Fault identification method, controller and wind generating set

Abstract

The invention provides a fault identification method, a controller and a wind generating set. The fault identification method based on the displacement monitoring device is characterized in that the displacement monitoring device comprises a first displacement monitoring device used for monitoring the displacement of a first elastic supporting piece of a gearbox of the wind generating set, and the first displacement monitoring device comprises a first displacement sensor comprising a first sensor body and a first sensing piece; the fault identification method comprises the steps that in the shutdown state of the wind generating set, in response to the situation that the displacement, monitored by a first displacement monitoring device, of a first elastic supporting piece is larger than a first preset value or smaller than a second preset value and lasts for at least first preset time, it is determined that the first displacement monitoring device has calibration deviation, the first preset value is larger than a calibration distance between the first sensor body and the first induction sheet in a debugging stage of the wind generating set, and the second preset value is smaller than the calibration distance.

Description

Technical Field

[0001] This application relates to the field of wind power, and more specifically, to a fault identification method based on a displacement monitoring device. Background Art

[0002] The gearbox is an important component of a doubly-fed or semi-direct-drive wind turbine generator set (referred to as a wind turbine, a unit, or a wind power generation unit, etc.). The gearbox is used to increase the rotational speed of the impeller to the rated rotational speed of the generator, drive the generator to rotate, and achieve the conversion of wind energy into electrical energy. The gearbox is connected to the wind turbine base through elastic support members. Specifically, torque arms are provided on the gearbox. Generally, two elastic support members are provided and are respectively connected to the inner frame surface of the elastic support frame. The torque arms are clamped and fixed between the two elastic support members, and the elastic support frame is connected to the machine base, thereby connecting the gearbox to the machine base. The main function of the elastic support members is to bear the torque in the Mx direction, attenuate, and absorb the vibration load and noise of the gearbox. The torque of the gearbox is transmitted to the elastic support members through the torque arms. The elastic support members enable the vertical movement generated by the deformation or assembly error of the unit under operating conditions to be smoothly achieved and maintain a high stiffness to transmit the torque.

[0003] Once the elastic support members are damaged, the gearbox will become unstable, which will cause the failure of the gearbox body. In severe cases, the drive shaft will break and fail, which will cause the overall shedding of the hub blades or even the collapse of the tower, resulting in huge losses. Therefore, it is necessary to protect the elastic support members of the gearbox.

[0004] Currently, the influence of the failure of the displacement monitoring device of the gearbox on the protection function of the elastic support members is not considered, and the influence of the measurement result of the displacement monitoring device of the gearbox exceeding the limit value of the device itself on the protection function of the elastic support members is not considered. Summary of the Invention

[0005] In order to at least solve the above problems in the prior art, the present disclosure provides a fault identification method based on a displacement monitoring device.

[0006] One of the purposes of the present disclosure is to provide a fault identification method that can accurately identify various types of faults based on a displacement monitoring device.

[0007] According to a first aspect of the present disclosure, a fault identification method based on a displacement monitoring device is provided. The displacement monitoring device includes a first displacement monitoring device for monitoring the displacement of a first elastic support of a gearbox of a wind turbine. The first displacement monitoring device includes a first displacement sensor including a first sensor body and a first induction sheet. The fault identification method includes: in a shutdown state of the wind turbine, in response to the displacement of the first elastic support monitored by the first displacement monitoring device being greater than a first predetermined value or less than a second predetermined value and lasting for at least a first preset time, determining that the first displacement monitoring device has a calibration deviation, wherein the first predetermined value is greater than the calibration distance between the first sensor body and the first induction sheet during the commissioning stage of the wind turbine, and the second predetermined value is less than the calibration distance.

[0008] According to an embodiment of the present disclosure, the fault identification method may further include: in an operating state of the wind turbine, in response to the displacement of the first elastic support monitored by the first displacement monitoring device remaining constant and lasting for at least a second preset time, determining that the first displacement monitoring device has a data holding fault or a measurement overrun fault, wherein the second preset time is greater than the first preset time.

[0009] According to an embodiment of the present disclosure, in an operating state of the wind turbine, in response to the displacement of the first elastic support monitored by the first displacement monitoring device remaining constant and lasting for at least a second preset time, the step of determining that the displacement monitoring device has a data holding fault or a measurement overrun fault may include: in an operating state of the wind turbine, in response to the displacement of the first elastic support monitored by the first displacement monitoring device satisfying a first condition and lasting for at least a second preset time, determining that the first displacement monitoring device has a data holding fault, wherein the first condition may include: the displacement remains at a value between the displacement monitoring lower limit value and the displacement monitoring upper limit value of the first displacement monitoring device or the displacement remains zero.

[0010] According to an embodiment of the present disclosure, in an operating state of the wind turbine, in response to the displacement of the first elastic support monitored by the first displacement monitoring device remaining constant and lasting for at least a second preset time, the step of determining that the first displacement monitoring device has a data holding fault or a measurement overrun fault may include: in an operating state of the wind turbine, in response to the displacement of the first elastic support monitored by the first displacement monitoring device remaining at the displacement monitoring upper limit value or the displacement monitoring lower limit value of the first displacement monitoring device and lasting for at least a second preset time, determining that the first displacement monitoring device has a measurement overrun fault.

