WO2018014670A1 - 风力发电机组齿形带疲劳状态的检测方法、装置及系统 - Google Patents

风力发电机组齿形带疲劳状态的检测方法、装置及系统 Download PDF

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Publication number
WO2018014670A1
WO2018014670A1 PCT/CN2017/087646 CN2017087646W WO2018014670A1 WO 2018014670 A1 WO2018014670 A1 WO 2018014670A1 CN 2017087646 W CN2017087646 W CN 2017087646W WO 2018014670 A1 WO2018014670 A1 WO 2018014670A1
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WO
WIPO (PCT)
Prior art keywords
pitch angle
toothed belt
fatigue state
pitch
detecting
Prior art date
Application number
PCT/CN2017/087646
Other languages
English (en)
French (fr)
Inventor
王青天
周杰
孙涛
Original Assignee
北京金风科创风电设备有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京金风科创风电设备有限公司 filed Critical 北京金风科创风电设备有限公司
Priority to AU2017279622A priority Critical patent/AU2017279622B2/en
Priority to ES17811425T priority patent/ES2877143T3/es
Priority to US15/741,802 priority patent/US10995736B2/en
Priority to KR1020187000680A priority patent/KR101993103B1/ko
Priority to EP17811425.2A priority patent/EP3315771B1/en
Publication of WO2018014670A1 publication Critical patent/WO2018014670A1/zh

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Classifications

    • 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
    • F03D7/00—Controlling wind motors 
    • F03D7/02—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/022—Adjusting aerodynamic properties of the blades
    • F03D7/0224—Adjusting blade pitch
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16H—GEARING
    • F16H57/00—General details of gearing
    • F16H57/01—Monitoring wear or stress of gearing elements, e.g. for triggering maintenance
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/22—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring angles or tapers; for testing the alignment of axes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/02—Gearings; Transmission mechanisms
    • G01M13/023—Power-transmitting endless elements, e.g. belts or chains
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2260/00—Function
    • F05B2260/40—Transmission of power
    • F05B2260/402—Transmission of power through friction drives
    • F05B2260/4021—Transmission of power through friction drives through belt drives
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2260/00—Function
    • F05B2260/40—Transmission of power
    • F05B2260/403—Transmission of power through the shape of the drive components
    • F05B2260/4031—Transmission of power through the shape of the drive components as in toothed gearing
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2260/00—Function
    • F05B2260/70—Adjusting of angle of incidence or attack of rotating blades
    • F05B2260/79—Bearing, support or actuation arrangements therefor
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2260/00—Function
    • F05B2260/80—Diagnostics
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16H—GEARING
    • F16H57/00—General details of gearing
    • F16H57/01—Monitoring wear or stress of gearing elements, e.g. for triggering maintenance
    • F16H2057/012—Monitoring wear or stress of gearing elements, e.g. for triggering maintenance of gearings
    • 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

Definitions

  • the present application relates to the field of wind power generation technology, and more particularly, to a method, device and system for detecting a fatigue state of a wind turbine toothed belt.
  • Wind turbines convert wind energy into electricity for power generation.
  • the unit needs to be pitched to achieve constant speed control after reaching the full state.
  • the pitch system drives the pitch belt to drive the pitch bearing through the pitch motor to change the wind angle of the blade to achieve pitching.
  • the toothed belt as the transmission mechanism of the wind turbine pitch system, is subjected to very severe fatigue loads and alternating loads under the long-term pitching requirements of the unit. If the toothed belt breaks or fails, the blade will be out of control, posing a serious threat to the safety of the unit. Therefore, it is necessary to test the toothed belt to give a risk warning before it breaks or fails, and to ensure the safe operation of the unit.
  • the present application provides a method for detecting a fatigue state of a toothed belt of a wind power generator for low-cost detection of a fatigue state of an in-service toothed belt.
  • the present application also provides a device and system for detecting a fatigue state of a toothed belt of a wind power generator to ensure the application and implementation of the method in practice.
  • a method for detecting a fatigue state of a toothed belt of a wind power generator includes:
  • Characteristic statistics are performed on the selected pitch angle to obtain feature statistics
  • Whether the toothed belt is in a fatigue state is determined by comparing the characteristic statistical value with a preset threshold.
  • a device for detecting fatigue state of a toothed belt of a wind power generator comprises:
  • a pitch angle acquisition unit for obtaining a pitch angle that meets a preset condition
  • a signal feature value acquiring unit configured to acquire a signal feature value corresponding to the pitch angle
  • a feature statistical value calculation unit configured to acquire timing according to the signal feature value, select a pitch angle in which the signal feature value changes in the pitch angle, perform feature statistics on the selected pitch angle, and obtain a feature statistical value
  • the fatigue judging unit is configured to determine whether the toothed belt is in a fatigue state by comparing the characteristic statistical value with a preset threshold.
  • a detection system for a fatigue state of a toothed belt of a wind turbine generator set comprising: a sensor, a proximity switch, and a detecting device for a fatigue state of the toothed belt of any one of the wind power generators;
  • the sensor is configured to send a pitch angle detected in real time to the detecting device of the fatigue state of the toothed belt of any one of the above wind turbines;
  • the proximity switch is configured to feed back a signal characteristic value corresponding to a pitch angle that meets a preset condition to the detecting device of the fatigue state of the toothed belt of any one of the above wind turbines.
  • Embodiment 1 is a flow chart of Embodiment 1 of a method for detecting a fatigue state of a toothed belt of a wind power generator provided by the present application;
  • FIG. 2 is a schematic diagram of a level signal of a proximity switch feedback provided by the present application.
  • FIG. 3A is a schematic view showing the distribution of the reversal angle in the pitch angle in the abnormal state provided by the present application;
  • FIG. 3B is a schematic diagram showing the distribution of the reversal angle in the pitch angle in the normal state provided by the present application.
