Anomaly detection system and method for wind power generation equipment
The anomaly diagnosis system for wind power generation equipment addresses generator bearing issues by analyzing temperature data to optimize operations and maintenance, preventing damage and failure, and ensuring safety.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- J-WIND E SOLUTIONS CO LTD
- Filing Date
- 2022-11-29
- Publication Date
- 2026-06-05
AI Technical Summary
Existing methods for diagnosing abnormalities in generator bearings of wind power generation equipment do not effectively address factors like lubricant shortage, cooling fan failure, and bearing deterioration, leading to decreased operating rates and potential equipment failure.
An anomaly diagnosis system that acquires and analyzes generator winding and bearing temperatures, along with nacelle temperatures, to identify specific states of the generator bearings, allowing for appropriate operational modes and timely maintenance to prevent damage and failure.
The system accurately diagnoses generator bearing abnormalities, optimizing operations to prevent damage, reducing unnecessary shutdowns, and ensuring public safety by implementing targeted maintenance and operational adjustments.
Smart Images

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Abstract
Description
Technical Field
[0001] The present disclosure relates to an abnormal diagnosis system and an abnormal diagnosis method for wind power generation equipment.
Background Art
[0002] Patent Document 1 describes determining an abnormality of a generator bearing of wind power generation equipment based on the temperature of the generator bearing that supports the rotating shaft of the generator, the vibration information of the generator bearing, and a deviation index value calculated using the air temperature as characteristic items.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] By the way, there are various factors for an abnormality of a generator bearing of wind power generation equipment, such as deterioration of the generator bearing, shortage of lubricant, and failure of an internal cooling fan of the generator. Therefore, by diagnosing the state of the generator bearing more specifically, it becomes possible to operate in an appropriate operation mode capable of suppressing deterioration and failure according to the diagnosis result, and to repair an appropriate part at an appropriate timing, thereby suppressing a decrease in the operating rate of the wind power generation equipment. In this regard, Patent Document 1 does not disclose a specific method for suppressing a decrease in the operating rate of wind power generation equipment.
[0005] In view of the above circumstances, at least one embodiment of the present disclosure aims to provide an abnormal diagnosis system and an abnormal diagnosis method for a wind power generation device capable of suppressing a decrease in the operating rate of the wind power generation equipment.
Means for Solving the Problems
[0006] To achieve the above objectives, the abnormality diagnosis system for wind power generation equipment according to at least one embodiment of this disclosure is: An anomaly diagnosis system for wind power generation equipment, for diagnosing abnormalities in wind power generation equipment, A measurement data acquisition unit configured to acquire the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis unit is configured to perform an abnormality diagnosis of the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature acquired by the measurement data acquisition unit, It is equipped with.
[0007] To achieve the above objective, the method for diagnosing abnormalities in wind power generation equipment according to at least one embodiment of this disclosure is: A measurement data acquisition step involves acquiring the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis step is performed to diagnose an abnormality in the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature obtained in the measurement data acquisition step, It is equipped with. [Effects of the Invention]
[0008] According to at least one embodiment of this disclosure, an abnormality diagnosis system and an abnormality diagnosis method for a wind power generation system are provided that can suppress a decrease in the operating rate of the wind power generation system. [Brief explanation of the drawing]
[0009] [Figure 1] This figure illustrates an example of the configuration of the wind power generation equipment 1, which is the target of abnormality diagnosis by the abnormality diagnosis system 40 of this disclosure. [Figure 2] This figure shows an example of the hardware configuration of the anomaly diagnosis system 40 shown in Figure 1. [Figure 3] Figure 2 is a block diagram illustrating the functional configuration of the anomaly diagnosis system 40. [Figure 4]Figures 2 and 3 show a portion of the abnormality diagnosis flow performed by the abnormality diagnosis system 40. [Figure 5] This figure shows a continuation of the abnormality diagnosis flow shown in Figure 4. [Figure 6] This figure shows a continuation of the abnormality diagnosis flow shown in Figure 5. [Figure 7] This figure shows correlation information R1, which indicates the correlation between the generator winding temperature Tw and the generator bearing temperature threshold Tbth1. [Figure 8] This figure shows correlation information R2, which indicates the correlation between the nacelle temperature Tn and the generator bearing temperature threshold Tbth2. [Figure 9] This figure shows an example of the relationship between wind speed and target output for both the normal operation mode and the output suppression mode. [Modes for carrying out the invention]
[0010] Hereinafter, several embodiments of this disclosure will be described with reference to the attached drawings. However, the dimensions, materials, shapes, relative arrangements, etc., of the components described or shown in the drawings as embodiments are not intended to limit the scope of the invention, but are merely illustrative examples. For example, expressions describing relative or absolute arrangements such as "in a certain direction," "along a certain direction," "parallel," "orthogonal," "center," "concentric," or "coaxial" should not only strictly describe such arrangements, but also describe states of relative displacement with tolerances or angles or distances that allow for the same function to be achieved. For example, expressions such as "identical," "equal," and "homogeneous" that describe things being in an equal state not only describe a state of being strictly equal, but also describe a state in which there is a tolerance or a difference that is sufficient to achieve the same function. For example, expressions describing shapes such as squares or cylinders shall not only represent geometrically precise shapes such as squares or cylinders, but also shapes that include protrusions, chamfers, etc., to the extent that the same effect can be achieved. On the one hand, the expressions "comprising", "including", "having", or "containing" with regard to a component do not exclude the presence of other components.
[0011] FIG. 1 is a diagram for explaining an example of the configuration of the wind power generation facility 1 that is the object of abnormal diagnosis by the abnormal diagnosis system 40 of the present disclosure. As shown in FIG. 1, the wind power generation facility 1 includes a support column 2 erected on a foundation or the like, a nacelle 3 installed at the upper end of the support column 2, and a windmill rotor 4 rotatably provided on one end side of the nacelle 3. The windmill rotor 4 includes a rotor head 5 and a plurality of windmill blades 6 radially attached to the rotor head 5.