[0011] According to an embodiment of the present disclosure, the first displacement monitoring device further includes a first monitoring circuit. The first monitoring circuit is electrically connected to the first displacement sensor and converts the received electrical signal into the displacement amount of the first elastic support. The fault identification method may further include: in response to the amplitude of the received electrical signal being greater than the monitoring upper limit value of the first displacement sensor or less than the monitoring lower limit value of the first displacement sensor, and lasting for at least a second preset time, determining that the first displacement monitoring device has a data overlimit fault.

[0012] According to an embodiment of the present disclosure, the fault identification method may further include: in the operating state of the wind turbine generator set, in response to the displacement amount of the first elastic support monitored by the first displacement monitoring device being greater than a third predetermined value or less than a fourth predetermined value, and lasting for at least a third preset time, determining that the first elastic support has a first-degree displacement deviation fault, where the third preset time is less than the first preset time, the third predetermined value is greater than the first predetermined value, and the fourth predetermined value is less than the second predetermined value; in the operating state of the wind turbine generator set, in response to the displacement amount of the first elastic support monitored by the first displacement monitoring device being greater than a fifth predetermined value or less than a sixth predetermined value, and lasting for at least a third preset time, determining that the first elastic support has a second-degree displacement deviation fault, where the fifth predetermined value is greater than the third predetermined value, the sixth predetermined value is less than the fourth predetermined value, and the second degree is greater than the first degree.

[0013] According to an embodiment of the present disclosure, the first predetermined value, the second predetermined value, the third predetermined value, the fourth predetermined value, the fifth predetermined value, and the sixth predetermined value thresholds may be determined according to the load of the wind turbine generator set and the self-characteristics of the first elastic support.

[0014] According to an embodiment of the present disclosure, the displacement monitoring device may further include a second displacement monitoring device for monitoring the displacement of the second elastic support of the gearbox of the wind turbine generator set. The second displacement monitoring device includes a second displacement sensor including a second sensor body and a second induction sheet. The first elastic support and the second elastic support are installed on both sides of the gearbox. The fault identification method may further include: in the operating state of the wind turbine generator set, determining whether the wind turbine generator set has a vortex-induced vibration fault according to the change trend of the displacement amount of the second elastic support monitored by the second displacement monitoring device and the displacement amount of the first elastic support monitored by the first displacement monitoring device.

[0015] According to an embodiment of the present disclosure, the first displacement sensor and the second displacement sensor may be installed at the same height. In the operating state of the wind turbine generator set, the steps of determining whether there is a vortex-induced vibration fault in the wind turbine generator set according to the change trends of the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device may include: in the operating state of the wind turbine generator set, in response to the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device having opposite change trends, determining that there is a vortex-induced vibration fault in the wind turbine generator set.

[0016] According to an embodiment of the present disclosure, the first displacement sensor and the second displacement sensor may be installed at different heights. In the operating state of the wind turbine generator set, the steps of determining whether there is a vortex-induced vibration fault in the wind turbine generator set according to the change trends of the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device may include: in the operating state of the wind turbine generator set, in response to the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device having the same change trends, determining that there is a vortex-induced vibration fault in the wind turbine generator set.

[0017] According to an embodiment of the present disclosure, the first sensing piece may be disposed on the support frame torsion arm of the first elastic support, the second sensing piece is disposed on the support frame torsion arm of the second elastic support, the first sensor body is disposed on the base of the first elastic support, and the second sensor body is disposed on the base of the second elastic support.

[0018] According to a second aspect of the present disclosure, a computer-readable storage medium may be provided. The computer-readable storage medium stores a program or instructions, and when the program or instructions are run by a processor, the processor is caused to execute the above-mentioned fault identification method.

[0019] According to a third aspect of the present disclosure, a controller for a wind turbine generator set is provided. The controller includes a processor and a memory. The memory stores a program or instructions, and when the program or instructions are run by the processor, the processor is caused to execute the above-mentioned fault identification method.

[0020] According to a fourth aspect of the present disclosure, a wind turbine generator set is provided. The wind turbine generator set includes the above-mentioned controller.

[0021] The fault identification method according to the embodiment of the present disclosure can improve the safety of the wind turbine generator set. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a front view showing a displacement monitoring device according to an embodiment of the present disclosure;

[0023] Figure 2 is a side view showing a displacement monitoring device according to an embodiment of the present disclosure;

[0024] Figure 3 is a flowchart showing a fault identification method according to a first embodiment of the present disclosure;

[0025] Figure 4 is a flowchart showing a fault identification method according to a second embodiment of the present disclosure;

[0026] Figure 5 is a flowchart showing a fault identification method according to a third embodiment of the present disclosure;

[0027] Figure 6 is a flowchart showing a fault identification method according to a fourth embodiment of the present disclosure;

[0028] Figure 7 is a graph showing the displacement amounts of two elastic supports monitored by a displacement monitoring device according to an embodiment of the present disclosure and having the same change trend;

[0029] Figure 8 is a graph showing the displacement amounts of two elastic supports monitored by a displacement monitoring device according to an embodiment of the present disclosure and having opposite change trends.