  • 4A is a schematic diagram showing a distribution of a difference between a maximum value and a minimum value of a pitch angle in an abnormal state according to the present application
  • 4B is a schematic diagram showing a distribution of a difference between a maximum value and a minimum value of a pitch angle in a normal state according to the present application;
  • Embodiment 5 is a flow chart of Embodiment 2 of a method for detecting a fatigue state of a toothed belt of a wind power generator provided by the present application;
  • Embodiment 1 is a schematic structural view of Embodiment 1 of a device for detecting a fatigue state of a toothed belt of a wind power generator provided by the present application;
  • Embodiment 7 is a schematic structural view of Embodiment 2 of a device for detecting a fatigue state of a toothed belt of a wind power generator provided by the present application;
  • FIG. 8 is a schematic structural view of a detecting system for a fatigue state of a toothed belt of a wind power generator provided by the present application.
  • the pitch system drives the toothed belt to drive the pitch bearing through the pitch motor to change the wind angle of the blade to realize pitching.
  • the toothed belt In the fatigue state of long-term operation, the toothed belt has the risk of breaking or failure.
  • the method for detecting the fatigue state of the toothed belt of the wind power generator provided by the present invention is used for detecting the fatigue state of the toothed belt in operation.
  • the fatigue state of the toothed belt may be fatigue wear of the toothed belt meshing teeth, length change of the toothed belt under long-term operation, and tension change of the toothed belt under long-term operation.
  • the toothed belt fatigue in this application The state is not limited to the above several manifestations.
  • Embodiment 1 of a method for detecting a fatigue state of a wind turbine toothed belt. As shown in FIG. 1 , this embodiment specifically includes steps S101 to S105.
  • Step S101 It is determined that the unit is in a pitch state.
  • step S102 determine whether the unit is in the pitch state.
  • the operating state parameter of the unit may be a pitch angle, that is, whether the current pitch angle of the unit is greater than a preset minimum pitch angle, and if greater, the unit is determined to be in a pitch state.
  • a pitch angle that is, whether the current pitch angle of the unit is greater than a preset minimum pitch angle, and if greater, the unit is determined to be in a pitch state.
  • other technical solutions can also be used to determine whether the unit is in a pitching state, and is not limited to the use of the pitch angle.
  • Step S102 Obtain a pitch angle that meets a preset condition.
  • a set of pitch angles for the unit is obtained with the unit in a pitched state. For example, a pitch angle is acquired every 1 second and collected 100 times to obtain 100 pitch angles.
  • a pitch angle that meets a preset condition is extracted.
  • the preset condition may be a pitch angle range such as [3.5, 6.5] deg (angle), and this pitch angle range may be determined according to the operating range of the proximity switch in step S103.
  • the pitch angles within the pitch angle range are extracted from a set of pitch angles, which are pitch angles that meet preset conditions.
  • pitch angle ranges can also be used, and are not limited thereto.
  • Step S103 Acquire a signal feature value corresponding to the pitch angle, and select a pitch angle at which the signal feature value changes in the pitch angle according to the acquisition timing of the signal feature value.
  • a proximity switch is provided in the generator set.
  • the operating range of the proximity switch ie the pitch angle range of the feedback level signal
  • the pitch angle range is set to [A, B]
  • the proximity switch physically senses whether the pitch angle is within this range, and if so, the proximity switch is energized and feedback corresponds to the pitch angle.
  • Level signal when the pitch angle leaves this range, the proximity switch will no longer feed back the level signal.
  • the level signal of the proximity switch feedback can be understood as a specific form of the signal characteristic value.
  • the level signal of the proximity switch feedback is shown in Figure 2.
  • the pitch angle range is set to [A, B], and the relationship between the pitch angle numbers A, B, and C is A>C>B, where C is the reverse angle (the paddle corresponding to the switch feedback signal change) Distance angle), that is, when the pitch angle is less than A and greater than C, the proximity switch feedback signal is low; when the pitch angle is less than C and greater than B, The proximity switch feedback signal goes high. It can be seen that when the pitch angle changes from A deg to B deg , the proximity switch feedback signal is converted from a low level to a high level when the angle reaches C. Conversely, when the pitch angle changes from B deg to A deg , the proximity switch feedback signal is converted from a high level to a low level.
  • the pitch angle near C is the required pitch angle, and the pitch angle in the range of C ⁇ 0.5 deg is satisfactory. It can be seen from Fig. 2 that the pitch angle has a corresponding feedback signal interval in the range of [A, B] deg, and the feedback signal interval can be called a state inversion interval, which can be understood as C ⁇ 0.5 deg. This range.
  • the angle of reversal in the pitch angle is fixed, such as C ⁇ 0.5 deg, except for the cause of the proximity switch itself and other wiring reasons.
  • the fixed values for different units may be different.
  • the toothed belt itself may be deformed. At this time, the reverse angle may drift.
  • FIGS. 3A and 3B the distribution of the inversion angles in the pitch angles in the abnormal state and the normal state, respectively, is shown. Comparing FIG. 3A and FIG. 3B, it can be found that, in the abnormal state, the pitch angle corresponding to the reverse angle in the pitch angle is large, that is, there is a case where the proximity switch feedback signal changes outside the range of 5 ⁇ 0.5 deg.
  • the relationship between the proximity switch feedback signal and the pitch angle can be used to detect the fatigue state of the toothed belt.
  • the proximity switch feedback signal corresponding to the pitch angle may be correspondingly acquired.
  • the proximity switch feedback signal is a digital quantity of hardware feedback, only 0 or 1 states, indicating low level and high level respectively.
  • the proximity switch feedback signal is a specific form of the signal characteristic value corresponding to the pitch angle.
  • the proximity switch feedback signal is synchronized in timing with the pitch angle.
  • the pitch angle at a certain time corresponds to the proximity switch feedback signal at that time. That is to say, by using the corresponding relationship, the feedback signal at the moment corresponding to the time can be found by the pitch angle at a certain time in the range of [A, B], or the feedback signal at a certain moment can be used to find the range corresponding to the moment.