[0012] Inside the nacelle 3, a generator 11 connected to the windmill rotor 4 via a speed increaser 10 is installed. By transmitting the rotation of the windmill rotor 4 to the generator 11 via the speed increaser 10 to drive the generator 11, electric power is output from the generator 11. The generator 11 includes a stator 12, a rotor 13, a generator bearing 14 that pivotally supports the rotor 13, and a cooling fan 15 for cooling the inside of the generator 11. In the illustrated configuration, the generator bearing 14 is provided on each of the load side and the non-load side of the generator 11.
[0013] Note that the abnormal diagnosis system 40 of the present disclosure is applicable to the abnormal diagnosis of each of the generator bearings 14 on the load side of the generator 11 and the generator bearings 14 on the non-load side of the generator 11, but the methods for the abnormal diagnosis of each of the generator bearings 14 on the load side of the generator 11 and the generator bearings 14 on the non-load side of the generator 11 are the same. For this reason, hereinafter, in order to avoid redundant description, unless otherwise specified, the generator bearing 14 on the load side of the generator 11 and the generator bearing 14 on the non-load side of the generator 11 are simply referred to as the generator bearing 14 without distinction. Hereinafter, the "generator bearing 14" may be consistently interpreted as the generator bearing 14 on the load side of the generator 11 or may be consistently interpreted as the generator bearing 14 on the non-load side of the generator 11.
[0014] The wind power generation facility 1 includes a first temperature sensor 7 that measures the generator winding temperature Tw, which is the temperature of the windings of the generator 11, a second temperature sensor 8 that measures the generator bearing temperature Tb, which is the temperature of the generator bearing 14, and a third temperature sensor 9 that measures the nacelle temperature Tn, which is the temperature of the internal space of the nacelle 3. The first temperature sensor 7 measures, for example, the temperature of the windings constituting the stator 12 of the generator 11 as the generator winding temperature Tw.
[0015] At an appropriate location of the wind power generation facility 1 (for example, inside the nacelle 3 or inside the support column 2, etc.), a control device 20 for performing various operation controls of the wind power generation facility 1 is provided. Signals indicating the generator winding temperature Tw measured by the first temperature sensor 7, the generator bearing temperature Tb measured by the second temperature sensor 8, the nacelle temperature Tn measured by the third temperature sensor 9, etc. are input to the control device 20.
[0016] The control device 20 is configured to be communicable with the abnormality diagnosis system 40 via the communication network 21. The control device 20 transmits various measurement data measured in the wind power generation facility 1, such as the generator winding temperature Tw measured by the first temperature sensor 7, the generator bearing temperature Tb measured by the second temperature sensor 8, and the nacelle temperature Tn measured by the third temperature sensor 9, to the abnormality diagnosis system 40. The abnormality diagnosis system 40 stores the various measurement data transmitted from the control device 20 as time-series data and continuously monitors it, and uses it for the abnormality diagnosis of the wind power generation facility 1 as described later.
[0017] FIG. 2 is a diagram showing an example of the hardware configuration of the abnormality diagnosis system 40 shown in FIG. 1. FIG. 3 is a block diagram for explaining the functional configuration of the abnormality diagnosis system 40 shown in FIG. 2.
[0018] As shown in Figure 2, the anomaly diagnosis system 40 is configured using a computer that includes, for example, a processor 72, RAM (Random Access Memory) 74, ROM (Read Only Memory) 76, HDD (Hard Disk Drive) 78, input I / F 80, output I / F 82, and display 83, all of which are connected to each other via a bus 84. The hardware configuration of the anomaly diagnosis system 40 is not limited to the above and may be configured with a combination of control circuits and storage devices. Furthermore, the anomaly diagnosis system 40 is configured by a computer executing programs that realize each function of the anomaly diagnosis system 40. The functions of each part of the anomaly diagnosis system 40 described below are realized, for example, by loading a program held in ROM 76 into RAM 74 and executing it with the processor 72, as well as by reading and writing data to RAM 74 and ROM 76. The hardware constituting the anomaly diagnosis system 40 may be centralized in one location or distributed across multiple locations. The following describes an example in which the abnormality diagnosis system 40 is located away from the wind power generation equipment 1 and abnormality diagnoses of the wind power generation equipment 1 are performed remotely. However, each function of the abnormality diagnosis system 40 may be implemented, for example, by the control device 20 provided by the wind power generation equipment 1.
[0019] As shown in Figure 3, the anomaly diagnosis system 40 includes a measurement data acquisition unit 42, an anomaly diagnosis unit 46, and a storage unit 50. The functions of each part of the anomaly diagnosis system 40 will be explained below using Figures 4 to 6, etc.
[0020] Figure 4 shows a portion of the abnormality diagnosis flow by the abnormality diagnosis system 40 shown in Figures 2 and 3. Figure 5 shows a portion of the continuation of the abnormality diagnosis flow shown in Figure 4. Figure 6 shows a portion of the continuation of the abnormality diagnosis flow shown in Figure 5.
[0021] As shown in Figure 4, in S101, the measurement data acquisition unit 42 acquires and monitors the generator winding temperature Tw measured by the first temperature sensor 7 during the generator 11's power generation, the generator bearing temperature Tb measured by the second temperature sensor 8 during the generator 11's power generation, and the nacelle temperature Tn measured by the third temperature sensor 9 during the generator 11's power generation from the control device 20 via the communication network 21.
[0022] In S102, the abnormality diagnosis unit 46 refers to correlation information R1 (see Figure 7), which shows the correlation between the generator winding temperature Tw and the generator bearing temperature threshold Tbth1, and identifies the threshold Tbth1, which is determined according to the generator winding temperature Tw acquired in S101, from the correlation information R1. In the example shown in Figure 7, the correlation information R1 shows that the threshold Tbth1 increases as the generator winding temperature Tw increases. This correlation information R1 is stored, for example, in the storage unit 50, and is read from the storage unit 50 in S102 to identify the threshold Tbth1 corresponding to the generator winding temperature Tw acquired in S101.