[0030] Hereinafter, the present disclosure will be described in detail with reference to the accompanying drawings. Throughout the drawings, the same or similar elements will be denoted by the same or similar reference numerals. Detailed Description of the Embodiments

[0031] The following detailed description is used to help obtain a comprehensive understanding of the methods, devices, and / or systems described herein. However, the order of operations described herein is merely exemplary and is not limited to those set forth herein. Rather, equivalent substitutions or changes can be made, except for operations that must occur or be performed in a specific order. In addition, for greater clarity and conciseness, descriptions of well-known content in the art will be omitted or simplified.

[0032] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present disclosure pertains after understanding the present disclosure. Unless explicitly defined herein, terms (such as those defined in a general dictionary) should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and the present disclosure, and should not be idealized or interpreted too formally.

[0033] Unless otherwise specified, the same reference numerals generally refer to the same elements (e.g., components, steps, and methods). Reference numerals that have appeared in previous embodiments and reappear in later embodiments may be omitted. Additionally, the technical features described in different or the same embodiments can be combined in any manner, as long as the combined embodiment or technical solution is complete and can solve the technical problems of this application or achieve the technical effects described or not described in this disclosure but determinable based on the above complete technical solution.

[0034] According to an embodiment of the present disclosure, in the initial state (when the displacement monitoring device is just installed), it can be ensured that the distance between the sensor body and the sensing sheet is greater than the damage limit displacement of the elastic support member, ensuring that the displacement of the elastic support member can be effectively monitored before the elastic support member is damaged.

[0035] As shown above, the elastic support member of the gearbox can be monitored by the displacement monitoring device, thereby implementing corresponding protection schemes. When the displacement of the elastic support member exceeds the displacement warning limit value, it indicates that the elastic support member of the gearbox is in an abnormal state but can still be used. At this time, the unit reports a warning to prompt the operation and maintenance personnel to check and repair.

[0036] When the displacement of the elastic support member exceeds the limit displacement limit value, it indicates that the elastic support member of the gearbox is damaged. If the unit continues to operate, it is very likely to cause damage to the gearbox body, resulting in greater losses. Therefore, it is necessary to immediately report a fault and stop the machine. The fault identification method according to the embodiment of the present disclosure can identify various faults based on the displacement monitoring device.

[0037] Figure 1 is a front view showing the displacement monitoring device according to an embodiment of the present disclosure, Figure 2 is a side view showing the displacement monitoring device according to an embodiment of the present disclosure.

[0038] Refer to Figure 1 and Figure 2, according to an embodiment of the present disclosure, the displacement monitoring device may include a first displacement monitoring device 1 for monitoring the displacement of a first elastic support of a gearbox of a wind turbine. The first displacement monitoring device 1 may include a first displacement sensor including a first sensor body 20 and a first induction sheet 70. In addition, the first induction sheet 70 may be disposed on a support frame torsion arm 60 of the first elastic support, and the first sensor body 20 may be disposed on a pedestal (e.g., a lower pedestal 40) of the first elastic support. A gasket may be disposed on the lower pedestal 40 to balance the first elastic support. A support rubber sleeve may be disposed inside the support frame torsion arm, and a coolant may be injected into the inside of the support rubber sleeve. The first elastic support may be installed on the lower pedestal 40 through a lower bolt 50 and may be installed on an upper pedestal 90 through an upper bolt 80. As an example, the first sensor body 20 may be installed on the lower pedestal 40 through a mounting plate 30. As an example, the first displacement monitoring device 1 may also be installed on the upper pedestal 90 so that the first displacement monitoring device 1 is disposed at a higher position.

[0039] In addition, although not shown, the first displacement monitoring device according to an embodiment of the present disclosure may further include a first monitoring circuit. The first monitoring circuit may be electrically connected to the first displacement sensor and convert the received electrical signal into a displacement amount of the first elastic support.

[0040] Although not shown, the displacement monitoring device according to an embodiment of the present disclosure may further include a second displacement monitoring device for monitoring the displacement of a second elastic support of the gearbox of the wind turbine. The first elastic support and the second elastic support may be respectively installed on both sides (left and right sides in the shafting direction) of the gearbox.

[0041] As an example, the second displacement monitoring device may be installed on the lower pedestal, and the second displacement monitoring device may also be installed on the upper pedestal. The second displacement monitoring device may include a second displacement sensor including a second sensor body and a second induction sheet. In addition, the second induction sheet may be disposed on a support frame torsion arm of the second elastic support, and the second sensor body may be disposed on a pedestal of the second elastic support. The second elastic support may be installed on the lower pedestal through a lower bolt and may be installed on the upper pedestal through an upper bolt. As an example, the second sensor body may be installed on the lower pedestal through a mounting plate.