  • the pitch angle however, if the pitch angle is not within the range [A, B], the relationship cannot be utilized. This is because the proximity switch only starts the feedback signal when the pitch angle is within the range [A, B]. Therefore, the pitch angle obtained in step S102 conforming to the preset condition has a corresponding proximity switch feedback signal.
  • the proximity switch feedback signal is multiple, and the connections are The near-switch feedback signals are sequentially ordered in accordance with the timing (chronological order of the feedback signals). According to the timing sequence of the plurality of proximity switch feedback signals, it may be determined whether the proximity switch feedback signal has changed, and further, according to the signal feedback timing of the changed proximity switch feedback signal and the corresponding relationship in the timing, the obtained in step S102 Find the pitch angle corresponding to the changed proximity switch feedback signal in the pitch angle that meets the preset conditions.
  • a set of proximity switch feedback signals is 1001011, which includes four varying proximity switch feedback signals, which are 0 of the second bit, 0 of the fourth bit, 0 of the fifth bit, and 1 of the sixth bit.
  • the pitch angles corresponding to the set of proximity switch feedback signals 1001011 are: 5.3, 5.0, 4.7, 6.3, 4.2, 5.7, 5.5, respectively, and therefore, the pitch angles selected from the proximity switch feedback signals are 5.0, 6.3. , 4.2, 5.7.
  • Step S104 Perform feature statistics on the selected pitch angle to obtain feature statistics.
  • the feature statistics may be the mean value, the standard deviation, the difference between the maximum value and the minimum value of the selected pitch angle, and of course, other feature statistics methods, and are not limited thereto.
  • FIG. 4A which shows the statistical result of the difference between the maximum value and the minimum value in the abnormal state
  • Fig. 4B which shows the statistical result of the difference between the maximum value and the minimum value in the normal state.
  • Step S105 Determine whether the toothed belt is in a fatigue state according to the magnitude relationship between the characteristic statistical value and the preset characteristic threshold.
  • the feature statistics mode of step S104 is corresponding to the preset feature threshold (which may be simply referred to as a preset threshold) in this step.
  • the preset feature threshold is a preset threshold corresponding to the standard deviation; if the feature statistics is a difference between the statistical maximum value and the minimum value, the preset feature threshold is a maximum value.
  • the feature statistic is greater than the preset feature threshold, it may be determined that the toothed belt is in a fatigue state, and if the feature statistic is less than or equal to the preset feature threshold, it may be determined that the toothed belt is not in a fatigue state. Of course, depending on the actual situation, vice versa.
  • the present embodiment provides a method for detecting a fatigue state of a toothed belt of a wind power generator set.
  • the method obtains a pitch angle that meets a preset condition, and acquires a signal characteristic value corresponding to the pitch angle, according to The timing of acquiring the characteristic values of the signal, selecting the pitch angle at which the signal characteristic value changes in the pitch angle, performing characteristic statistics on the selected pitch angle, obtaining characteristic statistical values, comparing characteristic statistical values and
  • the preset threshold determines whether the toothed belt is in a fatigue state.
  • This method does not require any additional testing equipment and hardware measures, that is, the detection of the fatigue state of the in-service toothed belt can be realized, and the real-time performance is stronger and the implementation cost is lower.
  • the method is easy to implement, the algorithm complexity is low, and thus the applicability is higher.
  • the alarm signal is output, the danger warning is given, and the maintenance personnel are provided with reference for inspection or maintenance, so as to avoid the unpredictable occurrence of the blade out of control due to the failure of the toothed belt.
  • the impact of the unit to ensure the normal operation of the unit.
  • the preset feature threshold may be a threshold corresponding to the standard deviation, or a threshold corresponding to the maximum and minimum values of the pitch angle. In practical applications, these two thresholds are empirical values, which are summarized based on the pitch of the unit. Therefore, in step S104, when characteristic statistics are performed on the selected pitch angle, the difference between the standard deviation or the maximum and minimum values of the pitch angle can be counted.
  • step S104 if the characteristic statistics of the selected pitch angle are performed in step S104, the average of the selected pitch angles is counted. Since in the actual application, the debugging and installation process of the proximity switch is affected by human factors, the angle of reversal in the pitch angle is not unique. Therefore, the average of the selected pitch angles can be adaptively determined in the manner of steps S101 to S104, and then the preset feature threshold is generated using the average.
  • the mean value or the mean value is added or subtracted by a certain value, and is used as the mean value range (ie, the preset feature threshold value).
  • the mean value range ie, the preset feature threshold value.
  • the average pitch angle of the selected pitch angle is 5 deg
  • the mean range is [4.7, 5.3] deg.
  • the mean value range is used as a subsequent criterion to determine whether the toothed belt is in a fatigue state.
  • the judgment method is: after selecting the pitch angle, comparing the pitch angle with the mean range, if the mean value is exceeded, determining that the pitch angle is in a fatigue state, and if not, determining that the pitch angle is not in a fatigue state .
  • the pitch angle selected above can be saved in a log file to provide a data reserve for subsequent unit improvements.
  • other data can be saved in the log file.
  • FIG. 5 shows a flow of Embodiment 2 of the method for detecting a fatigue state of a wind turbine toothed belt.
  • the present embodiment is different from the first embodiment of the method for detecting the fatigue state of the toothed belt of the wind turbine generator. The difference is that step S106 is added, and only step S106 is described below. For the other steps, refer to the description of Embodiment 1, and details are not described herein.
  • Step S101 It is determined that the unit is in a pitch state.
  • Step S102 Obtain a pitch angle that meets a preset condition.
  • Step S103 Acquire a signal feature value corresponding to the pitch angle, and select a pitch angle at which the signal feature value changes in the pitch angle according to the acquisition timing of the signal feature value.
  • Step S104 Perform feature statistics on the selected pitch angle to obtain feature statistics.
