Psp) that are the operating parameters when the past actual temperature distribution data was acquired includes the past imaging-time operating parameters that can be considered to be the same as the imaging-time operating parameters; and a second estimated temperature distribution acquisition unit (62) for acquiring, when the performance determination unit determines that the past imaging-time operating parameters are included in the data set, the past actual temperature distribution data associated with the past imaging-time operating parameters that can be considered to be the same as the imaging-time estimated temperature distribution data.

[0083] According to the configuration 3), the anomaly determination unit can use the temperature distribution indicated by the past actual temperature distribution data acquired by the second estimated temperature distribution acquisition unit to compare with the actual temperature. Since the past actual temperature distribution data is data based on the past operating performance of the rotating electric machine, treating the past actual temperature distribution data as estimated temperature distribution data at the time of imaging can increase the reliability of the estimated temperature, and the anomaly determination unit can accurately determine whether an anomaly exists.

[0084] 4) In some embodiments, the monitoring device described in 3) above, wherein the estimated temperature distribution acquisition unit includes a first estimated temperature distribution acquisition unit (61) for acquiring the estimated temperature distribution data at the time of imaging by inputting the operating parameters at the time of imaging into a physical model configured to output estimated temperature distribution data indicating a distribution of the estimated temperature within the stator frame when the operating parameters are input, and the monitoring device further includes: a dataset generation unit (53) that, when the abnormality determination unit determines that there is no abnormality based on the comparison result between the actual temperature indicated by the actual temperature distribution data and the estimated temperature indicated by the estimated temperature distribution data at the time of imaging acquired by the first estimated temperature distribution acquisition unit, generates the dataset that associates the operating parameters at the time of imaging, which are the operating parameters at the time of imaging corresponding to the estimated temperature distribution data at the time of imaging used for the comparison, with the past actual temperature distribution data, which is the actual temperature distribution data used for the comparison; and a storage control unit (56) that stores the generated dataset in a memory (58).

[0085] According to the configuration 4) above, the past actual temperature distribution data included in the data set is the actual temperature distribution data when the anomaly determination unit previously determined that the rotating electric machine was normal. This increases the reliability of the data set stored in the memory, and increases the reliability of the estimated temperatures of the past actual temperature distribution data acquired by the second estimated temperature distribution acquisition unit. Therefore, the anomaly determination unit can accurately determine whether an anomaly exists based on the comparison result between the estimated temperatures indicated by the past actual temperature distribution data acquired by the second estimated temperature distribution acquisition unit and the actual temperatures.

[0086] 5) In some embodiments, the monitoring device described in any one of 1) to 4) above further includes a display control unit (70) for sending display data (Dd) to a display device (8) for displaying the actual temperature distribution data and the estimated temperature distribution data at the time of shooting as images, respectively.

[0087] According to the above configuration 5), the operator of the monitoring device can visually check the actual temperature distribution in the stator frame and the estimated temperature distribution in the stator frame through the display device.

[0088] 6) In some embodiments, in the monitoring device described in 5) above, the display control unit further includes: an actual image display control unit (71) for causing the display device to display an actual temperature distribution image (21) obtained by superimposing the actual temperature distribution indicated by the actual temperature distribution data on a captured image obtained through imaging by a visible light camera (12) arranged in the stator frame; and an estimated image display control unit (72) for causing the display device to display an estimated temperature distribution image (22) obtained by superimposing the estimated temperature distribution indicated by the estimated temperature distribution data at the time of imaging on the captured image.

[0089] According to the configuration of 6) above, the display device displays an actual temperature distribution image in which the actual temperature distribution is superimposed on an actual photographed image of the stator frame, and an estimated temperature distribution image in which the estimated temperature distribution is superimposed on the photographed image, thereby enabling the operator to more intuitively understand the actual temperature distribution and the estimated temperature distribution.

[0090] 7) In some embodiments, the monitoring device is described in any one of 1) to 6) above, wherein the actual temperature distribution data and the estimated temperature distribution data at the time of shooting are both image data, and the monitoring device further comprises a gradation reduction processing unit (75) for performing gradation reduction processing to reduce gradation values ​​on each of the actual temperature distribution data and the estimated temperature distribution data at the time of shooting.

[0091] According to the configuration 7) above, the data size of the actual temperature distribution data and the temperature distribution data estimated at the time of shooting can be reduced by the gradation reduction process, so that the determination process executed by the abnormality determination unit can be simplified.

[0092] 8) In some embodiments, the monitoring device described in 7) above further includes a partial area receiving unit (76) for receiving partial area designation data (Di) for designating an actual image partial area (21 a) constituting a part of an image (actual temperature distribution image 21) indicated by the actual temperature distribution data, and the gradation reduction processing unit is configured to partially apply gradation reduction processing to the actual temperature distribution data while avoiding the actual image partial area, and to partially apply gradation reduction processing to the estimated temperature distribution data at the time of shooting while avoiding an estimated image distribution area corresponding to the actual image partial area in the image (estimated temperature distribution image 22) indicated by the estimated temperature distribution data at the time of shooting.