[0042] The second displacement monitoring device may have the same structure as the first displacement monitoring device and may have the same installation method as the first displacement monitoring device. As an example, the first displacement monitoring device and the second displacement monitoring device may be installed at the same height or different heights. By installing the first displacement monitoring device and the second displacement monitoring device at the upper end or the lower end of the first elastic support torsion arm and the second elastic support torsion arm, they can be installed at different or the same heights.

[0043] According to the characteristics of the elastic support of the gearbox, a displacement monitoring device with a measurement range of 1 mm to 15 mm can be selected. The displacement monitoring device can output an analog signal of 4 mA to 20 mA. The analog signal of the displacement monitoring device can be connected to the analog monitoring module (for example, the PLC monitoring module) of the controller of the wind turbine generator. The controller can parse the analog signal (for example, the current signal) into the displacement change amount (1 mm - 15 mm) of the elastic support. The detection values of 4 mA to 20 mA can respectively correspond to the displacement monitoring values of 1 mm to 15 mm. As an example, according to different displacement sensors, the displacement monitoring device can also output other electrical signals such as voltage signals.

[0044] During the commissioning phase of the wind turbine generator, initial calibration can be performed on each displacement monitoring device. The calibration value or calibration distance can be 5 mm. The distance between the sensor body and the induction sheet can be adjusted to 5 mm ± 1.5 mm through a calibration tooling of a vernier caliper and a feeler gauge of 5 mm. The initial calibration distance can be written into the program as a fixed parameter. When the displacement of the displacement monitoring device is greater than a certain predetermined threshold or less than a certain predetermined threshold and lasts for a predetermined time in the shutdown state of the wind turbine generator, an initial calibration warning can be given.

[0045] For example, in the shutdown state of the wind turbine generator, if the displacement of the first elastic support monitored by the first displacement monitoring device is greater than the first predetermined value or less than the second predetermined value, and lasts for at least the first preset time, it is determined that there is a calibration deviation in the first displacement monitoring device. Here, the first predetermined value is greater than the calibration distance between the first sensor body and the first induction sheet during the commissioning phase of the wind turbine generator, and the second predetermined value is less than the calibration distance.

[0046] The above-mentioned calibration deviation may be due to the aging, creep of the support rubber sleeve, leakage of the coolant, lack of liquid, loosening of the fixing bolts, and deformation of the elastic support caused by overloading or product quality problems. Compared with the protection conditions during the operation phase, the identification of the calibration deviation can detect problems with the elastic support earlier.

[0047] Figure 3 It is a flowchart showing a fault identification method according to the first embodiment of the present disclosure.

[0048] Specifically, with reference to Figure 3 According to the first embodiment of the present disclosure, the fault identification method may include step S210, step S220, and step S230.

[0049] In step S210, in the shutdown state of the wind turbine generator, it can be determined whether the displacement S of the first elastic support monitored by the first displacement monitoring device is greater than the first predetermined value P1 or less than the second predetermined value P2.

[0050] In step S220, if the displacement S of the first elastic support monitored by the first displacement monitoring device is greater than the first predetermined value P1 or less than the second predetermined value P2, it is determined whether the duration for which the displacement satisfies the above condition is greater than or equal to T1.

[0051] In step S230, if the duration for which the displacement S of the first elastic support monitored by the first displacement monitoring device is greater than the first predetermined value P1 or less than the second predetermined value P2 is greater than or equal to T1, it is determined that there is a calibration deviation in the first displacement monitoring device.

[0052] For example, when the duration for which the displacement S of the first elastic support monitored by the first displacement monitoring device is greater than 6.5 mm or less than 3.5 mm is greater than or equal to 1 s, it can be determined that there is a calibration deviation in the first displacement monitoring device.

[0053] Although not shown, the fault identification method according to the first embodiment of the present disclosure may further include determining whether there is a calibration deviation in the second displacement monitoring device based on whether the displacement of the second elastic support monitored by the second displacement monitoring device satisfies a similar condition.

[0054] For example, when the duration for which the displacement of the second elastic support monitored by the second displacement monitoring device is greater than 6.5 mm or less than 3.5 mm is greater than or equal to 1 s, it can be determined that there is a calibration deviation in the second displacement monitoring device. The comparison threshold of the second displacement monitoring device may be different from that of the first displacement monitoring device.

[0055] The fault identification method according to the embodiment of the present disclosure may further include: when the wind turbine is in an operating state, if the displacement of the first elastic support monitored by the first displacement monitoring device remains constant and lasts for at least a second preset time, it is determined that there is a data holding fault or a measurement overrun fault in the first displacement monitoring device, where the second preset time may be greater than the first preset time.

[0056] Figure 4 is a flowchart showing the fault identification method according to the second embodiment of the present disclosure.