[0023] The correlation information R1 may be determined based on, for example, past data of generator winding temperature and generator bearing temperature obtained from wind power generation equipment of the same model as wind power generation equipment 1 for multiple wind farms, and the history of generator malfunctions in the wind power generation equipment. For example, for past generator winding temperature and generator bearing temperature in wind power generation equipment of the same model as wind power generation equipment 1, average data over a certain period of time (e.g., 10 minutes) while the generator 11 is generating power may be collected and plotted on a graph (see Figure 7), an approximate formula for the relationship between the plotted generator winding temperature and generator bearing temperature (in the example shown in Figure 7, a linear approximation formula: Tb = a1 × Tw + b1) may be calculated, and the value obtained by shifting the calculated approximation formula by a predetermined temperature (e.g., about 20°C) in the positive direction of the generator bearing temperature may be used as the threshold Tbth1 (= a1 × Tw + c1). In each formula, a1 is the slope of the line, and b1 and c1 are the intercepts of the line.
[0024] In S103, the abnormality diagnosis unit 46 compares the generator bearing temperature Tb obtained in S101 with the threshold Tbth1 identified in S102. If, in S103, the generator bearing temperature Tb obtained in S101 does not exceed the threshold Tbth1 identified in S102, then in S104, the abnormality diagnosis unit 46 determines the state of the wind power generation equipment 1 to be state X as described below. State X means that the wind power generation equipment 1 is in a normal state and there is no abnormality in the generator bearing 14. If the abnormality diagnosis unit 46 determines the state of the wind power generation equipment 1 to be state X, it operates the wind power generation equipment 1 in normal operation mode. That is, if the abnormality diagnosis unit 46 determines the state of the wind power generation equipment 1 to be state X, it transmits a normal operation mode instruction signal to the control device 20 via the communication network 21 to instruct the control device 20 to operate the wind power generation equipment 1 in normal operation mode. If the control device 20 receives the normal operation mode instruction signal, it operates the wind power generation equipment 1 in normal operation mode.
[0025] In S103, if the generator bearing temperature Tb obtained in S101 exceeds the threshold Tbth1 identified in S102, the process proceeds to S105. As shown in Figure 5, in S105, the abnormality diagnosis unit 46 determines whether the generator winding temperature Tw obtained in S101 exceeds the threshold Twth (see Figure 7). The threshold Twth is set based on the upper limit of the allowable temperature for the generator winding temperature, and may be, for example, 95% of the upper limit.
[0026] In S105, if the generator winding temperature Tw obtained in S101 is determined to exceed the threshold Twth, then in S106, the abnormality diagnosis unit 46 determines the state of the wind power generation equipment 1 to be state E as described below. State E means that the cooling performance of the generator 11 has deteriorated due to a failure of the cooling fan 15 or the like. If no measures are taken to address the deterioration in cooling performance in state E, the windings of the stator 12 may be damaged.
[0027] Therefore, in S106, if the abnormality diagnosis unit 46 determines that the state of the wind power generation equipment 1 is state E, it operates the wind power generation equipment 1 in an output suppression mode that suppresses the output of the generator 11 more than in the normal operation mode. That is, if the abnormality diagnosis unit 46 determines that the state of the wind power generation equipment 1 is state E, it transmits an output suppression mode instruction signal to the control device 20 via the communication network 21 to instruct the control device 20 to operate the wind power generation equipment 1 in output suppression mode. When the control device 20 receives the output suppression mode instruction signal, it operates the wind power generation equipment 1 in output suppression mode. For example, as shown in Figure 9, the control device 20 may suppress the output of the generator 11 more than in the normal operation mode by making the target output of the generator 11, which is determined according to the wind speed, smaller than in the normal operation mode. In the example shown in Figure 9, the control device 20 suppresses the output of the generator 11 to a range of approximately 80% to 99% of the rated output, and the target output of the generator 11 is set to a constant value.
[0028] In S105, if it is determined that the generator winding temperature Tw obtained in S101 does not exceed the threshold Twth, then in S107, the abnormality diagnosis unit 46 refers to correlation information R2 (see Figure 8), which shows the correlation between the nacelle temperature Tn and the threshold Tbth2 of the generator bearing temperature Tb, and identifies the threshold Tbth2, which is determined according to the nacelle temperature Tn obtained in S101, from the correlation information R2. Then, it is determined whether or not the generator bearing temperature Tb obtained in S101 exceeds the threshold Tbth2 identified from the correlation information R2.
[0029] In the example shown in Figure 8, the correlation information R2 indicates that the threshold Tbth2 increases as the nacelle temperature Tn increases. This correlation information R2 is stored, for example, in the storage unit 50, and is read from the storage unit 50 in S107 to identify the threshold Tbth2 corresponding to the nacelle temperature Tn acquired in S101. Furthermore, the correlation information R2 may be determined, for example, based on past data of nacelle temperature and generator bearing temperature obtained from wind power generation equipment of the same model as wind power generation equipment 1 for multiple wind farms, and the history of generator malfunctions in the wind power generation equipment. For example, for wind power generation equipment of the same model as wind power generation equipment 1, average data for past nacelle temperature and generator bearing temperature over a certain period of time (e.g., 10 minutes) while generator 11 is generating power can be collected and plotted on a graph (see Figure 8). An approximate equation for the relationship between the plotted nacelle temperature and generator bearing temperature (in the example shown in Figure 8, a linear approximation: Tb = a² × Tn + b²) can be calculated, and the threshold equation Tbth2 (= a² × Tn + c²) can be obtained by shifting the calculated approximation equation in the positive direction of the generator bearing temperature by a predetermined temperature (e.g., about 40°C). In each equation, a² is the slope of the line, and b² and c² are the intercepts of the line.
