CN112594141B - Bearing fault monitoring method, system, device, controller and storage medium - Google Patents

Bearing fault monitoring method, system, device, controller and storage medium Download PDF

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Publication number
CN112594141B
CN112594141B CN202011265224.7A CN202011265224A CN112594141B CN 112594141 B CN112594141 B CN 112594141B CN 202011265224 A CN202011265224 A CN 202011265224A CN 112594141 B CN112594141 B CN 112594141B
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bearing
starting torque
generating set
target
wind generating
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CN112594141A (en
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江容
钟慧超
杨勇
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Jiangsu Jinfeng Software Technology Co ltd
Beijing Goldwind Smart Energy Service Co Ltd
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Jiangsu Jinfeng Software Technology Co ltd
Beijing Goldwind Smart Energy Service Co Ltd
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
    • F03D80/70—Bearing or lubricating arrangements
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction

Abstract

The embodiment of the application provides a fault monitoring method, a fault monitoring system, a fault monitoring device, a fault monitoring controller and a storage medium for a bearing, wherein the fault monitoring method, the fault monitoring system, the fault monitoring device, the fault monitoring controller and the storage medium are applied to a wind generating set, the bearing is arranged between a hub of the wind generating set and a main shaft of a generator, and the method comprises the following steps: acquiring first operation data of the wind generating set in a target state; calculating a first starting torque of the wind generating set according to the first operation data; when the first starting torque is not matched with the second starting torque, determining that the bearing is in fault; and the second starting torque is the starting torque when the wind generating set is in the target state and the bearing is not in fault. According to the method and the device, whether the bearing is in fault or not is determined through the first starting torque, and the first operation data used for calculating the first starting torque can be obtained through original equipment on the wind generating set, so that additional hardware equipment is not needed, and the cost of the wind generating set is saved.

Description

Bearing fault monitoring method, system, device, controller and storage medium
Technical Field
The application belongs to the technical field of wind generating sets, and particularly relates to a fault monitoring method, a fault monitoring system, a fault monitoring device, a fault monitoring controller and a storage medium for a bearing.
Background
With the development of wind power generation technology, wind power is a new energy, and the proportion of the wind power in the power market is continuously increased. The wind generating set is a core device of wind power generation, and can convert wind energy into mechanical energy and then convert the mechanical energy into electric energy.
The generator bearing (bearing for short) is an important component of a wind generating set, and is usually arranged between a hub of the wind generating set and a main shaft of a generator, and transmits mechanical energy generated by blades to the generator under the combined action of the generator bearing and other connecting pieces. Therefore, the quality of the operation of the bearing is important for the wind turbine generator system, so that it is necessary to monitor the condition of the bearing.
However, the existing fault monitoring scheme for the bearing generally requires additional hardware equipment to be arranged on the wind generating set to monitor the state of the bearing, and has the technical problems of high cost and complex installation.
Disclosure of Invention
The embodiment of the application provides a fault monitoring method, a fault monitoring system, a fault monitoring device, a fault monitoring controller and a storage medium for a bearing, and can solve the technical problems of high cost and complex installation in the process of monitoring the state of the bearing in the prior art.
In a first aspect, an embodiment of the present application provides a fault monitoring method for a bearing, which is applied to a wind turbine generator system, where the wind turbine generator system includes a hub and a generator, the bearing is disposed between the hub and a main shaft of the generator, and the method includes:
acquiring first operation data of the wind generating set in a target state;
calculating a first starting torque of the wind generating set according to the first operation data;
determining that the bearing is malfunctioning when the first starting torque does not match the second starting torque; and the second starting torque is the starting torque when the wind generating set is in the target state and the bearing is not in fault.
In one embodiment, when the target state is a standby state, before the acquiring the first operation data of the wind turbine generator set in the target state, the method further includes:
acquiring historical operating data of the wind generating set when the bearing does not break down within a first time period;
screening out first historical operation data of the wind generating set in a standby state from the historical operation data;
determining the second starting torque according to the first historical operating data.
In one embodiment, the historical operating data comprises target parameters of the wind turbine generator set, the target parameters comprising at least a first pitch angle;
screening out first historical operation data of the wind generating set in a standby state from the historical operation data, and specifically comprising the following steps of:
according to a first preset time length and a first step length, attributing historical operation data when the bearing does not break down in the first time period to corresponding time windows to obtain M time windows; each time window comprises historical operating data at a plurality of moments, and M is a positive integer;
respectively calculating the mean value of the target parameters and the variable quantity of the first variable pitch angle in the historical operating data of each time window;
screening out historical operating data of the time window meeting preset conditions as the first historical operating data;
wherein the preset conditions include: the mean value of the target parameter is within a preset range, and the variation of the first variable pitch angle is zero.
In one embodiment, the historical operating data further includes a first atmospheric density and a position and chord length at each tangent plane of a blade of the wind turbine generator set; the target parameter further comprises a first incoming flow wind speed;
the determining the second starting torque according to the first historical operating data specifically includes:
determining target historical operating data from the first historical operating data according to the average value of the first incoming flow wind speed; the target historical operating data is first historical operating data corresponding to the mean value of the first incoming flow wind speed with the largest numerical value in the time window meeting the preset condition;
determining a first lift coefficient according to the average value of the first variable pitch angle in the target historical operation data;
and determining the second starting torque according to the mean value of the first incoming flow wind speed, the first lift coefficient, the first atmospheric density and the position and the chord length of each tangent plane of the blade in the target historical operation data.