  • Step S105 Determine whether the toothed belt is in a fatigue state according to the magnitude relationship between the characteristic statistical value and the preset characteristic threshold.
  • Step S106 If the toothed belt is in a fatigue state, the corresponding feature statistical value is saved in the record file.
  • step S102 to step S104 may be performed multiple times to obtain characteristic statistics values of different monitoring time points, and each time the feature statistics value is obtained, the buffer is performed. If the data volume of the cached feature statistics reaches the preset cache threshold, the cached feature statistics may be output to a file for saving.
  • the file may be referred to as a log file.
  • the original pitch angle data that is, the pitch angle in step S102, can also be saved in the log file.
  • the characteristic statistics of the toothed belt in the fatigue state can be saved in the log file.
  • the log file can assess the fatigue performance of the toothed belt in actual operation and provide a data reserve for subsequent improvements.
  • the fatigue state detecting method of the above wind turbine toothed belt is a scheme for a toothed belt, that is, obtaining a pitch angle that meets a preset condition is a pitch angle of a toothed belt, and after analyzing the pitch angle, Thereby, the fatigue state of the toothed belt is obtained.
  • the pitch state may include the starting process of the unit, the process from constant paddle to pitch and the long-term pitch state.
  • the pitch angles of the plurality of toothed belts are obtained, and the difference between the two pitch angles is calculated to determine whether there is a difference exceeding the threshold value in the difference. If present, it is considered that there is a fatigued toothed belt in the two toothed belts corresponding to the difference. After positioning the two toothed belts, the pitch angles of the two toothed belts are analyzed to determine the fatigued toothed belt.
  • the present application also provides a detecting device for the fatigue state of the wind generator belt toothed belt.
  • the apparatus may include: a pitch angle acquisition unit 601, a signal feature value acquisition unit 602, a feature statistical value calculation unit 603, and a fatigue determination unit 604.
  • a pitch angle obtaining unit 601 configured to acquire a corresponding pitch angle according to a preset condition
  • a signal feature value obtaining unit 602 configured to acquire a signal feature value corresponding to the pitch angle
  • the feature statistic value calculation unit 603 is configured to acquire timing according to the signal feature value, select a pitch angle in which the signal feature value changes in the pitch angle, perform feature statistics on the selected pitch angle, and obtain a feature statistic value;
  • the fatigue judging unit 604 is configured to determine whether the toothed belt is in a fatigue state by comparing the characteristic statistical value with a preset threshold.
  • the recording file storage unit 605 and the pitch determining unit 606 are further configured to determine whether the wind power generating set is in a pitch state. .
  • the record file storage unit 605 is configured to save the corresponding feature statistic value when determining that the toothed belt is in a fatigue state, and form a record file.
  • the pitch determination unit 606 is configured to determine whether the wind turbine is in a pitch state.
  • the specific determination manner of the pitch determination unit 606 includes determining whether the current pitch angle is greater than a preset minimum pitch angle, and if so, determining that the wind power generator is in a pitch state.
  • the feature statistical value calculation unit 606 is specifically configured to calculate the mean value of the selected pitch angle, or calculate the standard deviation of the selected pitch angle, Or, calculate the difference between the maximum and minimum values of the selected pitch angle.
  • the present application also provides a detection system for a fatigue state of a wind turbine toothed belt.
  • the detection system specifically includes: a sensor 801, a proximity switch 802, and a detecting device 803 for the fatigue state of the wind generator belt toothed belt.
  • the sensor 801 is configured to send a pitch angle detected in real time to the detecting device 803 of the wind turbine set toothed belt fatigue state;
  • the proximity switch 802 is configured to feed back a feedback signal (ie, a signal characteristic value) corresponding to a pitch angle that meets a preset condition to the detecting device 803 of the wind turbine set toothed belt fatigue state.
  • a feedback signal ie, a signal characteristic value
  • the senor 801 is mounted on a pitch actuator (not shown in FIG. 8) of the wind turbine and is signally coupled to the wind turbine generator belt fatigue state detecting device 803.
  • a pitch actuator of a wind turbine eg, a pitch pad
  • the sensor 801 detects the pitch angle in real time and transmits the pitch angle to the detecting device 803 of the wind turbine set toothed belt fatigue state.
  • the proximity switch 802 is also mounted on the pitch actuator of the wind turbine and is coupled to the wind turbine generator belt fatigue state detecting device 803, which is capable of physically sensing whether the current pitch angle is set. Within the pitch angle range, once the pitch angle has entered the set range, the proximity switch 802 begins to energize and feeds back the feedback signal to the wind turbine generator toothed belt fatigue condition detecting device 803.
  • the wind turbine generator toothed belt fatigue state detecting device 803 extracts all the pitch angles corresponding to the preset conditions in the received pitch angle, and selects signal characteristic values respectively corresponding to all the extracted pitch angles; According to the timing of acquiring the characteristic value of the signal, the pitch angle at which the signal characteristic value changes is selected among the extracted pitch angles, and the characteristic statistical value of the selected pitch angle is calculated; and, by comparing the characteristic statistics and the preset The threshold determines whether the toothed belt is in a fatigue state.
  • the detecting device 803 for the fatigue state of the wind turbine toothed belt may be a controller, more specifically, may be a pitch controller, or may be a system main controller.