[0030] In S107, if the abnormality diagnosis unit 46 determines that the generator bearing temperature Tb obtained in S101 does not exceed the threshold Tbth2 identified from the correlation information R2, then in S108, the abnormality diagnosis unit 46 determines the state of the wind power generation equipment 1 to be state A as described below. State A means that immediately after lubricant (e.g., grease) is supplied to the generator bearing 14, the temperature of the generator bearing 14 is temporarily high due to the heat generated by stirring the lubricant, and the generator 11 is in a normal state. Therefore, in S108, if the abnormality diagnosis unit 46 determines the state of the wind power generation equipment 1 to be state A, it operates the wind power generation equipment 1 in normal operation mode, as in the case where it is determined to be state X.
[0031] In S107, if it is determined that the generator bearing temperature Tb obtained in S101 exceeds the threshold Tbth2 identified from the correlation information R2, the process proceeds to S109. In S109, the abnormality diagnosis unit 46 refers to the maintenance work history data of the generator 11 stored in the storage unit 50 and determines whether the operating period ts of the generator 11 from the most recent time when lubricant was supplied to the generator bearing 14 to the present is within a predetermined period t1 (for example, within 24 hours). The maintenance work history data stored in the storage unit 50 includes data on past maintenance work performed on the generator 11, such as the date on which lubricant was supplied to the generator bearing 14 in the past, or the date on which the generator bearing 14 was replaced in the past. In S109, the operating period ts is calculated by referring to this maintenance work history data.
[0032] In S109, if it is determined that the operating period ts of the generator 11 from the most recent time when lubricant was supplied to the generator bearing 14 to the present is within a predetermined period t1, then in S110, the abnormality diagnosis unit 46 determines that the state of the wind power generation equipment 1 is state A. The meaning of state A and the content of the control of the abnormality diagnosis unit 46 in the case of state A are as explained in S108, so the explanation is omitted here.
[0033] In S109, if it is determined that the operating period ts of the generator from the most recent time when lubricant was supplied to the generator bearing 14 to the present is not within a predetermined period t1, then in S111, the abnormality diagnosis unit 46 refers to the maintenance work history data of the generator 11 stored in the memory unit 50 and determines whether the elapsed period tu from the most recent time when lubricant was supplied to the generator bearing 14 to the present exceeds a predetermined period t2 (for example, 3 months).
[0034] In S111, if the system determines that the elapsed time tu from the most recent time when lubricant was supplied to the generator bearing 14 until the present exceeds a predetermined period t2, then in S112, the abnormality diagnosis unit 46 determines the state of the wind power generation equipment 1 to be state B. State B means that there is insufficient lubricant in the generator bearing 14, and if the operation of the generator 11 continues in state B, the generator bearing 14 may be damaged. Therefore, in S112, if the abnormality diagnosis unit 46 determines that the state of the wind power generation equipment 1 is state B, it sends a notification recommending the supply of lubricant to the generator bearing 14. The abnormality diagnosis unit 46 may send this notification outside the abnormality diagnosis system 40, or it may be displayed on, for example, a display unit 83 (see Figure 2) provided by the abnormality diagnosis system 40. Furthermore, if state B continues for a certain period of time or longer, the abnormality diagnosis unit 46 may automatically stop the operation of the wind power generation equipment 1. In other words, if condition B continues for a certain period of time or longer, the abnormality diagnosis unit 46 may transmit a shutdown instruction signal to the control device 20 via the communication network 21 to instruct the control device 20 to shut down the operation of the wind power generation equipment 1. When the control device 20 receives the shutdown instruction signal, it shuts down the operation of the wind power generation equipment 1.
[0035] In S111, if it is determined that the elapsed time tu from the most recent time when lubricant was supplied to the generator bearing 14 to the present does not exceed the predetermined period t2, the process proceeds to S113.
[0036] In S113, the abnormality diagnosis unit 46 refers to the maintenance work history data of the generator 11 stored in the memory unit 50 and determines whether or not the generator bearing 14 has been replaced within a predetermined period t3 in the past (for example, within the past year).
[0037] In S113, if it is determined that there is no record of replacing the generator bearing 14 within a predetermined period t3 in the past, the abnormality diagnosis unit 46 determines in S114 that the state of the wind power generation equipment 1 is state C. State C means that the generator bearing 14 is deteriorated, and if the operation of the generator 11 continues in state C, the generator 11 may fail. Therefore, in S114, if the abnormality diagnosis unit 46 determines that the state of the wind power generation equipment 1 is state C, it sends a notification recommending the replacement of the generator bearing 14. The abnormality diagnosis unit 46 may send this notification outside the abnormality diagnosis system 40, or it may be displayed on, for example, a display unit 83 (see Figure 2) provided in the abnormality diagnosis system 40. In addition, if state C continues for a certain period of time or longer, the abnormality diagnosis unit 46 may automatically stop the operation of the wind power generation equipment 1. In other words, if condition C persists for a certain period of time or longer, the abnormality diagnosis unit 46 may transmit a shutdown instruction signal to the control device 20 via the communication network 21 to instruct the control device 20 to shut down the operation of the wind power generation equipment 1. When the control device 20 receives the shutdown instruction signal, it shuts down the operation of the wind power generation equipment 1.
[0038] In S113, if it is determined that the generator bearing 14 has been replaced within a predetermined period t3 in the past (for example, within the past year), then in S115, the abnormality diagnosis unit 46 determines the state of the wind power generation equipment 1 to be state D. State D means that there are signs of abnormality in the mechanical equipment of the wind power generation equipment 1 other than the generator 11 (including equipment mechanically connected to the generator 11) (for example, abnormal vibration of the nacelle 3 or temperature rise of the speed increaser 10), and if the operation of the wind power generation equipment 1 continues in state D, there is a possibility that the wind power generation equipment 1 will fail.