In one embodiment, the first operational data includes: a second incoming wind speed, a second pitch angle, a second atmospheric density, and a position and a chord length of each tangent plane of a blade of the wind generating set;
calculating a first starting torque of the wind generating set according to the first operation data, which specifically comprises:
determining a second lift coefficient according to the second variable pitch angle;
and determining the first starting torque according to the second incoming wind speed, the second lift coefficient, the second atmospheric density and the position and chord length of each tangent plane of the blade.
In one embodiment, after said determining that said bearing is malfunctioning, said method further comprises:
and outputting a target control strategy corresponding to the fault monitoring result according to the fault monitoring result of the bearing.
In one embodiment, after said determining that said bearing is malfunctioning, said method further comprises:
and sending a fault monitoring result of the bearing and target information representing the first starting torque to a target device.
In a second aspect, an embodiment of the present application provides a fault monitoring device for a bearing, which is applied to a wind generating set, the wind generating set includes a hub and a generator, the bearing set up in the hub with between a main shaft of the generator, the device includes:
the acquisition module is used for acquiring first operating data of the wind generating set in a target state;
the calculation module is used for calculating a first starting torque of the wind generating set according to the first operation data;
the determining module is used for determining that the bearing is in fault when the first starting torque is not matched with the second starting torque; and the second starting torque is the starting torque when the wind generating set is in the target state and the bearing is not in fault.
In a third aspect, an embodiment of the present application provides a controller of a wind turbine generator system, where the controller includes: comprising a processor, a memory and a computer program stored on said memory and executable on said processor, said computer program realizing the steps of the method for fault monitoring of a bearing as provided in the first aspect when executed by said processor.
In a fourth aspect, an embodiment of the present application provides a fault monitoring system for a bearing, which is applied to a wind turbine generator system, and the system includes:
a controller of a wind turbine generator system provided in the third aspect; and
and the communication device is in communication connection with the controller and is used for sending a fault monitoring result of the bearing and target information representing the first starting torque magnitude of the bearing to target equipment in the case that the bearing has a fault.
In a fifth aspect, the present application provides a storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the fault monitoring method for a bearing provided in the first aspect.
According to the fault monitoring method, the fault monitoring system, the fault monitoring device, the fault monitoring controller and the fault monitoring storage medium of the bearing, first operation data of the wind generating set in a target state are obtained; then calculating a first starting torque of the wind generating set according to the first operation data; when the first starting torque is not matched with the second starting torque, determining that the bearing is in fault; and the second starting torque is the starting torque when the wind generating set is in the target state and the bearing is not in fault. According to the method and the device, whether the bearing is in fault or not is determined through the first starting torque, and the first operation data used for calculating the first starting torque can be obtained through original equipment on the wind generating set, so that additional hardware equipment is not needed, and the cost of the wind generating set is saved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 shows a schematic view of an airfoil configuration;
FIG. 2 shows a force diagram of a micro-segment airfoil profile of a fan blade;
FIG. 3 is a schematic flow chart of a fault monitoring method for a bearing provided by an embodiment of the present application;
FIG. 4 is a schematic flow chart illustrating the determination of a second starting torque in the fault monitoring method for a bearing according to the embodiment of the present application;
FIG. 5 is a schematic structural diagram of a fault monitoring device for a bearing provided in an embodiment of the present application;
fig. 6 is a hardware structure schematic diagram of a controller of a wind turbine generator system according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Before the embodiments of the present application are explained, in order to facilitate understanding of the embodiments of the present application, the following first explains the terms related to the embodiments of the present application.
Starting wind speed: and in a standby state, the fan starts to rotate from a static state at the required minimum wind speed.
Starting torque: the fan impeller starts to rotate from a static state under the action of starting wind speed.
The variable pitch angle is as follows: the angle between the fan blades and the plane of rotation is also called pitch angle.
Wind angle: the included angle between the fan blade and the wind direction.
For the wind posture: the included angle between the fan and the wind direction is 0, the wind sweeping area of the fan is the largest at the moment, and the absorbed wind energy is the largest.
Static friction torque extreme value of the wind generating set: and the static friction maximum torque of the transmission chain system of the fan in the standby state.
With the development of wind power generation technology, wind power is a new energy, and the proportion of the wind power in the power market is continuously increased. A wind generating set (a fan for short) is a core device for wind power generation, and can convert wind energy into mechanical energy and then convert the mechanical energy into electric energy.
The drive chain system is an important component in the wind generating set, comprises a hub, a gear box, a generator bearing and other parts, and is mainly responsible for transmitting mechanical energy generated by the blades to the generator. Therefore, whether the transmission chain system can normally operate is crucial to the wind generating set, and whether the wind generating set can normally generate electricity is directly influenced. Generally speaking, the failure of the drive chain system is mainly concentrated on the generator bearing, that is, the failure of the drive chain system is mainly caused by the failure of the generator bearing, for example, the generator bearing is worn and corroded. Therefore, in order to ensure that the wind turbine generator system can generate electricity normally, it is necessary to monitor the state of the generator bearing.
At present, the scheme of usually taking is that the state of installing the sensor additional on the generator bearing and coming real-time supervision generator bearing specifically through the vibration signal that produces when setting up the vibration of high frequency vibration sensor collection generator bearing, converts vibration signal into vibration frequency spectrum again, judges whether the generator bearing breaks down through the analysis to vibration frequency spectrum afterwards. The other scheme is that an automatic lubricating system comprising an oil tank and an oil pipe is additionally arranged on the generator bearing, so that the generator bearing is kept in a good lubricating state, and the occurrence of generator bearing faults is reduced.