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  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
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  • Wind Motors (AREA)
  • Structures Of Non-Positive Displacement Pumps (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

一种风力发电机组齿形带疲劳状态的检测方法，该方法获得符合预设条件的桨距角（S102），并获取桨距角对应的信号特征值，根据信号特征值的获取时序，在桨距角中选择信号特征值发生变化的桨距角（S103），对选择的桨距角进行特征统计，获得特征统计值（S104），比较特征统计值与预设阈值，确定齿形带是否处于疲劳状态（S105）；此方法无需任何附加的检测设备与硬件措施，即可以实现对在役齿形带的疲劳状态的检测，实时性更强且实现成本较低；并且，该方法易于实现、算法复杂度较低，因此应用性更高；另外，还提供了风机发电机组齿形带疲劳状态的检测装置及系统，用以保证上述方法在实际中的应用及实现。

Description

风力发电机组齿形带疲劳状态的检测方法、装置及系统
本申请要求于2016年07月18日提交中国专利局、申请号为201610566387.6、发明名称为“风力发电机组齿形带疲劳状态的检测方法、装置及系统”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及风力发电技术领域，更具体地，是风力发电机组齿形带疲劳状态的检测方法、装置及系统。
背景技术
风力发电机组，可以将风能转化为电能进行发电。机组在达到满发状态后需要变桨实现恒转速控制。变桨时，变桨系统通过变桨电机驱动齿形带带动变桨轴承，以改变叶片的对风角度，实现变桨。
齿形带，作为风力发电机组变桨系统的传动机构，在机组长期的变桨需求下，承受着非常严重的疲劳载荷与交变载荷。若齿形带断裂或失效，会导致叶片失控，从而对机组的安全产生严重威胁。因此，需要对齿形带进行检测，以在其断裂或失效前给予风险预警，保障机组的安全运行。
发明内容
有鉴于此，本申请提供了一种风力发电机组齿形带疲劳状态的检测方法，用于低成本地实现对在役的齿形带的疲劳状态的检测。另外，本申请还提供了一种风力发电机组齿形带疲劳状态的检测装置及系统，用以保证所述方法在实际中的应用及实现。
为实现所述目的，本申请提供的技术方案如下：
一种风力发电机组齿形带疲劳状态的检测方法，包括：
获得符合预设条件的桨距角；
获取与所述桨距角对应的信号特征值；
按信号特征值获取时序，在所述桨距角中选择信号特征值发生变化的桨距角；
对选择的桨距角进行特征统计，获得特征统计值；
通过比较所述特征统计值与预设阈值，确定齿形带是否处于疲劳状态。
一种风力发电机组齿形带疲劳状态的检测装置，包括：
桨距角获取单元，用于获得符合预设条件的桨距角；
信号特征值获取单元，用于获取与所述桨距角对应的信号特征值；
特征统计值计算单元，用于按信号特征值获取时序，在所述桨距角中选择信号特征值发生变化的桨距角，对选择的桨距角进行特征统计，获得特征统计值；
疲劳判断单元，用于通过比较所述特征统计值与预设阈值，确定齿形带是否处于疲劳状态。
一种风机发电机组齿形带疲劳状态的检测系统，包括：传感器、接近开关以及上述任意一种风力发电机组齿形带疲劳状态的检测装置；其中，
所述传感器，用于将实时检测的桨距角发送至上述任意一种风力发电机组齿形带疲劳状态的检测装置；
所述接近开关，用于将与符合预设条件的桨距角所对应的信号特征值反馈至上述任意一种风力发电机组齿形带疲劳状态的检测装置。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据提供的附图获得其他的附图。
图1为本申请提供的风力发电机组齿形带疲劳状态的检测方法实施例1的流程图；
图2为本申请提供的接近开关反馈的电平信号示意图；
图3A为本申请提供的异常状态下桨距角中的反转角度的分布情况示意 图；
图3B为本申请提供的正常状态下桨距角中的反转角度的分布情况示意图；
图4A为本申请提供的异常状态下桨距角最大值与最小值的差值的分布情况示意图；
图4B为本申请提供的正常状态下桨距角最大值与最小值的差值的分布情况示意图；
图5为本申请提供的风力发电机组齿形带疲劳状态的检测方法实施例2的流程图；
图6为本申请提供的风力发电机组齿形带疲劳状态的检测装置实施例1的结构示意图；
图7为本申请提供的风力发电机组齿形带疲劳状态的检测装置实施例2的结构示意图；
图8为本申请提供的风力发电机组齿形带疲劳状态的检测系统的结构示意图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
风力发电机组(可简称机组)需要变桨时，变桨系统通过变桨电机驱动齿形带带动变桨轴承，以改变叶片的对风角度，实现变桨。
齿形带在长期工作的疲劳状态下，存在断裂或失效的风险，本申请提供的风力发电机组齿形带疲劳状态的检测方法，用于对工作中的齿形带的疲劳状态进行检测。
齿形带疲劳状态可以是，齿形带啮合齿的疲劳磨损、齿形带长期工作下的长度变化、齿形带长期工作下的张紧力变化等。当然，本申请中的齿形带疲劳 状态并不局限于上述几种表现形式。
见图1，其示出了风力发电机组齿形带疲劳状态的检测方法实施例1的流程。如图1所示，该实施例具体包括步骤S101～步骤S105。
步骤S101：确定机组处于变桨状态。
根据机组的运行状态参数，来确定机组是否处于变桨状态。在机组处于变桨状态时，执行步骤S102。