[0039] Therefore, in S115, if the abnormality diagnosis unit 46 determines that the state of the wind power generation equipment 1 is state D, it sends a notification recommending that an inspector conduct an on-site inspection of the wind power generation equipment 1. The abnormality diagnosis unit 46 may send this notification outside the abnormality diagnosis system 40, or it may be displayed on, for example, a display unit 83 (see Figure 2) provided by the abnormality diagnosis system 40. Furthermore, if state C continues for a certain period of time or longer, the abnormality diagnosis unit 46 may automatically stop the operation of the wind power generation equipment 1. That is, if state C continues for a certain period of time or longer, the abnormality diagnosis unit 46 may send an operation stop instruction signal to the control device 20 via the communication network 21 to instruct the control device 20 to stop the operation of the wind power generation equipment 1. When the control device 20 receives the operation stop instruction signal, it stops the operation of the wind power generation equipment 1.
[0040] This disclosure is not limited to the embodiments described above, but also includes modified forms of the embodiments described above, as well as forms that combine these forms as appropriate.
[0041] In some embodiments, if the rotor 13 of the generator 11 includes windings, the first temperature sensor 7 may be configured to measure the temperature of the windings of the rotor 13 instead of the temperature of the windings of the stator 12.
[0042] Furthermore, in the abnormality diagnosis flow described using Figures 4 to 6, for example, S107 may be omitted. In this case, if the judgment in S105 is No, the process proceeds to S109.
[0043] The contents described in each of the above embodiments can be understood, for example, as follows:
[0044] [1] An anomaly diagnosis system for wind power generation equipment according to at least one embodiment of the present disclosure (e.g., the anomaly diagnosis system 40 described above) An abnormality diagnosis system for wind power generation equipment (for example, wind power generation equipment 1 mentioned above) for performing abnormality diagnosis of wind power generation equipment, A measurement data acquisition unit (e.g., the measurement data acquisition unit 42 described above) is configured to acquire the generator winding temperature (e.g., the generator winding temperature Tw described above) and the generator bearing temperature (e.g., the generator bearing temperature Tb described above) of the generator of the wind power generation facility, measured during power generation. An abnormality diagnosis unit (for example, the abnormality diagnosis unit 46 described above) is configured to diagnose abnormalities in the generator bearing based on the generator winding temperature and the generator bearing temperature acquired by the measurement data acquisition unit, It is equipped with.
[0045] Wind power generation equipment is an intermittent power source, and because there is a low correlation between generator output and generator bearing temperature, it has been difficult to accurately diagnose abnormalities in the generator bearings based on generator output and generator bearing temperature. As a result of diligent research by the inventors of this application, it was found that a high correlation is obtained between the generator winding temperature and the generator bearing temperature when the generator bearings are in a normal state. Therefore, as described in [1] above, by diagnosing abnormalities in the generator bearings based on the generator winding temperature and the generator bearing temperature, it becomes possible to accurately diagnose abnormalities in the generator bearings. This eliminates the need to stop the operation of the wind power generation equipment (power generation by the generator) more than necessary, and thus makes it possible to suppress a decrease in the operating rate of the wind power generation equipment.
[0046] [2] In some embodiments, the abnormality diagnosis system for wind power generation equipment described in [1] above, The abnormality diagnosis unit is configured to diagnose the generator bearing as normal if the generator bearing temperature does not exceed a first threshold (for example, the threshold Tbth1 described above) which is determined according to the generator winding temperature.
[0047] According to the abnormality diagnosis system for wind power generation equipment described in [2] above, the generator winding temperature and generator bearing temperature acquired by the measurement data acquisition unit can be determined using the first threshold value to see if they deviate from the pre-determined correlation between the generator winding temperature and the generator bearing temperature, thereby enabling accurate abnormality diagnosis of the generator bearing. This eliminates the need to stop the operation of the wind power generation equipment (power generation by the generator) unnecessarily, and thus makes it possible to suppress a decrease in the operating rate of the wind power generation equipment.
[0048] [3] In some embodiments, the abnormality diagnosis system for wind power generation equipment described in [1] or [2] above, The abnormality diagnosis unit operates the wind power generation equipment in normal operation mode if the generator bearing temperature does not exceed a first threshold (for example, the threshold Tbth1 described above) determined according to the generator winding temperature. The abnormality diagnosis unit is configured to execute an operating mode (for example, the output suppression mode described above) that suppresses the output of the generator more than the normal operating mode when both of the following conditions (a) and (b) are met. (a) The generator bearing temperature exceeds a first threshold (for example, the threshold Tbth1 described above) which is determined according to the generator winding temperature. (b) The generator winding temperature exceeds a second threshold (for example, the threshold Twth mentioned above).
[0049] In the above-mentioned wind power generation facility, if both conditions (a) and (b) are met, it means that the cooling performance of the generator has deteriorated due to a failure of the generator's cooling fan or the like. If no measures are taken to address the deterioration in cooling performance in this case, the generator windings may be damaged. Therefore, as described in [3] above, if both conditions (a) and (b) are met, the wind power generation facility can be operated in an output reduction mode that suppresses the generator output more than in the normal operating mode, thereby suppressing the temperature rise of the generator windings and preventing damage to the generator windings. Furthermore, the occurrence of serious accidents caused by such damage can be suppressed, and public safety can be ensured. In addition, the workload on workers can be reduced by avoiding sudden construction work.
[0050] [4] In some embodiments, in the abnormality diagnosis system for wind power generation equipment described in any of [1] to [3] above, The measurement data acquisition unit is configured to acquire the nacelle temperature, which is the temperature of the internal space of the nacelle measured during power generation of the wind power generation equipment. The abnormality diagnosis unit is configured to diagnose the generator bearing as normal if all of the following conditions (a), (c), and (d) are met. (a) The generator bearing temperature exceeds a first threshold (for example, the threshold Tbth1 described above) which is determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold (for example, the threshold Twth mentioned above). (d) The generator bearing temperature does not exceed a third threshold (e.g., Tbth2 as described above) determined according to the nacelle temperature.