After studying the currently adopted scheme, the inventor finds that the existing fault monitoring scheme of the bearing at least has the following technical problems:
1) signal interference exists in the process of collecting the vibration signals, for example, the vibration signals in a low rotating speed interval of the fan are interfered by the vibration of the inherent frequency in the fan, and the vibration signals in a high rotating speed interval of the fan are interfered by other electrical signals, so that the interference signals are mixed in the collected vibration signals, and the final monitoring result of the generator bearing is inaccurate;
2) additional hardware equipment such as a sensor and the like needs to be additionally arranged on the existing fan, so that the cost of the wind driven generator is increased;
3) the state of the generator bearing can be monitored only when the fan is in a grid-connected stage, and the state of the generator bearing cannot be monitored in a standby stage and a shutdown stage of the fan;
4) because the fan is often in a non-steady operation state, it is difficult to use a uniform standard to judge whether the generator bearing has a fault when analyzing the vibration frequency spectrum, and the correct judgment can be made only by depending on professional technical knowledge and operation and maintenance experience.
The other scheme of additionally arranging the automatic lubricating system on the generator bearing only enables the generator bearing to keep a good lubricating state, and cannot realize the state monitoring of the generator bearing.
Aiming at the technical problems in the prior art, the inventor considers whether the bearing fails or not under the condition that hardware equipment such as an additional sensor is not additionally arranged, namely whether the bearing fails or not is judged by utilizing the operation data acquired by the fan. Finally, through research of the inventor, the technical scheme that whether the bearing fails or not can be judged without additionally arranging additional hardware equipment is obtained. The specific research process is as follows:
considering that the blade of the fan is usually in an airfoil structure, the blade of the fan conforms to the aerodynamic principle. Fig. 1 shows a schematic view of an airfoil configuration. Fig. 2 shows a force diagram of a micro-segment airfoil profile of a fan blade.
As shown in fig. 1 and 2, according to the aerodynamic principle, the force dY applied in the rotation direction of the blade should satisfy the following expression:
dY＝0.5ρCyV2Bidri (1)
where ρ represents the atmospheric density at that moment; cyRepresenting the lift coefficient at that moment; v represents the incoming wind speed; r isiAnd BiRespectively representing the position and the chord length of the ith tangent plane of the blade; dY and driD in (1) represents a differential operator.
The expression of the torque of the vane micro-segment to the center of the fan impeller is as follows:
dMq＝ridY＝0.5ρCyV2Biridri (2)
where Mq denotes a starting torque of the fan, and d denotes a differential operator.
According to the expression (2), the expression of the starting torque Mq of the fan impeller under the action of the incoming flow wind speed V can be obtained as follows:
Mq＝3∫dMq＝∑1.5ρCyV2BiriΔri (3)
Cy＝1.15sin2α (4)
where Δ denotes an integration operator, α denotes an angle of attack at the i-th tangential plane of the blade, α is 90 ° - θ, and θ is θ0+θ1；θ0、θ1Respectively, a torque angle and a pitch angle at the ith tangent plane of the blade, wherein the pitch angle may also be referred to as a pitch angle.
The inventor finds that the rotating torque of the generator is very small in the process from a static standby state to the beginning of rotation of the fan impeller, namely the starting torque mainly comprises the static friction torque of a transmission chain system and the eccentric torque of the impeller.
When the fan impeller is static, the static friction torque of the transmission chain system is mainly the friction torque generated by the radial bearing reaction force of the gravity of the rotating part acting on the supporting bearing. The expression for the static friction torque of the drive train system is as follows:
Mk1＝Mka+Mkb (5)
Mka＝μ·Na·d’/2，Mkb＝μ·Nb·d’/8 (6)
wherein MkaIndicating the friction torque, Mk, of the impeller spindle support bearingbFriction moment, Mk, of the inner support bearing of the gearbox1、MkaAnd MkbThe unit of (c) may be, for example, kilonewton meters (KNm); n is a radical ofaIndicating the reaction force of the impeller spindle support bearing, NbThe bearing reaction force of the support bearing in the speed increasing box is shown, mu represents the friction coefficient of the bearing, and d' represents the pitch diameter of the bearing.
The eccentric torque of the impeller is mainly determined by the mutual difference between the mass of the blade and the axial mass center of the blade, wherein the expression of the maximum eccentric moment of the three-blade impeller is as follows:
Figure BDA0002775861930000081
wherein
Figure BDA0002775861930000082
emTo representThe maximum eccentricity of the three-bladed impeller,
Figure BDA0002775861930000083
the axial centroids of the blades are mutually different, G represents the mass of the blades, and G represents the gravity acceleration.
Assuming that the torque required for starting the impeller is Mk in a normal condition, Mk satisfies the following expression:
Mq＝Mk＝Mk1+Mk2 (8)
as can be derived from the above expressions (2) to (8), the relational expression between the bearing friction coefficient μ and the starting torque Mq is:
Figure BDA0002775861930000084
the eccentric torque of the impeller is mainly related to the mutual difference of the axial centroids of the blades, and is determined by the structure of the impeller, and the eccentric condition of the impeller is less caused by faults such as blade breakage and the like, so that when the starting torque is far larger than that of daily operation under the condition of good wind, the starting torque is probably caused by the static friction torque of a transmission chain system, which shows that the transmission chain system possibly has faults such as abrasion, corrosion and the like under the condition, and most of the transmission chain system has faults of a generator bearing.
As can be seen from the above expression (9), the bearing friction coefficient μ is in direct proportion to the starting torque Mq, i.e., the larger the bearing friction coefficient μ, the larger the starting torque Mq. When the starting torque Mq exceeds a normal threshold value and the fan is not started yet, the situation is very likely to be caused by the overlarge friction coefficient mu of the bearing, namely the bearing is in failure.
Based on the above research findings of the present inventors, embodiments of the present application provide a method, a system, a device, a controller, and a storage medium for monitoring a fault of a bearing.