[0093] According to the configuration of 8) above, image regions that are important when determining whether or not there is an abnormality can be designated as actual image partial regions and estimated image partial regions. In other words, the operator can designate regions that should be of particular interest when determining whether or not there is an abnormality in the rotating electric machine, and gradation reduction processing of those regions can be avoided. Since the data size of the regions that should be of particular interest is maintained, the abnormality determination unit can accurately determine whether or not there is an abnormality.

[0094] 9) In some embodiments, in the monitoring device described in any one of 1) to 8) above, the object (18) to be photographed by the infrared camera includes at least one of the coil end (3a) of the stator coil (3) wound around the stator, the lead-out portion (3b) of the stator coil, the end (5a) of the stator core (5) of the stator in the axial direction of the rotating electric machine, the end (6c) of the rotor core (6a) of the rotor in the axial direction, or the outer periphery (6d) of the rotor core.

[0095] According to the configuration of 9) above, the object to be photographed includes components that tend to become relatively hot during operation of the rotating electric machine. In other words, components that are at high risk of abnormalities occurring are included in the object to be photographed, which reduces the risk of missing an abnormality in the rotating electric machine.

[0096] 10) A monitoring system (10) according to at least one embodiment of the present disclosure comprises: a monitoring device (50) according to any one of 1) to 9) above; and the infrared camera (11).

[0097] The configuration 10) above provides the same technical advantages as the configuration 1).

[0098] The infrared camera further includes an infrared camera rail (31) for movably supporting the infrared camera (11).

[0099] According to the configuration of 11) above, the imaging range of the infrared camera can be widened, so that a wide range of the inside of the stator frame can be monitored.

[0100] 12) A monitoring method according to at least one embodiment of the present disclosure is a monitoring method for monitoring a rotating electric machine (1) having a stator frame (4) that houses a rotor (6) and a stator (2), and includes: an actual temperature distribution acquisition step (S13) for acquiring actual temperature distribution data (Dr) that indicates an actual temperature distribution within the stator frame through imaging by an infrared camera (11) arranged within the stator frame; an estimated temperature distribution acquisition step (S19, S35) for acquiring estimated temperature distribution data (Dsp) at the time of imaging that indicates an estimated temperature distribution within the stator frame corresponding to operating parameters (Ps) at the time of imaging, which are operating parameters (P) of the rotating electric machine at the time of imaging by the infrared camera; and an abnormality determination step (S23) for determining whether or not there is an abnormality in the rotating electric machine based on a comparison result between the actual temperature indicated by the actual temperature distribution data and the estimated temperature indicated by the estimated temperature distribution data at the time of imaging.

[0101] The configuration 12) above provides the same technical advantages as the configuration 1).

[0102] DESCRIPTION OF SYMBOLS 1: Rotating electric machine 2: Stator 3: Stator coil 3a: Coil end 3b: Lead portion 4: Stator frame 5: Stator core 5a: End portion 6: Rotor 6a: Rotor core 6b: Rotor coil 6c: End portion 6d: Outer periphery 7: Rotor shaft 7C: Axis 8: Display device 9: Input receiving device 10: Monitoring system 11: Infrared camera 12: Visible light camera 18: Object to be photographed 21: Actual temperature distribution image 21A: Actual temperature distribution image 21a: Actual image partial area 22: Estimated temperature distribution image 31: Infrared camera rail 32: Visible light camera rail 50: Monitoring device 51: Actual temperature distribution acquisition unit 52: Estimated temperature distribution acquisition unit 53: Data set generation unit 54: Operation parameter acquisition unit 55: Abnormality determination unit 56: Storage control unit 58: Memory 59: Processor 61: First estimated temperature distribution acquisition unit 62: Second estimated temperature distribution acquisition unit 63: Performance determination unit 70: Display control unit 71: Actual image display control unit 72: Estimated image display control unit 75: Gradation reduction processing unit 76: Partial region reception unit 99: Measuring instrument B1, B2: Bearing Dd: Display data Di: Partial region designation data Dp: Estimated temperature distribution data Dr: Actual temperature distribution data Drp: Past actual temperature distribution data Ds: Estimated temperature distribution data Dsp: Estimated temperature distribution data at the time of shooting Dt: Data set Im: Photographed image data P: Driving parameters Pm: Physical model Ps: Driving parameters at the time of shooting Psp: Driving parameters at the time of past shooting R, S: Region r, s: Partial region

Claims

1. A monitoring device for monitoring a rotating electric machine having a stator frame that houses a rotor and a stator, comprising: an actual temperature distribution acquisition unit for acquiring actual temperature distribution data indicating the actual temperature distribution within the stator frame through imaging by an infrared camera arranged within the stator frame; an estimated temperature distribution acquisition unit for acquiring estimated temperature distribution data at the time of imaging that indicates the distribution of estimated temperatures within the stator frame corresponding to operating parameters at the time of imaging, which are operating parameters of the rotating electric machine at the time of imaging by the infrared camera; and an abnormality determination unit for determining whether or not there is an abnormality in the rotating electric machine based on a comparison result between the actual temperature indicated by the actual temperature distribution data and the estimated temperature indicated by the estimated temperature distribution data at the time of imaging.