具体地，机组的运行状态参数可以是桨距角，即判断机组的当前桨距角是否大于预设最小桨距角，若大于，则确定机组处于变桨状态。当然，还可以采用其他技术方案判断机组是否处于变桨状态的方式，并不局限于使用桨距角。
步骤S102：获得符合预设条件的桨距角。
在机组处于变桨状态的情况下，获得机组的一组桨距角。例如，每隔1秒采集一个桨距角，采集100次，获得100个桨距角。
从该一组桨距角中，提取符合预设条件的桨距角。具体地，预设条件可以是桨距角范围，如[3.5，6.5]deg(角度)，这个桨距角范围可以依据步骤S103中的接近开关的工作范围来确定。从而，从一组桨距角中提取出在该桨距角范围内的桨距角，这些桨距角即符合预设条件的桨距角。
当然，还可以使用其他桨距角范围，并非局限于此。
步骤S103：获取与桨距角对应的信号特征值，并按信号特征值的获取时序，在桨距角中选择信号特征值发生变化的桨距角。
发电机组中设置有接近开关。在实施前，可以设置接近开关的工作范围，即反馈电平信号的桨距角范围。假设在实际应用中，设置的桨距角范围为[A，B]，接近开关通过物理方式感知桨距角是否在此范围内，若是的话，则接近开关通电，并反馈与桨距角对应的电平信号；当桨距角离开此范围后，接近开关将不再反馈电平信号。接近开关反馈的电平信号可以理解为信号特征值的一种具体形式。
接近开关反馈的电平信号如图2所示。
图2中，设置的桨距角范围为[A，B]，桨距角度数A、B、C的关系为A>C>B，其中C是反转角度(接近开关反馈信号变化对应的桨距角)，即当桨距角小于A且大于C时，接近开关反馈信号为低电平；当桨距角小于C且大于B时， 接近开关反馈信号变为高电平。可见，当桨距角由A deg向B deg变化时，在角度达到C时接近开关反馈信号由低电平转化为高电平。反之，当桨距角由B deg向A deg变化时，接近开关反馈信号由高电平转化为低电平。
考虑到调试误差，在C附近的桨距角都是符合要求的桨距角，如C±0.5deg范围内的桨距角均符合要求。从图2也中可以看出，桨距角在[A，B]deg范围内存在对应的反馈信号区间，该反馈信号区间可以称为状态反转区间，该区间即可以理解为C±0.5deg这个范围。
正常工作状态下，在排除接近开关自身原因与其他接线原因外，桨距角中的反转角度是固定的，如C±0.5deg。当然，不同的机组该固定值可能不同。但是，实际工作中，在长期疲劳载荷与交变载荷作用下，可能会导致齿形带自身产生变形，此时，反转角度会发生漂移。
如图3A及图3B所示，其分别示出了在异常状态和正常状态下桨距角中的反转角度的分布情况。对比图3A及图3B可以发现，在异常状态下，桨距角中的反转角度对应的桨距角波动性较大，即在5±0.5deg范围外有接近开关反馈信号变化的情况。
因此，可以使用接近开关反馈信号与桨距角的关系，对齿形带疲劳状态进行检测。
具体地，以上步骤获得桨距角时，可以对应地获取到桨距角所对应的接近开关反馈信号。接近开关反馈信号为硬件反馈的数字量，只有0或1两个状态，分别表示低电平及高电平。接近开关反馈信号是桨距角所对应的信号特征值的一种具体形式。
接近开关反馈信号与桨距角在时序上是同步的，换句话说，某个时刻的桨距角与该时刻的接近开关反馈信号是对应的。也就是说，利用该对应关系，可以通过[A，B]范围内的某时刻的桨距角找到与其对应的该时刻的反馈信号，或者通过某时刻的反馈信号找到该时刻对应的该范围内的桨距角；但是，如果桨距角不在[A，B]范围内的话，则无法利用该关系。这是因为，接近开关仅当桨距角在[A，B]范围内时才会开始反馈信号。因此，步骤S102获得的符合预设条件的桨距角具有对应的接近开关反馈信号。
该符合预设条件的桨距角为多个，则接近开关反馈信号为多个，且该些接 近开关反馈信号按照时序(反馈信号的时间先后顺序)先后排序。根据多个接近开关反馈信号的时序排序，可以确定接近开关反馈信号是否发生了变化，进而根据发生了变化的接近开关反馈信号的信号反馈时刻、以及上述时序上的对应关系，在步骤S102获得的符合预设条件的桨距角中，查找此些发生了变化的接近开关反馈信号所对应的桨距角。
例如，一组接近开关反馈信号为1001011，其包括四个变化的接近开关反馈信号，分别是第二位的0、第四位的1、第五位的0以及第六位的1。该组接近开关反馈信号1001011对应的桨距角分别为：5.3、5.0、4.7、6.3、4.2、5.7、5.5，因此，根据变化的接近开关反馈信号，从中选择出的桨距角为5.0、6.3、4.2、5.7。
步骤S104：对选择的桨距角进行特征统计，获得特征统计值。
在实际应用中，特征统计可以是统计所选择的桨距角的均值、标准差、最大值与最小值的差值等，当然，还可以是其他特征统计方式，并非局限于此。
见图4A，其示出了异常状态下最大值与最小值的差值的统计结果；见图4B，其示出了正常状态下最大值与最小值的差值的统计结果。
步骤S105：根据特征统计值与预设特征阈值的大小关系，确定齿形带是否处于疲劳状态。
其中，步骤S104的特征统计方式与本步骤中的预设特征阈值(可简称为预设阈值)是对应的。例如，若特征统计为统计标准差，则该预设特征阈值为标准差对应的预设阈值；若特征统计为统计最大值与最小值之间的差值，则该预设特征阈值为最大值与最小值的差值对应的预设阈值；若特征统计为统计均值，则该预设特征阈值为均值对应的预设阈值。
在一种情况下，特征统计值若大于预设特征阈值，则可以确定齿形带处于疲劳状态，特征统计值若小于等于预设特征阈值，则可以确定齿形带未处于疲劳状态。当然，根据实际情况，反之亦可。
由以上技术方案可知，本实施例提供了一种风力发电机组齿形带疲劳状态的检测方法，该方法根获得符合预设条件的桨距角，并获取桨距角对应的信号特征值，根据信号特征值的获取时序，在桨距角中选择信号特征值发生变化的桨距角，对选择的桨距角进行特征统计，获得特征统计值，比较特征统计值与 预设阈值，确定齿形带是否处于疲劳状态。此方法无需任何附加的检测设备与硬件措施，即可以实现对在役齿形带的疲劳状态的检测，实时性更强且实现成本较低。并且，该方法易于实现、算法复杂度较低、因此应用性更高。