The technical idea of the embodiment of the application is as follows: firstly, acquiring operation data of a fan, and then calculating a first starting torque of the fan according to the operation data of the fan; and when the first starting torque is not matched with the second starting torque under the normal condition of the fan, determining that the bearing is in fault.
First, a method for monitoring a fault of a bearing provided in an embodiment of the present application is described below.
Fig. 3 shows a schematic flow chart of a fault monitoring method for a bearing according to an embodiment of the present application. As shown in fig. 3, the method may include the steps of:
s101, first operation data of the wind generating set in a target state are obtained.
In the embodiment of the application, the working state of the wind generating set can comprise a standby state, a grid-connected state and a shutdown state. The target state is understood here as a standby state.
In an embodiment of the present application, the first operation data may include: the second incoming wind speed, the second pitch angle, the second air density and the position and chord length of each tangent plane of the blade of the wind generating set. For example, when the starting torque of the fan at the current moment needs to be calculated, the acquired first operation data may include, for example: the wind speed of incoming flow at the current moment, the pitch angle at the current moment, the atmospheric density at the current moment, and the position and the chord length of each tangent plane of the fan blade.
In practical applications, each data in the first operation data may be acquired by, for example, an original monitoring device or a monitoring system on the wind turbine generator system. In some embodiments, the original monitoring device or monitoring system may include, for example: a Data Acquisition And monitoring Control System (SCADA System for short) installed in the wind generating set. Specifically, for example, the first operation data is acquired through the SCADA system, and for example, the incoming wind speed at the current moment, the pitch angle at the current moment, the atmospheric density at the current moment, and the position and the chord length of each tangent plane of the fan blade may be acquired.
And S102, calculating a first starting torque of the wind generating set according to the first operation data.
The specific calculation process of S102 can be seen in expressions (3) and (4) above, for example.
First, as shown in the above expression (4), a second lift coefficient C may be determined according to the second pitch angley；
Then, as shown in the above expression (3), the first starting torque may be determined based on the second incoming wind speed, the second lift coefficient, the second atmospheric density, and the position and the chord length at each tangential plane of the blade. The specific process is described above and will not be described herein.
According to the embodiment of the application, the starting torque is calculated according to the incoming flow wind speed and the variable pitch angle, and signal interference does not exist in the acquisition process of the running data such as the incoming flow wind speed, the variable pitch angle and the like, so that the monitoring accuracy of the bearing fault can be ensured when the bearing fault is monitored according to the starting torque.
And S103, when the first starting torque is not matched with the second starting torque, determining that the bearing is in fault.
In the embodiment of the application, the second starting torque is the starting torque when the wind generating set is in the target state and the bearing is not in fault. That is, in S103, the calculated first startup torque is compared or matched with the second startup torque of the fan when the bearing is not in failure, and when the first startup torque does not match with the second startup torque, it is determined that the bearing is in failure. Therefore, whether the finally obtained judgment result of the bearing fault is accurate or not can be seen, and one of the most critical factors is whether the second starting torque is accurate or not.
Compared with the mode of setting the second starting torque through the technical experience of a person, in order to guarantee the accuracy of bearing fault monitoring to the maximum extent, the embodiment of the application determines the second starting torque through the following mode: firstly, a large amount of historical operating data of the fan is collected, then optimal target historical operating data are screened out from the large amount of historical operating data, and the second starting torque is calculated according to the target historical operating data, so that the accuracy of the second starting torque is guaranteed. As shown in fig. 4, before executing S101, the method may further include the following steps:
s201, historical operation data of the wind generating set when the bearing does not break down in a first time period are obtained. As an example, the first time period may be flexibly set according to actual situations, and the application is not limited thereto. However, in order to obtain a sufficient amount of historical operating data, the length of the first time period is set to be not excessively small, and may be set to one month, for example.
In particular to practical applications, when S201 is executed, for example, historical operating data of the fan when the bearing has not failed in the first period of time may be retrieved from a database associated with the fan. In an embodiment of the present application, the historical operating data may include: the target parameters of the wind generating set, the first atmospheric density and the position and the chord length of each tangent plane of the blade of the wind generating set. The target parameters of the wind generating set may in turn comprise a first incoming wind speed, a first pitch angle, a first wind angle and a first impeller rotational speed. In some embodiments, for example, historical operating data may be obtained by collecting operating data of the wind turbine over a historical period of time by the SCADA system, then the historical operating data may be saved to a database associated with the wind turbine, and the historical operating data may be retrieved from the database when the historical operating data is used.
S202, screening out first historical operation data of the wind generating set in a standby state from the historical operation data.
Specifically, parameters of the wind generating set in the standby state are known, for example, when the fan is in the standby state, the pitch angle is between 40 ° and 60 °, the wind angle is between-10 ° and 10 °, the variation of the pitch angle is 0, and the rotation speed of the impeller is 0. Then, a screening condition may be set according to the known parameters, and a first historical operating data of the wind turbine generator set in a standby state may be screened from the plurality of historical operating data through the screening condition.
Historical operating data is typically data for a long period of time, such as the past month. In contrast, the time of the fan in the standby state is very short, for example, only a few minutes, i.e., the time between each time the fan is stationary and starts to rotate may only be a few minutes. Then, how to accurately filter out the first historical operating data with a shorter time from the historical operating data with a long time. As an embodiment, S202 specifically includes the following steps:
firstly, according to a first preset duration and a first step length, attributing historical operation data when a bearing does not fail in a first time period to corresponding time windows to obtain M time windows; each time window comprises historical operating data of a plurality of moments, and M is a positive integer.
Both the first preset time period and the first step length can be flexibly set according to actual conditions, the application is not limited to this, and as an example, the first preset time period may be set to 180 seconds, for example, the first step length may be set to 60 seconds.