[0057] Specifically, reference may be made to Figure 4 and the fault identification method according to the second embodiment of the present disclosure may further include step S240, step S250, and step S260.

[0058] In step S240, in the operating state of the wind turbine generator set, it is judged whether the displacement S of the first elastic support monitored by the first displacement monitoring device remains constant (for example, the displacement S remains at a constant value P). It should be noted that the displacement remaining constant, the displacement being greater than or less than a certain threshold as shown above can all refer to the average value within a short period of time satisfying the corresponding conditions. In addition, the constancy here covers the situation of fluctuating around the constant value P.

[0059] In step S250, if the displacement S of the first elastic support monitored by the first displacement monitoring device remains constant, it is further judged whether the above conditions are satisfied for at least a second preset time T2.

[0060] In step S260, if the displacement S of the first elastic support monitored by the first displacement monitoring device remains constant for at least a second preset time T2, it is determined that the first displacement monitoring device has a data holding fault or a measurement overrun fault, where the second preset time T2 can be greater than the first preset time T1. As an example, the second preset time T2 here can be at least twice the first preset time T1.

[0061] For example, when the duration of no change in the displacement S of the first elastic support monitored by the first displacement monitoring device reaches 3 s, it can be determined that the first displacement monitoring device has a data holding fault or a measurement overrun fault.

[0062] In the operating state of the wind turbine generator set, if the displacement of the first elastic support monitored by the first displacement monitoring device remains constant and lasts for at least a second preset time, the steps of determining that the displacement monitoring device has a data holding fault or a measurement overrun fault may include: in the operating state of the wind turbine generator set, if the displacement of the first elastic support monitored by the first displacement monitoring device satisfies the first condition and lasts for at least a second preset time, it is determined that the first displacement monitoring device has a data holding fault, where the first condition includes: the displacement remains at a value between the displacement monitoring lower limit value and the displacement monitoring upper limit value of the first displacement monitoring device, or the displacement remains zero.

[0063] As an example, in the operating state of the wind turbine generator set, if the displacement of the first elastic support monitored by the first displacement monitoring device always remains unchanged at a value between the displacement monitoring lower limit value and the displacement monitoring upper limit value of the first displacement monitoring device (for example, always fluctuates within a small range around 10 mA), it can be determined that the first displacement monitoring device has a data holding fault.

[0064] The fault identification method according to an embodiment of the present disclosure can detect the data retention failure of the elastic support displacement monitoring device itself, which is beneficial to timely protect the shutdown and avoid running without monitoring in the case of losing the displacement monitoring protection of the elastic support. In addition, the fault identification method according to an embodiment of the present disclosure can also detect the data retention caused by the failure of the PLC module of the controller, which is beneficial to early detection of whether the PLC module fails.

[0065] In the operating state of the wind turbine generator set, if the displacement of the first elastic support monitored by the first displacement monitoring device remains constant and lasts for at least a second preset time, the steps of determining that the first displacement monitoring device has a data retention fault or a measurement overrun fault may include: in the operating state of the wind turbine generator set, if the displacement of the first elastic support monitored by the first displacement monitoring device remains at the displacement monitoring upper limit value or the displacement monitoring lower limit value of the first displacement monitoring device and lasts for at least a second preset time, it is determined that the first displacement monitoring device has a measurement overrun fault.

[0066] For example, if the displacement of the first elastic support monitored by the first displacement monitoring device remains at 15 mm and lasts for at least 3 s, it can be determined that the first displacement monitoring device has a measurement overrun fault.

[0067] Since the parameters of each wind turbine generator set are different and the sensor has a fixed measurement range, the fault identification method according to an embodiment of the present disclosure can detect the design defect that the measurement range of the sensor cannot meet the design requirements of the unit, and prompt the designer that the selection is deviated.

[0068] The fault identification method according to an embodiment of the present disclosure may further include: if the amplitude of the received electrical signal is greater than the monitoring upper limit value of the first displacement sensor or less than the monitoring lower limit value of the first displacement sensor and lasts for at least a second preset time, it is determined that the first displacement monitoring device has a data overrun fault.

[0069] Figure 5 It is a flowchart showing the fault identification method according to the third embodiment of the present disclosure.

[0070] The fault identification method according to the third embodiment of the present disclosure may include step S310, step S320, and step S330.

[0071] In step S310, it is judged whether the amplitude of the received electrical signal is greater than the monitoring upper limit value of the first displacement sensor or less than the monitoring lower limit value of the first displacement sensor.

[0072] In step S320, if the amplitude of the received electrical signal is greater than the monitoring upper limit value of the first displacement sensor or less than the monitoring lower limit value of the first displacement sensor, it is further determined whether the state satisfying the above conditions lasts for at least a second preset time T2. Here, the second preset time T2 can be greater than the first preset time T1.

[0073] In step S330, if the amplitude of the received electrical signal is greater than the monitoring upper limit value of the first displacement sensor or less than the monitoring lower limit value of the first displacement sensor for at least the second preset time T2, it is determined that there is a data overlimit fault.