[0051] In the above-mentioned wind power generation equipment, if all conditions (a), (c), and (d) are met, it means that the temperature of the generator bearing is temporarily elevated due to the heat generated by agitation of the lubricant immediately after lubrication of the generator bearing, and the generator bearing is in a normal state. Therefore, as described in [4] above, by diagnosing that the generator bearing is in a normal state when all conditions (a), (c), and (d) are met, it is possible to suppress the supply of lubricant to the generator bearing more than necessary. This makes it possible to optimize the lubrication interval, reduce the workload of operators and maintenance personnel, and suppress the decrease in the operating rate of the wind power generation equipment.
[0052] [5] In some embodiments, in the abnormality diagnosis system for wind power generation equipment described in any of [1] to [4] above, The abnormality diagnosis unit is configured to diagnose the generator bearing as normal if all of the following conditions (a), (c), and (e) are met. (a) The generator bearing temperature exceeds a first threshold (for example, the threshold Tbth1 described above) which is determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold (for example, the threshold Twth mentioned above). (e) The operating period of the generator since the most recent time the bearing of the generator was lubricated (for example, the operating period ts described above) is within a predetermined period (for example, the predetermined period t1 described above).
[0053] In the above-mentioned wind power generation equipment, if all conditions (a), (c), and (e) are met, it means that the temperature of the generator bearing is temporarily elevated due to the heat generated by agitation of the lubricant immediately after lubrication of the generator bearing, and the generator bearing is in a normal state. Therefore, as described in [5] above, by diagnosing that the generator bearing is in a normal state when all conditions (a), (c), and (e) are met, it is possible to suppress the supply of lubricant to the generator bearing more than necessary. This makes it possible to optimize the lubrication interval, reduce the workload of operators and maintenance personnel, and suppress the decrease in the operating rate of the wind power generation equipment.
[0054] [6] In some embodiments, in the abnormality diagnosis system for wind power generation equipment described in any of [1] to [5] above, The abnormality diagnosis unit is configured to issue a notification recommending the application of lubricant to the generator bearing when all of the following conditions (a), (c), and (f) are met. (a) The generator bearing temperature exceeds a first threshold (for example, the threshold Tbth1 described above) which is determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold (for example, the threshold Twth mentioned above). (f) The elapsed time since the most recent time when lubricant was supplied to the bearing of the generator (for example, the elapsed time tu mentioned above) exceeds a predetermined period (for example, the predetermined period t2 mentioned above).
[0055] In the wind power generation facility described above, if all conditions (a), (c), and (f) are met, it means that there is insufficient lubrication in the generator bearings. If the generator continues to operate in this condition, the generator bearings may be damaged due to a decrease in their lubrication performance. Therefore, as described in [6] above, by issuing a notice recommending the application of lubricant to the generator bearings when all conditions (a), (c), and (f) are met, damage to the generator bearings can be suppressed by applying lubricant to them. Furthermore, the occurrence of serious accidents caused by such failures can be suppressed, and public safety can be ensured. In addition, the workload on workers can be reduced by avoiding sudden construction work.
[0056] [7] In some embodiments, in the abnormality diagnosis system for wind power generation equipment described in any of [1] to [6] above, The abnormality diagnosis unit is configured to issue a notification recommending the replacement of the generator bearing when all of the following conditions (a), (c), (g), and (h) are met. (a) The generator bearing temperature exceeds a first threshold (for example, the threshold Tbth1 described above) which is determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold (for example, the threshold Twth mentioned above). (g) The operating period of the generator from the most recent time the lubricant was supplied to the generator bearing (e.g., the operating period ts described above) is not within the first predetermined period (e.g., the predetermined period t1 described above), and the elapsed time from the most recent time the lubricant was supplied to the generator bearing (e.g., the elapsed period tu described above) does not exceed the second predetermined period (e.g., the predetermined period t2 described above). (h) There is no record of replacing the generator bearing within the past predetermined period (for example, the predetermined period t3 mentioned above).
[0057] In the above-mentioned wind power generation facility, if all of conditions (a), (c), (g), and (h) are met, it means that the generator bearings are in a deteriorated state, and if the generator continues to operate in this state, the generator may fail. For this reason, as described in [7] above, by issuing a notice recommending the replacement of the generator bearings when all of conditions (a), (c), (g), and (h) are met, generator failures can be suppressed. Furthermore, the occurrence of serious accidents caused by such failures can be suppressed, and public safety can be ensured. In addition, the workload on workers can be reduced by avoiding sudden construction work.
[0058] [8] In some embodiments, in the abnormality diagnosis system for wind power generation equipment described in any of [1] to [7] above, The abnormality diagnosis unit is configured to issue a notification recommending an on-site inspection of the wind power generation facility by an inspector if all of the following conditions (a), (c), (g), and (i) are met. (a) The generator bearing temperature exceeds a first threshold (for example, the threshold Tbth1 described above) which is determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold (for example, the threshold Twth mentioned above). (g) The operating period of the generator from the most recent time the lubricant was supplied to the generator bearing (e.g., the operating period ts described above) is not within the first predetermined period (e.g., the predetermined period t1 described above), and the elapsed time from the most recent time the lubricant was supplied to the generator bearing (e.g., the elapsed period tu described above) does not exceed the second predetermined period (e.g., the predetermined period t2 described above). (i) There is a record of replacing the generator bearing within a predetermined period in the past (for example, the predetermined period t3 mentioned above).
[0059] In the above-mentioned wind power generation facility, if all of conditions (a), (c), (g), and (i) are met, it means that there are signs of abnormality in the mechanical equipment other than the generator in the wind power generation facility (for example, abnormal vibration of the nacelle or temperature rise of the gearbox, etc.), and if the operation of the wind power generation facility continues in this condition, there is a possibility that the wind power generation facility will fail. For this reason, as described in [8] above, by issuing a notice recommending an on-site inspection by an inspector when all of conditions (a), (c), (g), and (i) are met, the cause of the abnormality can be identified through the on-site inspection by the inspector and appropriate measures can be taken to suppress the occurrence of wind power generation facility failures. In addition, the occurrence of serious accidents caused by such failures can be suppressed and public safety can be ensured. Furthermore, the workload on workers can be reduced by avoiding sudden construction work.