In the embodiment of the present application, historical operating data of one month may be split into N historical operating data of a first preset duration by the first preset duration, for example, where the first preset duration is consistent with the duration of the standby state. Therefore, historical operating data meeting the conditions can be screened from the N pieces of historical operating data through the screening conditions, and the historical operating data meeting the conditions can be used as the first historical operating data of the wind generating set in the standby state.
In order to further ensure that more first historical operating data can be obtained and that the first historical operating data are not missed in the screening process, as an example, the first step length is further introduced in the embodiment of the application. When the first step length is not introduced, historical operation data are assigned to 0-3 minutes, 3-6 minutes, 6-9 minutes and … … only through a first preset time length. After the first step length is introduced, for example, the historical operating data can be assigned to 0-3 minutes, 1-4 minutes, 2-5 minutes, 3-6 minutes, 4-7 minutes, 5-8 minutes, 6-9 minutes, and … …. Therefore, after the first step length is introduced, the historical operation data can be divided more finely through the first preset time length and the first step length, so that the first historical operation data are not omitted during screening to the maximum extent, more sufficient first historical operation data are obtained, and the accuracy of the second starting torque is guaranteed.
After the historical operating data are attributed to the M time windows, next, the mean value of the target parameter and the variation of the first pitch angle in the historical operating data of each time window are respectively calculated.
Specifically, a mean value of the first incoming wind speed of each time window, a mean value of the first pitch angle of each time window, a mean value of the first wind angle of each time window and a mean value of the first impeller rotation speed of each time window are calculated, and the variation of the first pitch angle of each time window is calculated.
Each time window comprises a first incoming wind speed, a first variable pitch angle, a first wind-facing angle and a first impeller rotating speed at a plurality of moments. Then, the mean value of the first incoming flow wind speed in the ith time window may be obtained by calculating the mean value of the first incoming flow wind speeds at multiple times in the ith time window, where i is a positive integer. Similarly, the average value of the first pitch angle of each time window, the average value of the first wind angle of each time window, and the average value of the first impeller rotation speed of each time window may also be obtained in a similar manner.
When the variable quantity of the first pitch angle of the ith time window is calculated, if the first pitch angles of multiple moments in the ith time window are the same, the variable quantity of the first pitch angle of the ith time window is calculated to be 0, otherwise, the variable quantity is not 0.
Then, screening out historical operation data of a time window meeting a preset condition as first historical operation data; wherein the preset conditions include: the mean value of the target parameter is within a preset range, and the variation of the first variable pitch angle is zero.
In particular, for each time window, the following steps are performed:
and judging whether the first variable pitch angle of the time window is within a preset first range. Wherein the preset first range may include, for example, 40 ° to 60 °, to which the present application is not limited.
And judging whether the first convection angle of the time window is within a preset second range. Wherein the preset first range may include, for example, -10 ° to 10 °, and the present application is not limited thereto.
And judging whether the variable quantity of the first variable pitch angle of the time window is 0.
And judging whether the average value of the first impeller rotating speeds in the time window is 0 or not.
And when the first pitch angle of the time window is within a preset first range, the first wind-facing angle of the time window is within a preset second range, the variation of the first pitch angle of the time window is 0, and the mean value of the first impeller rotating speed of the time window is 0, the preset condition is considered to be met. And screening out historical operation data of a time window meeting a preset condition as first historical operation data.
With continued reference to fig. 4, after the first historical operating data is obtained, S203 is executed to determine a second cranking torque based on the first historical operating data. The method specifically comprises the following steps:
the method comprises the following steps of firstly, determining target historical operation data from first historical operation data according to the mean value of the wind speed of a first incoming flow.
The first step aims to determine the optimal target historical operation data from the first historical operation data. Then, in order to ensure the accuracy of the second starting torque, as an example, in the embodiment of the present application, the first historical operating data corresponding to the mean value of the first incoming flow wind speed with the largest value in the time window satisfying the preset condition is used as the target historical operating data. In practical application, the first historical operation data are operation data of the fan in a standby state, and the larger the first incoming wind speed in the standby state is, the closer the first incoming wind speed is to the actual starting wind speed is. Therefore, if the first historical operating data with the largest value in the mean value of the first incoming wind speed is selected to calculate the second starting torque, the second starting torque is calculated to be closest to the actual starting torque when the bearing is not in fault, and the calculated second starting torque is most accurate.
And secondly, determining a first lift coefficient according to the average value of the first variable pitch angle in the target historical operation data.
The specific calculation process of the second step can be seen in expression (4) above, for example, and the mean value of the first pitch angle in the target historical operation data is taken as θ1And substituting the first lift coefficient into the expression (4) for calculation to obtain a first lift coefficient.
And a third step of determining a second starting torque according to the mean value of the first incoming flow wind speed, the first lift coefficient, the first atmospheric density and the position and the chord length of each tangent plane of the blade in the target historical operation data.
The specific calculation process of the third step can be seen in expression (3) above, for example.
Mq＝3∫dMq＝∑1.5ρCyV2BiriΔri (3)
Taking the mean value of the first incoming flow wind speed in the target historical operation data as V, and taking the first lift coefficient as CyThe first atmospheric density is denoted as ρ, and the position and the chord length of each blade tangent plane are denoted as riAnd BiAnd substituting the calculation in the expression (3) to obtain a second starting torque.
Therefore, according to the method and the device, a large amount of historical operating data of the fan are collected firstly, then the optimal target historical operating data are screened out from the large amount of historical operating data, and the second starting torque is calculated according to the target historical operating data, so that the accuracy of the second starting torque is guaranteed.
And after the second starting torque is obtained, comparing or matching the calculated first starting torque with the second starting torque, and determining that the bearing is in fault when the first starting torque is not matched with the second starting torque.