检测到齿形带处于疲劳状态的风险值较高时，会输出报警信号，给予危险提示，给维护人员实施检查或维护提供参考，避免因为齿形带失效而导致叶片失控对机组产生的不可预知的影响，保证机组正常运行。
以上步骤S105中，预设特征阈值可以是标准差对应的阈值，或者是，桨距角最大值与最小值对应的阈值。在实际应用中，此两种阈值是经验值，即根据机组的变桨情况总结出的。因此，步骤S104在对选择的桨距角进行特征统计时，可以统计标准差、或者桨距角最大值与最小值的差值。
但是，若步骤S104对选择的桨距角进行特征统计时，统计的是选择的桨距角的均值。由于在实际应用中，接近开关的调试与安装过程受人为因素影响，导致桨距角中的反转角度并不是唯一的。因此，可以按照步骤S101到步骤S104的方式自适应的求出所选择的桨距角的均值，然后利用该均值生成预设特征阈值。
即，在选择桨距角的均值后，将该均值或者均值加减一定数值后，作为均值范围(即预设特征阈值)。例如，所选择的桨距角的均值为5deg，在5deg的基础上加减0.3后，得到均值范围为[4.7,5.3]deg。该均值范围作为后续判断标准，来判断齿形带是否处于疲劳状态。
判断方式是，在选择桨距角后，将该桨距角与均值范围进行比较，若超出该均值范围，则确定桨距角处于疲劳状态，若未超出，则确定桨距角未处于疲劳状态。
以上选择的桨距角，可以被保存在记录文件中，为后续进行机组改进提供数据储备。当然，记录文件中还可以保存其他的数据。
见图5，其示出了本申请提供了风力发电机组齿形带疲劳状态的检测方法实施例2的流程。如图5所示，本实施例与上述风力发电机组齿形带疲劳状态检测方法实施例1相比，不同之处在于增加步骤S106，以下仅对步骤S106进行说 明，其他步骤参见实施例1的说明，此处并不赘述。
步骤S101：确定机组处于变桨状态。
步骤S102：获得符合预设条件的桨距角。
步骤S103：获取与桨距角对应的信号特征值，并按信号特征值的获取时序，在桨距角中选择信号特征值发生变化的桨距角。
步骤S104：对选择的桨距角进行特征统计，获得特征统计值。
步骤S105：根据特征统计值与预设特征阈值的大小关系，确定齿形带是否处于疲劳状态。
步骤S106：若齿形带处于疲劳状态，则将相应的特征统计值保存在记录文件中。
在一个示例中，机组处于变桨状态下，可以多次执行步骤S102～步骤S104来获得不同监测时间点的特征统计值，每次获得特征统计值后，便进行缓存。若缓存的特征统计值的数据量达到预设缓存阈值后，可以将缓存的这些特征统计值输出至文件中进行保存，该文件可以称为记录文件。另外，记录文件中还可以保存原始的桨距角数据，即步骤S102中的桨距角。
在另一示例中，若齿形带处于疲劳状态，则可以将疲劳状态的齿形带的特征统计值保存在记录文件中。
记录文件可以评估齿形带在实际运行中的疲劳性能，为后续改进提供数据储备。
以上风力发电机组齿形带的疲劳状态检测方法是针对某一齿形带的方案，即获得符合预设条件的桨距角是一个齿形带的桨距角，对桨距角进行分析后，从而获得该齿形带的疲劳状态。
但是，还可以根据多个齿形带的桨距角之间的关系，来确定该多个齿形带之中是否存在疲劳的齿形带。
具体来讲，正常状态下，在相同的变桨需求下，多个齿形带的执行结果即实际的桨距角应该是相同的。因此，可以通过统计多个桨距角在变桨状态下的跟随情况，来判断齿形带的疲劳情况。其中，变桨状态可以包括机组启机过程、由不变桨到变桨的过程与长期变桨状态。
首先，确定机组是否处于变桨状态，若是，则获得多个齿形带的桨距角，计算多个桨距角两两之间的差值，判断差值中是否存在超过阈值的差值，若存在，则认为该差值对应的两个齿形带中存在疲劳的齿形带。定位到该两个齿形带后，再对该两个齿形带的桨距角进行分析，从而确定出疲劳的齿形带。
与上述的风力发电机组齿形带疲劳状态的检测方法相对应，本申请还提供了风力发电机组齿形带疲劳状态的检测装置。
见图6，其示出了风力发电机组齿形带疲劳状态的检测装置实施例1的结构。如图6所示，该装置可以包括：桨距角获取单元601、信号特征值获取单元602、特征统计值计算单元603、疲劳判断单元604。
桨距角获取单元601，用于根据预设条件获取相应的桨距角；
信号特征值获取单元602，用于获取与所述桨距角对应的信号特征值；
特征统计值计算单元603，用于按信号特征值获取时序，在所述桨距角中选择信号特征值发生变化的桨距角，对选择的桨距角进行特征统计，获得特征统计值；
疲劳判断单元604，用于通过比较所述特征统计值与预设阈值，确定齿形带是否处于疲劳状态。
见图7，在风力发电机组齿形带疲劳状态检测装置实施例1的基础上，还可以包括：记录文件存储单元605、及变桨判断单元606，用于判断风力发电机组是否处于变桨状态。
记录文件存储单元605，用于当确定齿形带处于疲劳状态时，保存相应的特征统计值，并形成记录文件。
变桨判断单元606，用于判断风力发电机组是否处于变桨状态。
具体地，变桨判断单元606具体的判断方式包括，判断当前桨距角是否大于预设最小桨距角，若是，则确定所述风力发电机组处于变桨状态。
在执行计算所选择的桨距角的特征统计值的步骤时，特征统计值计算单元606具体用于，计算所选择的桨距角的均值，或，计算所选择的桨距角的标准差，或，计算所选择的桨距角的最大值与最小值的差值。
见图8，本申请还提供了一种风力发电机组齿形带疲劳状态的检测系统。该检测系统具体包括：传感器801、接近开关802、风力发电机组齿形带疲劳状态的检测装置803。
所述传感器801，用于将实时检测的桨距角发送至风力发电机组齿形带疲劳状态的检测装置803；
所述接近开关802，用于将与符合预设条件的桨距角所对应的反馈信号(即信号特征值)反馈至风力发电机组齿形带疲劳状态的检测装置803。