[0060] [9] In some embodiments, in the abnormality diagnosis system for wind power generation equipment described in any of [2] to [8] above, As the generator winding temperature increases, the first threshold increases. Since the generator winding temperature and the generator bearing temperature have a positive correlation, the abnormality diagnosis system described in [2] to [8] can be made to function more effectively by increasing the first threshold as the generator winding temperature increases, as described in [9] above.
[0061]
[10] In a method for diagnosing abnormalities in a wind power generation facility (e.g., the wind power generation facility 1 described above) according to at least one embodiment of the present disclosure, A method for diagnosing abnormalities in wind power generation equipment, A measurement data acquisition step involves acquiring the generator winding temperature (e.g., the generator winding temperature Tw described above) and the generator bearing temperature (e.g., the generator bearing temperature Tb described above) of the generator of the wind power generation facility, measured during power generation. An abnormality diagnosis step is performed to diagnose an abnormality in the generator based on the generator winding temperature and the generator bearing temperature obtained in the measurement data acquisition step, It is equipped with.
[0062] Wind power generation equipment is an intermittent power source, and because there is a low correlation between generator output and generator bearing temperature, it has been difficult to accurately diagnose abnormalities in the generator bearings based on generator output and generator bearing temperature. As a result of diligent research by the inventors of this application, it was found that in a normal state of the generator bearings, a high correlation is obtained between the generator winding temperature and the generator bearing temperature. Therefore, as described in
[10] above, by diagnosing abnormalities in the generator bearings based on the generator winding temperature and the generator bearing temperature, it becomes possible to accurately diagnose abnormalities in the generator bearings. This eliminates the need to stop the operation of the wind power generation equipment (power generation by the generator) unnecessarily, and thus makes it possible to suppress a decrease in the operating rate of the wind power generation equipment. [Explanation of Symbols]
[0063] 1. Wind power generation facilities 2 pillars 3 Nasser 4 Wind turbine rotors 5 rotorheads 6 windmill blade 7. First temperature sensor 8. Second temperature sensor 9. Third temperature sensor 10 Speed increaser 11 Generators 12 Stator 13 rotor 14 Generator bearings 15 Cooling fan 20 Control device 21 Communication Networks 40 Anomaly Diagnosis System 42 Measurement data acquisition unit 46. Department of Abnormal Diagnosis 50 Storage section 72 processors 74 RAM 76 ROM 78 HDD 80 Input Interfaces 82 Output Interfaces 83 Display 84 Bus
Claims
1. An anomaly diagnosis system for wind power generation equipment, for diagnosing abnormalities in wind power generation equipment, A measurement data acquisition unit configured to acquire the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis unit is configured to perform an abnormality diagnosis of the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature acquired by the measurement data acquisition unit, Equipped with, The abnormality diagnosis unit is configured to diagnose the generator bearing as normal when the generator bearing temperature does not exceed a first threshold determined according to the generator winding temperature, in an abnormality diagnosis system for wind power generation equipment.
2. An abnormality diagnosis system for wind power generation equipment for performing abnormality diagnosis of wind power generation equipment, A measurement data acquisition unit configured to acquire the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis unit is configured to perform an abnormality diagnosis of the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature acquired by the measurement data acquisition unit, Equipped with, The abnormality diagnosis unit, when the generator bearing temperature does not exceed a first threshold determined according to the generator winding temperature, operates the wind power generation equipment in normal operation mode. An abnormality diagnosis system for a wind power generation facility, wherein the abnormality diagnosis unit is configured to execute an operating mode that suppresses the output of the generator more than the normal operating mode when both of the following conditions (a) and (b) are met. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (b) The generator winding temperature exceeds the second threshold.
3. An abnormality diagnosis system for wind power generation equipment for performing abnormality diagnosis of wind power generation equipment, A measurement data acquisition unit configured to acquire the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis unit is configured to perform an abnormality diagnosis of the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature acquired by the measurement data acquisition unit, Equipped with, The measurement data acquisition unit is configured to acquire the nacelle temperature, which is the temperature of the internal space of the nacelle measured during power generation of the wind power generation equipment. An abnormality diagnosis system for wind power generation equipment, wherein the abnormality diagnosis unit is configured to diagnose the generator bearing as normal when all of the following conditions (a), (c), and (d) are met. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold. (d) The generator bearing temperature does not exceed a third threshold determined according to the nacelle temperature.
4. An abnormality diagnosis system for wind power generation equipment for performing abnormality diagnosis of wind power generation equipment, A measurement data acquisition unit configured to acquire the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis unit is configured to perform an abnormality diagnosis of the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature acquired by the measurement data acquisition unit, Equipped with, An abnormality diagnosis system for wind power generation equipment, wherein the abnormality diagnosis unit is configured to diagnose the generator bearing as normal when all of the following conditions (a), (c), and (e) are met. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold. (e) The operating period of the generator since the most recent time that lubricant was supplied to the bearings of the generator is within a predetermined period.
5. An abnormality diagnosis system for wind power generation equipment for performing abnormality diagnosis of wind power generation equipment, A measurement data acquisition unit configured to acquire the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis unit is configured to perform an abnormality diagnosis of the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature acquired by the measurement data acquisition unit, Equipped with, An abnormality diagnosis system for wind power generation equipment, wherein the abnormality diagnosis unit is configured to issue a notification recommending the application of lubricant to the generator bearing when all of the following conditions (a), (c), and (f) are met. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold. (f) The time elapsed since the most recent time when lubricant was applied to the bearing of the generator exceeds a predetermined period.