Here, as an example, when the first starting torque does not match the second starting torque, determining that the bearing is in failure may specifically include: for example, when the first starting torque is greater than the second starting torque, it is determined that the bearing is malfunctioning.
In order to eliminate the problem that the monitoring result of the bearing is inaccurate due to a calculation error or other reasons, as another example, when the first starting torque does not match the second starting torque, determining that the bearing is faulty may specifically include:
and when the first starting torque is larger than the second starting torque and the difference value of the first starting torque and the second starting torque is larger than a preset threshold value, determining that the bearing is in fault.
Or, when the first starting torque does not match the second starting torque, determining that the bearing is in fault, specifically, the method may further include:
when such a state where the first starting torque is larger than the second starting torque and the first starting torque is larger than the second starting torque continues for a certain period of time (for example, the first starting torque is calculated a plurality of times in one minute, and the first starting torque is calculated a plurality of times each larger than the second starting torque), it is determined that the bearing is malfunctioning.
Therefore, by adding the judgment condition that the state that the difference value of the first starting torque and the second starting torque is greater than the preset threshold value or the first starting torque is greater than the second starting torque lasts for a period of time, the misjudgment of the bearing monitoring result caused by the calculation error of the first starting torque can be avoided, and the accuracy of bearing monitoring is improved.
In order to avoid the possibility of causing more serious damage to the wind turbine due to the bearing failure, as an example, after determining that the bearing fails, the method of the embodiment of the present application may further include:
and outputting a target control strategy corresponding to the fault monitoring result according to the fault monitoring result of the bearing.
Specifically, when the bearing fails, a target control strategy corresponding to the failure monitoring result may be output according to the severity of the failure monitoring result of the bearing. For example, when the fault monitoring result of the bearing is serious, the instruction for adjusting the pitch angle, the wind angle and/or the wind attitude of the fan can be output, so that the wind sweeping area of the fan is reduced, the fan is prevented from being started, and the fan is prevented from being possibly damaged more seriously when being started.
In order to let a person know the operation condition of the bearing in time, as an example, after determining that the bearing has a fault, the method of the embodiment of the present application may further include:
and sending the fault monitoring result of the bearing and target information representing the magnitude of the first starting torque to the target equipment.
The target device may be, for example, a terminal, a server, or other devices, to which the present application is not limited. Through the fault monitoring result of the bearing and the target information representing the size of the first starting torque sent to the target equipment, relevant personnel can know the severity of the fault of the bearing in time, and then the relevant personnel can formulate a corresponding maintenance strategy according to the severity of the fault of the bearing.
Compared with the scheme of monitoring the bearing in real time when the fan is started in the related technology, the monitoring of the bearing fault can be realized according to the starting torque before the fan is started (in a standby state), the early warning of the bearing fault can be realized, the fan is prevented from being damaged more seriously when being started, and the defects of the real-time state monitoring system of the existing wind generating set are overcome.
Compared with the scheme of judging whether the bearing has a fault through frequency spectrum analysis in the related technology, the method and the device can realize the monitoring of the fault of the bearing according to the starting torque without depending on professional technical knowledge and operation and maintenance experience.
Based on the fault monitoring method for the bearing provided by the embodiment, correspondingly, the application further provides a specific implementation mode of the fault monitoring device for the bearing. Please see the examples below.
The fault monitoring device of bearing that this application embodiment provided is applied to wind generating set, and wind generating set includes wheel hub and generator, and the bearing sets up between the main shaft of wheel hub and generator.
Referring to fig. 5, a fault monitoring apparatus 500 for a bearing provided in an embodiment of the present application may include the following modules:
an obtaining module 501, configured to obtain first operation data of a wind turbine generator system in a target state;
a calculation module 502 for calculating a first starting torque of the wind generating set according to the first operation data;
a determining module 503, configured to determine that the bearing is faulty when the first starting torque does not match the second starting torque; and the second starting torque is the starting torque when the wind generating set is in the target state and the bearing is not in fault.
In some embodiments, the obtaining module 501 may be, for example, a SCADA system installed in the wind turbine generator set, and specifically, for example, obtains the first operation data of the wind turbine generator set in the target state through the SCADA system.
In some embodiments, the calculation module 502 and the determination module 503 may be, for example, functional modules in a processor of the wind turbine generator set, in particular, the steps involved in the calculation module 502 and the determination module 503 are executed by the processor.
According to the fault monitoring device of the bearing, the acquisition module is used for acquiring first operation data of the wind generating set in a target state; the calculation module is used for calculating a first starting torque of the wind generating set according to the first operation data; the determining module is used for determining that the bearing is in fault when the first starting torque is not matched with the second starting torque; and the second starting torque is the starting torque when the wind generating set is in the target state and the bearing is not in fault. According to the method and the device, whether the bearing is in fault or not is determined through the first starting torque, and the first operation data used for calculating the first starting torque can be obtained through original equipment on the wind generating set, so that additional hardware equipment is not needed, and the cost of the wind generating set is saved.
In some embodiments, in order to ensure the accuracy of bearing fault monitoring to the maximum extent, the fault monitoring apparatus 500 of the bearing provided in the embodiments of the present application may further include: the second determining module is used for acquiring historical operating data of the wind generating set when the bearing does not break down within the first time period; screening out first historical operating data of the wind generating set in a standby state from the historical operating data; a second cranking torque is determined based on the first historical operating data. The second determination module may be, for example, a functional module in a processor of the wind turbine generator system, and the steps involved in the second determination module are executed by the processor.