[0074] For example, when the amplitude of the received electrical signal is greater than 20 mA or less than 4 mA, it is determined that there is a data overlimit fault. The fault identification method according to the embodiments of the present disclosure can find that the monitoring sensor and signal line of the elastic support are subject to electromagnetic interference, resulting in the transmitted current exceeding the normal value. In addition, the fault identification method according to the embodiments of the present disclosure can find the data overlimit caused by the failure of the PLC module.

[0075] The fault identification method according to the embodiments of the present disclosure further includes: in the operating state of the wind turbine generator, if the displacement of the first elastic support monitored by the first displacement monitoring device is greater than a third predetermined value or less than a fourth predetermined value, and lasts for at least a third preset time, it is determined that the first elastic support has a displacement deviation fault of a first degree, where the third preset time is less than the first preset time, the third predetermined value is greater than the first predetermined value, and the fourth predetermined value is less than the second predetermined value; in the operating state of the wind turbine generator, if the displacement of the first elastic support monitored by the first displacement monitoring device is greater than a fifth predetermined value or less than a sixth predetermined value, and for at least the third preset time, it is determined that the first elastic support has a displacement deviation fault of a second degree, where the fifth predetermined value is greater than the third predetermined value, the sixth predetermined value is less than the fourth predetermined value, and the second degree is greater than the first degree.

[0076] Figure 6 It is a flowchart showing the fault identification method according to the fourth embodiment of the present disclosure.

[0077] The fault identification method according to the fourth embodiment of the present disclosure may include step S510, step S520, and step S530.

[0078] In step S510, it is determined whether the displacement S of the first elastic support monitored by the first displacement monitoring device is greater than a third predetermined value P3 or less than a fourth predetermined value P4.

[0079] In step S520, if the displacement S of the first elastic support monitored by the first displacement monitoring device is greater than the third predetermined value P3 or less than the fourth predetermined value P4, it is further determined whether the state satisfying the above conditions lasts at least for the third preset time T3. As an example, the third preset time here can be less than or equal to one-tenth of the first preset time. For example, the third preset time can be 60 ms.

[0080] In step S530, if the displacement S of the first elastic support monitored by the first displacement monitoring device is greater than the third predetermined value P3 or less than the fourth predetermined value P4 for at least the third preset time T3, it is determined that there is a displacement deviation fault in the first displacement monitoring device.

[0081] The first predetermined value, the second predetermined value, the third predetermined value, the fourth predetermined value, the fifth predetermined value, the sixth predetermined value threshold, etc. according to the embodiments of the present disclosure can all be determined according to the load of the wind turbine generator and the self-characteristics of the first elastic support. In addition, these thresholds can all be empirical values.

[0082] As needed, thresholds of different magnitudes can be set to determine displacement deviation faults of different degrees. In addition, it is also possible to judge whether there is vortex-induced vibration based on both the first displacement monitoring device and the second displacement monitoring device.

[0083] The fault identification method according to the embodiments of the present disclosure may further include: in the operating state of the wind turbine generator, determining whether there is a vortex-induced vibration fault in the wind turbine generator according to the change trend of the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device.

[0084] As an example, when the first displacement sensor and the second displacement sensor are installed at the same height (for example, both are installed at the upper end or the lower end of the first elastic support torsion arm and the second elastic support torsion arm), in the operating state of the wind turbine generator, the steps of determining whether there is a vortex-induced vibration fault in the wind turbine generator according to the change trend of the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device may include: in the operating state of the wind turbine generator, if the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device have opposite change trends, it is determined that there is a vortex-induced vibration fault in the wind turbine generator.

[0085] Figure 7 FIG. is a graph showing the displacement amounts of two elastic supports monitored by the displacement monitoring device according to the embodiments of the present disclosure and having the same change trend.

[0086] The variation trend of the displacement of the first elastic support monitored by the first displacement monitoring device may correspond to curve G11, and the variation trend of the displacement of the second elastic support monitored by the second displacement monitoring device may correspond to curve G12. Curve G11 and curve G12 may have opposite variation trends.

[0087] As an example, when the first displacement sensor and the second displacement sensor are installed at different heights, during the operation of the wind turbine generator, according to the variation trends of the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device, the steps for determining whether the wind turbine generator has a vortex-induced vibration fault may include: during the operation of the wind turbine generator, if the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device have the same variation trend, it is determined that the wind turbine generator has a vortex-induced vibration fault.

[0088] That is to say, because the first displacement sensor and the second displacement sensor are installed at different heights (for example, installed at the upper and lower ends of the first elastic support torsion arm and the second elastic support torsion arm respectively), when there is no vortex-induced vibration, the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device have opposite variation trends. Due to the existence of vortex-induced vibration, the displacements monitored by the first displacement sensor and the second displacement sensor installed at different heights have the same variation trend.

[0089] Figure 8 It is a graph showing the displacements of two elastic supports monitored by a displacement monitoring device according to an embodiment of the present disclosure, having opposite variation trends.