6. An abnormality diagnosis system for wind power generation equipment for performing abnormality diagnosis of wind power generation equipment, A measurement data acquisition unit configured to acquire the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis unit is configured to perform an abnormality diagnosis of the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature acquired by the measurement data acquisition unit, Equipped with, An abnormality diagnosis system for wind power generation equipment, wherein the abnormality diagnosis unit is configured to issue a notification recommending the replacement of the generator bearing when all of the following conditions (a), (c), (g), and (h) are met. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold. (g) The operating period of the generator since the most recent time the generator bearing was lubricated is not within the first predetermined period, and the elapsed time since the most recent time the generator bearing was lubricated does not exceed the second predetermined period. (h) There is no record of replacing the generator bearing within the specified period in the past.
7. An abnormality diagnosis system for wind power generation equipment for performing abnormality diagnosis of wind power generation equipment, A measurement data acquisition unit configured to acquire the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis unit is configured to perform an abnormality diagnosis of the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature acquired by the measurement data acquisition unit, Equipped with, An anomaly diagnosis system for wind power generation equipment, wherein the anomaly diagnosis unit is configured to issue a notification recommending an on-site inspection of the wind power generation equipment by an inspector when all of the following conditions (a), (c), (g), and (i) are met. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold. (g) The operating period of the generator since the most recent time the generator bearing was lubricated is not within the first predetermined period, and the elapsed time since the most recent time the generator bearing was lubricated does not exceed the second predetermined period. (i) There is a record of replacing the generator bearing within a specified period in the past.
8. An abnormality diagnosis system for a wind power generation facility according to any one of claims 1 to 7, wherein the first threshold increases as the generator winding temperature increases.
9. A method for diagnosing abnormalities in wind power generation equipment, A measurement data acquisition step involves acquiring the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis step is performed to diagnose an abnormality in the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature obtained in the measurement data acquisition step, Equipped with, The abnormality diagnosis step is a method for diagnosing abnormalities in a wind power generation facility, wherein the generator bearing is diagnosed as normal if the generator bearing temperature does not exceed a first threshold determined according to the generator winding temperature.
10. A method for diagnosing abnormalities in wind power generation equipment, A measurement data acquisition step involves acquiring the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis step is performed to diagnose an abnormality in the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature obtained in the measurement data acquisition step, Equipped with, The abnormality diagnosis step involves operating the wind power generation equipment in normal operation mode if the generator bearing temperature does not exceed a first threshold determined according to the generator winding temperature. The abnormality diagnosis step is a method for diagnosing abnormalities in a wind power generation facility, wherein the abnormality diagnosis step executes an operating mode that suppresses the output of the generator more than the normal operating mode when both of the following conditions (a) and (b) are met. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (b) The generator winding temperature exceeds the second threshold.
11. A method for diagnosing abnormalities in wind power generation equipment, A measurement data acquisition step involves acquiring the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis step is performed to diagnose an abnormality in the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature obtained in the measurement data acquisition step, Equipped with, The measurement data acquisition step involves acquiring the nacelle temperature, which is the temperature of the internal space of the nacelle measured during power generation of the wind power generation equipment. The abnormality diagnosis step is a method for diagnosing abnormalities in a wind power generation facility, wherein the generator bearing is diagnosed as normal when all of the following conditions (a), (c), and (d) are met. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold. (d) The generator bearing temperature does not exceed a third threshold determined according to the nacelle temperature.
12. A method for diagnosing abnormalities in wind power generation equipment, A measurement data acquisition step involves acquiring the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis step is performed to diagnose an abnormality in the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature obtained in the measurement data acquisition step, Equipped with, The abnormality diagnosis step is a method for diagnosing abnormalities in a wind power generation facility, wherein the generator bearing is diagnosed as normal when all of the following conditions (a), (c), and (e) are met. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold. (e) The operating period of the generator since the most recent time that lubricant was supplied to the bearings of the generator is within a predetermined period.
13. A method for diagnosing abnormalities in wind power generation equipment, A measurement data acquisition step involves acquiring the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis step is performed to diagnose an abnormality in the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature obtained in the measurement data acquisition step, Equipped with, The abnormality diagnosis step is a method for diagnosing abnormalities in wind power generation equipment, wherein if all of the following conditions (a), (c), and (f) are met, a notification recommending the application of lubricant to the generator bearings is issued. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold. (f) The time elapsed since the most recent time when lubricant was applied to the bearing of the generator exceeds a predetermined period.
14. A method for diagnosing abnormalities in wind power generation equipment, A measurement data acquisition step involves acquiring the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis step is performed to diagnose an abnormality in the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature obtained in the measurement data acquisition step, Equipped with, The abnormality diagnosis step is a method for diagnosing abnormalities in a wind power generation facility, wherein if all of the following conditions (a), (c), (g), and (h) are met, a notification recommending the replacement of the generator bearing is issued. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold. (g) The operating period of the generator since the most recent time the generator bearing was lubricated is not within the first predetermined period, and the elapsed time since the most recent time the generator bearing was lubricated does not exceed the second predetermined period. (h) There is no record of replacing the generator bearing within the specified period in the past.
15. A method for diagnosing abnormalities in wind power generation equipment, A measurement data acquisition step involves acquiring the generator winding temperature and generator bearing temperature of the wind turbine during power generation of the wind turbine, An abnormality diagnosis step is performed to diagnose an abnormality in the generator bearing of the generator based on the generator winding temperature and the generator bearing temperature obtained in the measurement data acquisition step, Equipped with, The abnormality diagnosis step is a method for diagnosing abnormalities in a wind power generation facility, wherein if all of the following conditions (a), (c), (g), and (i) are met, a notice is issued recommending an on-site inspection of the wind power generation facility by an inspector. (a) The generator bearing temperature exceeds a first threshold value determined according to the generator winding temperature. (c) The generator winding temperature does not exceed the second threshold. (g) The operating period of the generator since the most recent time the generator bearing was lubricated is not within the first predetermined period, and the elapsed time since the most recent time the generator bearing was lubricated does not exceed the second predetermined period. (i) There is a record of replacing the generator bearing within a specified period in the past.
16. The method for diagnosing abnormalities in a wind power generation facility according to any one of claims 9 to 15, wherein the first threshold increases as the generator winding temperature increases.