在实际应用场景中，传感器801安装在风力发电机组的变桨执行机构(图8未示出)上，并与风力发电机组齿形带疲劳状态的检测装置803信号连接。风力发电机组的变桨执行机构(例如：变桨盘)，用于执行变桨动作，从而改变桨距角。当风力发电机组执行变桨时，传感器801实时检测桨距角，并将桨距角发送至风力发电机组齿形带疲劳状态的检测装置803。
同时，接近开关802也安装在与风力发电机组的变桨执行机构上，并与风力发电机组齿形带疲劳状态的检测装置803信号连接，其能够通过物理方式感知当前桨距角是否处于设置的桨距角范围内，一旦桨距角进入了设置范围，接近开关802则开始通电并将反馈信号反馈至风力发电机组齿形带疲劳状态的检测装置803。
风力发电机组齿形带疲劳状态的检测装置803在接收到的桨距角中提取所有符合预设条件的桨距角，以及选择与所有提取出的桨距角分别对应的信号特征值；并且，按获取信号特征值的时序，在提取出的桨距角中选择信号特征值发生变化的桨距角，并计算所选择的桨距角的特征统计值；并且，通过比较特征统计值与预设阈值，确定齿形带是否处于疲劳状态。
其中，风力发电机组齿形带疲劳状态的检测装置803可以是控制器，更具体地，可以是变桨控制器，或者，也可以是系统主控制器。
需要说明的是，本说明书中的各个实施例均采用递进的方式描述，每个实施例重点说明的都是与其他实施例的不同之处，各个实施例之间相同相似的部分互相参见即可。
还需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来 将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括上述要素的过程、方法、物品或者设备中还存在另外的相同要素。

Claims (10)

  1. 一种风力发电机组齿形带疲劳状态的检测方法，其特征在于，包括：
    获得符合预设条件的桨距角；
    获取与所述桨距角对应的信号特征值；
    按信号特征值获取时序，在所述桨距角中选择信号特征值发生变化的桨距角；
    对选择的桨距角进行特征统计，获得特征统计值；
    通过比较所述特征统计值与预设阈值，确定齿形带是否处于疲劳状态。
  2. 根据权利要求1所述的风力发电机组齿形带疲劳状态的检测方法，其特征在于，还包括：
    当确定齿形带处于疲劳状态时，保存所述特征统计值，并形成记录文件。
  3. 根据权利要求1所述的风力发电机组齿形带疲劳状态的检测方法，其特征在于，在所述获得符合预设条件的桨距角之前，还包括：
    判断风力发电机组是否处于变桨状态；
    其中，所述判断风力发电机组是否处于变桨状态，具体包括：
    判断当前桨距角是否大于预设最小桨距角，若是，则确定所述风力发电机组处于变桨状态。
  4. 根据权利要求1所述的风力发电机组齿形带疲劳状态的检测方法，其特征在于，所述对选择的桨距角进行特征统计，获得特征统计值，包括：
    计算所选择的桨距角的均值，或，
    计算所选择的桨距角的标准差，或，
    计算所选择的桨距角的最大值与最小值的差值。
  5. 根据权利要求1所述的风力发电机组齿形带疲劳状态的检测方法，其特征在于，所述预设条件包括：预设桨距角范围。
  6. 一种风力发电机组齿形带疲劳状态的检测装置，其特征在于，包括：
    桨距角获取单元，用于获得符合预设条件的桨距角；
    信号特征值获取单元，用于获取与所述桨距角对应的信号特征值；
    特征统计值计算单元，用于按信号特征值获取时序，在所述桨距角中选择信号特征值发生变化的桨距角，对选择的桨距角进行特征统计，获得特征统计 值；
    疲劳判断单元，用于通过比较所述特征统计值与预设阈值，确定齿形带是否处于疲劳状态。
  7. 根据权利要求1所述的风力发电机组齿形带疲劳状态的检测装置，其特征在于，还包括：
    记录文件存储单元，用于当确定齿形带处于疲劳状态时，保存所述特征统计值，并形成记录文件。
  8. 根据权利要求1所述的风力发电机组齿形带疲劳状态的检测装置，其特征在于，还包括：变桨判断单元，用于判断风力发电机组是否处于变桨状态；
    其中，所述变桨判断单元具体用于：
    判断当前桨距角是否大于预设最小桨距角，若是，则确定所述风力发电机组处于变桨状态。
  9. 根据权利要求1所述的风力发电机组齿形带疲劳状态的检测装置，其特征在于，所述特征统计值计算单元，具体用于：
    计算所选择的桨距角的均值，或，
    计算所选择的桨距角的标准差，或，
    计算所选择的桨距角的最大值与最小值的差值。
  10. 一种风机发电机组齿形带疲劳状态的检测系统，其特征在于，包括：传感器、接近开关以及权利要求6-9任意一项所述的风力发电机组齿形带疲劳状态的检测装置；其中，
    所述传感器，用于将实时检测的桨距角发送至权利要求6-9任意一项所述的风力发电机组齿形带疲劳状态的检测装置；
    所述接近开关，用于将与符合预设条件的桨距角所对应的信号特征值反馈至所述权利要求6-9任意一项所述的风力发电机组齿形带疲劳状态的检测装置。
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US20190003460A1 (en) 2019-01-03
AU2017279622B2 (en) 2018-08-23
KR20180022786A (ko) 2018-03-06
AU2017279622A1 (en) 2018-02-01
KR101993103B1 (ko) 2019-06-25
US10995736B2 (en) 2021-05-04
CN107630793B (zh) 2018-11-20
EP3315771B1 (en) 2021-06-02
EP3315771A1 (en) 2018-05-02
ES2877143T3 (es) 2021-11-16
EP3315771A4 (en) 2019-03-13

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