[0090] The variation trend of the displacement of the first elastic support monitored by the first displacement monitoring device may correspond to curve G11, and the variation trend of the displacement of the second elastic support monitored by the second displacement monitoring device may correspond to curve G12. Curve G11 and curve G12 may have the same variation trend.

[0091] Because the first displacement sensor and the second displacement sensor are installed at different heights, when there is no vortex-induced vibration, the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device have opposite variation trends. Due to the existence of vortex-induced vibration, the displacements monitored by the first displacement sensor and the second displacement sensor installed at different heights have the same variation trend.

[0092] The fault identification method according to the embodiments of the present disclosure has been described above with reference to the accompanying drawings. However, it should be understood that the steps of the present disclosure, the controller can be configured as software, hardware, firmware or any combination of the above for performing specific functions. For example, these steps, the controller can correspond to an application specific integrated circuit, can also correspond to pure software code, and can also correspond to a module combining software and hardware. In addition, one or more functions implemented by these systems or devices can also be uniformly executed by components in a physical entity device (such as a processor, a client or a server, etc.).

[0093] A computer-readable storage medium according to an embodiment of the present disclosure can store a program or instructions, and when the program or instructions are run by a processor, the processor is caused to execute the above-mentioned fault identification method.

[0094] The instructions stored in the above-mentioned computer-readable storage medium can run in an environment deployed in computer devices such as clients, hosts, proxy devices, servers, etc. It should be noted that the instructions can also be used to execute additional steps other than the above steps or perform more specific processing when executing the above steps. The content of these additional steps and further processing has been mentioned in the description of the related method with reference to the accompanying drawings, so it will not be repeated here to avoid redundancy.

[0095] It should be noted that the control method according to the embodiments of the present disclosure can fully rely on the running of computer programs or instructions to implement corresponding functions, that is, each device corresponds to each step in the functional architecture of the computer program, so that the entire system is called through a special software package (such as a lib library) to implement corresponding functions.

[0096] On the other hand, when each step shown in the accompanying drawings is implemented by software, firmware, middleware or microcode, the program code or code segment for performing the corresponding operation can be stored in a computer-readable medium such as a storage medium, so that at least one processor or at least one computing device can execute the corresponding operation by reading and running the corresponding program code or code segment. In addition, when the computer-readable medium or storage medium is executed by the processor, the processor is caused to execute the above-mentioned fault identification method.

[0097] For example, according to an exemplary embodiment of the present disclosure, a computer device including a readable medium storing computer program instructions can be provided, wherein when the instructions are run by at least one computing device, at least one computing device is caused to execute at least one of the above steps.

[0098] According to an embodiment of the present disclosure, a controller for a wind turbine generator is provided. The controller can include a processor and a memory. The memory stores a program or instructions, and when the program or instructions are executed by the processor, the above-mentioned fault identification method is executed.

[0099] The fault identification method according to an embodiment of the present disclosure can accurately identify various types of faults based on a displacement monitoring device.

[0100] The fault identification method according to an embodiment of the present disclosure can identify various faults such as calibration deviation, displacement deviation, data overrun, data hold, etc.

[0101] The fault identification method according to an embodiment of the present disclosure can provide failure protection for the elastic support member.

[0102] The fault identification method according to an embodiment of the present disclosure can provide failure protection for the displacement monitoring device.

[0103] The fault identification method according to an embodiment of the present disclosure can identify whether there is vortex-induced vibration in the wind turbine generator set.

Claims

1. A fault identification method based on a displacement monitoring device, characterized in that, The displacement monitoring device includes a first displacement monitoring device for monitoring the displacement of a first elastic support of a gearbox of a wind turbine. The first displacement monitoring device includes a first displacement sensor including a first sensor body and a first induction sheet. The fault identification method includes: In a shutdown state of the wind turbine, in response to the displacement of the first elastic support monitored by the first displacement monitoring device being greater than a first predetermined value or less than a second predetermined value and lasting for at least a first preset time, it is determined that the first displacement monitoring device has a calibration deviation. Wherein, the first predetermined value is greater than the calibration distance between the first sensor body and the first induction sheet during the commissioning stage of the wind turbine, and the second predetermined value is less than the calibration distance.

2. The fault identification method based on a displacement monitoring device according to claim 1, wherein The fault identification method further includes: In an operating state of the wind turbine, in response to the displacement of the first elastic support monitored by the first displacement monitoring device remaining constant and lasting for at least a second preset time, it is determined that the first displacement monitoring device has a data holding fault or a measurement overrun fault. Wherein, the second preset time is greater than the first preset time.

3. The fault identification method based on the displacement monitoring device according to claim 2, characterized in that, In the operating state of the wind turbine, the step of determining that the displacement monitoring device has a data holding fault or a measurement overrun fault in response to the displacement of the first elastic support monitored by the first displacement monitoring device remaining constant and lasting for at least a second preset time includes: In the operating state of the wind turbine, in response to the displacement of the first elastic support monitored by the first displacement monitoring device satisfying a first condition and lasting for at least the second preset time, it is determined that the first displacement monitoring device has a data holding fault. Wherein, the first condition includes: the displacement remains at a value between the displacement monitoring lower limit value and the displacement monitoring upper limit value of the first displacement monitoring device, or the displacement remains zero.