In some embodiments, in order to accurately screen out the first historical operating data of shorter time from the historical operating data of longer time, the historical operating data may include target parameters of the wind turbine generator set, and the target parameters may include at least the first pitch angle. The second determining module is specifically used for attributing historical operating data when the bearing does not fail in the first time period to corresponding time windows according to the first preset time length and the first step length to obtain M time windows; each time window comprises historical operating data at a plurality of moments, and M is a positive integer; respectively calculating the mean value of the target parameters and the variable quantity of the first variable pitch angle in the historical operating data of each time window; screening out historical operating data of a time window meeting a preset condition as first historical operating data; wherein the preset conditions include: the mean value of the target parameter is within a preset range, and the variation of the first variable pitch angle is zero.
In some embodiments, to ensure accuracy of the second starting torque, the historical operating data may further include the position and chord length at each tangent plane of the blades of the wind turbine generator set and the first atmospheric density; the target parameter may also include a first incoming wind speed. The second determining module is specifically used for determining target historical operating data from the first historical operating data according to the mean value of the first incoming flow wind speed; the target historical operating data is first historical operating data corresponding to the mean value of the first incoming flow wind speed with the largest numerical value in a time window meeting preset conditions; determining a first lift coefficient according to the average value of the first variable pitch angle in the target historical operation data; and determining a second starting torque according to the mean value of the first incoming flow wind speed, the first lift coefficient, the first atmospheric density and the position and the chord length of each tangent plane of the blade in the target historical operation data.
In some embodiments, the first operational data may include: the second incoming wind speed, the second pitch angle, the second air density and the position and chord length of each tangent plane of the blade of the wind generating set. The calculating module 502 is specifically configured to determine a second lift coefficient according to the second pitch angle; and determining the first starting torque according to the second incoming wind speed, the second lift coefficient, the second atmospheric density and the position and chord length of each tangent plane of the blade.
In some embodiments, in order to avoid the wind turbine from being damaged more seriously due to the failure of the bearing, the failure monitoring device 500 for the bearing provided by the embodiment of the present application may further include: and the output module is used for outputting a target control strategy corresponding to the fault monitoring result according to the fault monitoring result of the bearing. The output module may be, for example, a functional module in a processor of the wind turbine generator system, and the steps related to the output module are executed by the processor.
In some embodiments, in order to enable a person to know the operation condition of the bearing in time, the fault monitoring apparatus 500 for a bearing provided in the embodiments of the present application may further include: and the sending module is used for sending the fault monitoring result of the bearing and target information representing the magnitude of the first starting torque to the target equipment. In some embodiments, the transmission module may be, for example, a wired transmission module or a wireless transmission module, wherein the wired transmission module may include, for example, an optical fiber transceiver and an optical fiber, and when the transmission module is the wired transmission module, the fault monitoring result of the bearing and the target information representing the magnitude of the first starting torque are transmitted to the target device through the optical fiber transceiver and the optical fiber. The wireless transmission module may include, for example, a transceiver and an antenna, and when the transmission module is the wireless transmission module, the fault monitoring result of the bearing and the target information representing the magnitude of the first starting torque are transmitted to the target device through the transceiver and the antenna.
Each module/unit in the apparatus shown in fig. 5 has a function of implementing each step in fig. 3, and can achieve the corresponding technical effect, and for brevity, no further description is provided herein.
Based on the fault monitoring method for the bearing provided by the embodiment, correspondingly, the application further provides a specific implementation mode of the controller of the wind generating set. Please see the examples below.
Fig. 6 shows a hardware structure schematic diagram of a controller of a wind generating set provided by an embodiment of the application.
The controller of the wind park may comprise a processor 601 and a memory 602 in which computer program instructions are stored.
Specifically, the processor 601 may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement the embodiments of the present Application.
Memory 602 may include mass storage for data or instructions. By way of example, and not limitation, memory 602 may include a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, tape, or Universal Serial Bus (USB) Drive or a combination of two or more of these. In one example, the memory 602 may include removable or non-removable (or fixed) media, or the memory 602 is non-volatile solid-state memory. The memory 602 may be internal or external to the integrated gateway disaster recovery device.
In one example, the Memory 602 may be a Read Only Memory (ROM). In one example, the ROM may be mask programmed ROM, programmable ROM (prom), erasable prom (eprom), electrically erasable prom (eeprom), electrically rewritable ROM (earom), or flash memory, or a combination of two or more of these.
The memory 602 may include Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors), it is operable to perform operations described with reference to the methods according to an aspect of the present disclosure.
The processor 601 reads and executes the computer program instructions stored in the memory 602 to implement the methods/steps S101 to S103 in the embodiment shown in fig. 3, and achieve the corresponding technical effects achieved by the embodiment shown in fig. 3 executing the methods/steps thereof, which are not described herein again for brevity.
In one example, the controller of the wind park may further comprise a communication interface 603 and a bus 610. As shown in fig. 6, the processor 601, the memory 602, and the communication interface 603 are connected via a bus 610 to complete communication therebetween.
The communication interface 603 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application.
Bus 610 includes hardware, software, or both to couple the components of the online data traffic billing device to each other. By way of example, and not limitation, a Bus may include an Accelerated Graphics Port (AGP) or other Graphics Bus, an Enhanced Industry Standard Architecture (EISA) Bus, a Front-Side Bus (Front Side Bus, FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) Bus, an infiniband interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a Micro Channel Architecture (MCA) Bus, a Peripheral Component Interconnect (PCI) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a video electronics standards association local (VLB) Bus, or other suitable Bus or a combination of two or more of these. Bus 610 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
Based on the controller of the wind generating set provided by the embodiment, correspondingly, the application further provides a specific implementation mode of the fault monitoring system of the bearing.
The fault monitoring system of bearing that this application embodiment provided is applied to wind generating set, can include:
the controller of the wind generating set provided by the embodiment of the application; and
and the communication device is in communication connection with the controller and is used for sending a fault monitoring result of the bearing and target information representing the first starting torque magnitude of the bearing to the target equipment in the case of the fault of the bearing.