2. The monitoring device described in claim 1, wherein the estimated temperature distribution acquisition unit includes a first estimated temperature distribution acquisition unit for acquiring the estimated temperature distribution data at the time of shooting by inputting the operating parameters at the time of shooting into a physical model configured to output estimated temperature distribution data indicating the distribution of the estimated temperature within the stator frame when the operating parameters are input.

3. The monitoring device of claim 1 or 2, wherein the estimated temperature distribution acquisition unit includes: a performance determination unit for determining whether a data set that associates past actual temperature distribution data indicating the distribution of actual temperatures within the stator frame at the time of past photographing with past photographing operating parameters that are the operating parameters when the past actual temperature distribution data was acquired includes the past photographing operating parameters that can be considered to be the same as the photographing operating parameters; and a second estimated temperature distribution acquisition unit for acquiring the past actual temperature distribution data associated with the past photographing operating parameters that can be considered to be the same as the photographing estimated temperature distribution data when the performance determination unit determines that the past photographing operating parameters are included in the data set.

4. The estimated temperature distribution acquisition unit includes a first estimated temperature distribution acquisition unit for acquiring the estimated temperature distribution data at the time of shooting by inputting the operating parameters at the time of shooting into a physical model configured to output estimated temperature distribution data indicating a distribution of the estimated temperature within the stator frame when the operating parameters are input, and the monitoring device further includes a dataset generation unit for generating the dataset that associates the operating parameters at the time of shooting, which are the operating parameters at the time of shooting corresponding to the estimated temperature distribution data at the time of shooting used in the comparison, with the past actual temperature distribution data, which is the actual temperature distribution data used in the comparison, when the abnormality determination unit determines that there is no abnormality based on the comparison result between the actual temperature indicated by the actual temperature distribution data and the estimated temperature indicated by the estimated temperature distribution data at the time of shooting acquired by the first estimated temperature distribution acquisition unit, and a storage control unit for storing the generated dataset in memory.

5. The monitoring device according to claim 1 or 2, further comprising a display control unit for sending display data for displaying the actual temperature distribution data and the estimated temperature distribution data at the time of shooting as images to a display device.

6. The monitoring device described in claim 5, further comprising: an actual image display control unit for causing the display device to display an actual temperature distribution image obtained by superimposing the actual temperature distribution indicated by the actual temperature distribution data on a captured image obtained through shooting by a visible light camera arranged within the stator frame; and an estimated image display control unit for causing the display device to display an estimated temperature distribution image obtained by superimposing the estimated temperature distribution indicated by the estimated temperature distribution data at the time of shooting on the captured image.

7. A monitoring device as described in claim 1 or 2, wherein the actual temperature distribution data and the estimated temperature distribution data at the time of shooting are both image data, and the monitoring device further comprises a gradation reduction processing unit for performing a gradation reduction process to reduce gradation values ​​on each of the actual temperature distribution data and the estimated temperature distribution data at the time of shooting.

8. The monitoring device according to claim 7, further comprising a partial area receiving unit for receiving partial area designation data for designating an actual image partial area constituting a part of an image indicated by the actual temperature distribution data, wherein the gradation reduction processing unit is configured to partially apply gradation reduction processing to the actual temperature distribution data while avoiding the actual image partial area, and to partially apply gradation reduction processing to the estimated temperature distribution data at the time of shooting while avoiding an estimated image distribution area of ​​the image indicated by the estimated temperature distribution data at the time of shooting that corresponds to the actual image partial area.

9. A monitoring device as described in claim 1 or 2, wherein the object to be photographed by the infrared camera includes at least one of the coil ends of the stator coil wound around the stator, the outlet portion of the stator coil, the end of the stator core of the stator in the axial direction of the rotating electric machine, the end of the rotor core of the rotor in the axial direction, or the outer periphery of the rotor core.

10. A monitoring system comprising the monitoring device according to claim 1 or 2 and the infrared camera.

11. The surveillance system according to claim 10, further comprising an infrared camera rail for movably supporting the infrared camera.

12. A monitoring method for monitoring a rotating electric machine having a stator frame that houses a rotor and a stator, comprising: an actual temperature distribution acquisition step for acquiring actual temperature distribution data indicating an actual temperature distribution within the stator frame through imaging by an infrared camera arranged within the stator frame; an estimated temperature distribution acquisition step for acquiring estimated temperature distribution data at the time of imaging that indicates an estimated temperature distribution within the stator frame corresponding to operating parameters at the time of imaging, which are operating parameters of the rotating electric machine at the time of imaging by the infrared camera; and an abnormality determination step for determining whether or not there is an abnormality in the rotating electric machine based on a comparison result between the actual temperature indicated by the actual temperature distribution data and the estimated temperature indicated by the estimated temperature distribution data at the time of imaging.

Images