4. The fault identification method based on the displacement monitoring device according to claim 2, wherein, In the operating state of the wind turbine, the step of determining that the first displacement monitoring device has a data holding fault or a measurement overrun fault in response to the displacement of the first elastic support monitored by the first displacement monitoring device remaining constant and lasting for at least a second preset time includes: In the operating state of the wind turbine, in response to the displacement of the first elastic support monitored by the first displacement monitoring device remaining at the displacement monitoring upper limit value or the displacement monitoring lower limit value of the first displacement monitoring device and lasting for at least the second preset time, it is determined that the first displacement monitoring device has a measurement overrun fault.

5. The fault identification method based on a displacement monitoring device according to claim 1, wherein The first displacement monitoring device further includes a first monitoring circuit. The first monitoring circuit is electrically connected to the first displacement sensor and converts the received electrical signal into the displacement of the first elastic support. The fault identification method further includes: In response to the amplitude of the received electrical signal being greater than the monitoring upper limit value of the first displacement sensor or less than the monitoring lower limit value of the first displacement sensor and lasting for at least a second preset time, it is determined that the first displacement monitoring device has a data overrun fault.

6. The fault identification method based on a displacement monitoring device according to any one of claims 1 to 5, characterized in that The fault identification method further includes: In the operating state of the wind turbine generator set, in response to the displacement of the first elastic support monitored by the first displacement monitoring device being greater than a third predetermined value or less than a fourth predetermined value, and lasting for at least a third preset time, it is determined that the first elastic support has a displacement deviation fault of a first degree, where the third preset time is less than the first preset time, the third predetermined value is greater than the first predetermined value, and the fourth predetermined value is less than the second predetermined value; In the operating state of the wind turbine generator set, in response to the displacement of the first elastic support monitored by the first displacement monitoring device being greater than a fifth predetermined value or less than a sixth predetermined value, and lasting for at least the third preset time, it is determined that the first elastic support has a displacement deviation fault of a second degree, where the fifth predetermined value is greater than the third predetermined value, the sixth predetermined value is less than the fourth predetermined value, and the second degree is greater than the first degree.

7. The fault identification method based on the displacement monitoring device according to claim 6, characterized in that The first predetermined value, the second predetermined value, the third predetermined value, the fourth predetermined value, the fifth predetermined value, and the sixth predetermined value thresholds are determined according to the load of the wind turbine generator set and the self-characteristics of the first elastic support.

8. The fault identification method based on a displacement monitoring device according to claim 1, wherein The displacement monitoring device further includes a second displacement monitoring device for monitoring the displacement of a second elastic support of the gearbox of the wind turbine generator set. The second displacement monitoring device includes a second displacement sensor including a second sensor body and a second induction sheet. The first elastic support and the second elastic support are installed on both sides of the gearbox. The fault identification method further includes: in the operating state of the wind turbine generator set, determining whether the wind turbine generator set has a vortex-induced vibration fault according to the change trend of the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device.

9. The fault identification method based on a displacement monitoring device according to claim 8, wherein The first displacement sensor and the second displacement sensor are installed at the same height. In the operating state of the wind turbine generator set, the steps of determining whether the wind turbine generator set has a vortex-induced vibration fault according to the change trend of the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device include: In the operating state of the wind turbine generator set, in response to the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device having opposite change trends, it is determined that the wind turbine generator set has a vortex-induced vibration fault.

10. The fault identification method based on a displacement monitoring device according to claim 8, wherein The first displacement sensor and the second displacement sensor are installed at different heights. In the operating state of the wind turbine generator set, the steps of determining whether the wind turbine generator set has a vortex-induced vibration fault according to the change trend of the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device include: In the operating state of the wind turbine generator set, in response to the displacement of the second elastic support monitored by the second displacement monitoring device and the displacement of the first elastic support monitored by the first displacement monitoring device having the same change trend, it is determined that the wind turbine generator set has a vortex-induced vibration fault.

11. The fault identification method based on the displacement monitoring device according to claim 8, characterized in that, The first induction piece is arranged on the torsion arm of the support frame of the first elastic support, the second induction piece is arranged on the torsion arm of the support frame of the second elastic support, the first sensor body is arranged on the machine base of the first elastic support, and the second sensor body is arranged on the machine base of the second elastic support.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program or instruction, and when the program or instruction is run by a processor, it causes the processor to execute the fault identification method according to any one of claims 1 to 11.

13. A controller of a wind turbine generator, characterized in that, It includes a processor and a memory, the memory stores a program or instruction, and when the program or instruction is run by the processor, it causes the processor to execute the fault identification method according to any one of claims 1 to 11.

14. A wind turbine generator, characterized in that, It includes the controller according to claim 13.

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