In addition, in combination with the fault monitoring method for the bearing in the above embodiments, the embodiments of the present application may provide a computer storage medium to implement. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement a method of fault monitoring of a bearing as in any of the above embodiments.
To sum up, according to the fault monitoring method, system, device, controller and storage medium for the bearing in the embodiment of the present application, first operation data of the wind turbine generator system in a target state is obtained; then calculating a first starting torque of the wind generating set according to the first operation data; when the first starting torque is not matched with the second starting torque, determining that the bearing is in fault; and the second starting torque is the starting torque when the wind generating set is in the target state and the bearing is not in fault. According to the method and the device, whether the bearing is in fault or not is determined through the first starting torque, and the first operation data used for calculating the first starting torque can be obtained through original equipment on the wind generating set, so that additional hardware equipment is not needed, and the cost of the wind generating set is saved.
Compared with the scheme of monitoring the bearing in real time when the fan is started in the related technology, the monitoring of the bearing fault can be realized according to the starting torque before the fan is started (in a standby state), the early warning of the bearing fault can be realized, the fan is prevented from being damaged more seriously when being started, and the defects of the real-time state monitoring system of the existing wind generating set are overcome.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic Circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.

Claims (11)

1. A fault monitoring method of a bearing is applied to a wind generating set, the wind generating set comprises a hub and a generator, the bearing is arranged between the hub and a main shaft of the generator, and the method comprises the following steps:
acquiring first operation data of the wind generating set in a target state, wherein the target state is a standby state;
calculating a first starting torque of the wind generating set according to the first operation data;
determining that the bearing is malfunctioning when the first starting torque does not match the second starting torque; and the second starting torque is the starting torque when the wind generating set is in the target state and the bearing is not in fault.
2. The method of claim 1, wherein prior to said obtaining first operational data of the wind park at a target state, the method further comprises:
acquiring historical operating data of the wind generating set when the bearing does not break down within a first time period;
screening out first historical operation data of the wind generating set in a standby state from the historical operation data;
determining the second starting torque according to the first historical operating data.
3. The method of claim 2, wherein the historical operating data includes target parameters of the wind park, the target parameters including at least a first pitch angle;
screening out first historical operation data of the wind generating set in a standby state from the historical operation data, and specifically comprising the following steps of:
according to a first preset time length and a first step length, attributing historical operation data when the bearing does not break down in the first time period to corresponding time windows to obtain M time windows; each time window comprises historical operating data at a plurality of moments, and M is a positive integer;
respectively calculating the mean value of the target parameters and the variable quantity of the first variable pitch angle in the historical operating data of each time window;
screening out historical operating data of the time window meeting preset conditions as the first historical operating data;
wherein the preset conditions include: the mean value of the target parameter is within a preset range, and the variation of the first variable pitch angle is zero.
4. The method of claim 3, wherein the historical operating data further comprises a first atmospheric density and a position and chord length at each tangent plane of a blade of the wind turbine generator set; the target parameter further comprises a first incoming flow wind speed;
the determining the second starting torque according to the first historical operating data specifically includes:
determining target historical operating data from the first historical operating data according to the average value of the first incoming flow wind speed; the target historical operating data is first historical operating data corresponding to the mean value of the first incoming flow wind speed with the largest numerical value in the time window meeting the preset condition;
determining a first lift coefficient according to the average value of the first variable pitch angle in the target historical operation data;
and determining the second starting torque according to the mean value of the first incoming flow wind speed, the first lift coefficient, the first atmospheric density and the position and the chord length of each tangent plane of the blade in the target historical operation data.
5. The method of claim 1, wherein the first operational data comprises: a second incoming flow wind speed, a second variable pitch angle and a second atmospheric density of the wind generating set at the starting time, and positions and chord lengths of all tangent planes of blades of the wind generating set, wherein the starting time is a critical time from shutdown to startup of the wind generating set;
calculating a first starting torque of the wind generating set according to the first operation data, which specifically comprises:
determining a second lift coefficient according to the second variable pitch angle;
and determining the first starting torque according to the second incoming wind speed, the second lift coefficient, the second atmospheric density and the position and chord length of each tangent plane of the blade.
6. The method of claim 1, wherein after said determining that the bearing is malfunctioning, the method further comprises:
and outputting a target control strategy corresponding to the fault monitoring result according to the fault monitoring result of the bearing.
7. The method of claim 1, wherein after said determining that the bearing is malfunctioning, the method further comprises:
and sending a fault monitoring result of the bearing and target information representing the first starting torque to a target device.
8. The utility model provides a fault monitoring device of bearing, its characterized in that is applied to wind generating set, wind generating set includes wheel hub and generator, the bearing set up in wheel hub with between the main shaft of generator, the device includes:
the acquisition module is used for acquiring first operation data of the wind generating set in a target state, wherein the target state is a standby state;
the calculation module is used for calculating a first starting torque of the wind generating set according to the first operation data;
the determining module is used for determining that the bearing is in fault when the first starting torque is not matched with the second starting torque; and the second starting torque is the starting torque when the wind generating set is in the target state and the bearing is not in fault.
9. A controller for a wind turbine generator set, the controller comprising: comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the method of fault monitoring of a bearing according to any of claims 1 to 7.
10. A fault monitoring system for a bearing, applied to a wind turbine generator system, the system comprising:
the controller of claim 9; and
and the communication device is in communication connection with the controller and is used for sending a fault monitoring result of the bearing and target information representing the first starting torque magnitude of the bearing to target equipment in the case that the bearing has a fault.
11. A storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of fault monitoring of a bearing according to any one of claims 1 to 7.
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