CN107356384B - A kind of method of the state of blade in monitoring wind power plant calculates equipment and system - Google Patents
A kind of method of the state of blade in monitoring wind power plant calculates equipment and system Download PDFInfo
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- CN107356384B CN107356384B CN201710617375.6A CN201710617375A CN107356384B CN 107356384 B CN107356384 B CN 107356384B CN 201710617375 A CN201710617375 A CN 201710617375A CN 107356384 B CN107356384 B CN 107356384B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
- G01M5/0033—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by determining damage, crack or wear
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
- G01M5/0066—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by exciting or detecting vibration or acceleration
Abstract
The invention discloses a kind of methods of the state of blade in monitoring wind power plant, each blade surface is arranged with 3-axis acceleration sensor, the method comprising the steps of: for each blade, obtaining current vibration data and historical vibration data that the blade puts dance direction and blade edgewise direction in blade；For wherein each direction, operational modal analysis is carried out to each group of vibration data of the direction, obtains the frequency distribution in the acquisition time blade primary modal frequencies of each group of vibration data；Obtain the time trend of the frequency distribution of blade primary modal frequencies；Select the highest predetermined number frequency line of energy in the time trend of frequency distribution；Count the frequency Distribution value of the Frequency point in predetermined number frequency line；It is whether abnormal based on the state monitored to determine blade to the frequency values changes in distribution counted.Invention additionally discloses system, calculating equipment and the computer readable storage mediums of the state of blade in a kind of monitoring wind power plant.
Description
Technical field
The present invention relates to the states of blade in blade state monitoring field more particularly to a kind of monitoring wind power plant
Method calculates equipment and system.
Background technique
Wind-power electricity generation is received significant attention as a kind of important renewable new energy.And the blade of wind power plant
As the key position for capturing wind energy in wind power generating set, health status directly influences the operation of entire wind power system.
The structure and stress of blade are considerably complicated, since the working environment of blade is very severe, spring, summer, autumn and winter, scorching summer and freezing winter, thunder and lightning, ice
Hail, sleet, sand and dust etc. be likely at any time to fan blade generate damage, therefore blade become wind power plant in be easiest to
The position of appearance accident.According to statistics, the accident that blade injury generates accounts for about the one third of the total accident of blower.Common fan blade
It will appear the typical fatigue failure such as crackle, layering, gap and unsticking after being damaged, these damage the fortune with blade
It goes and constantly accumulates and eventually result in leaf destruction.Fatigue failure is generated to during fracture in blade, and blade is at runtime
Strain or deformation in various degree can occur for each section.Necessary shutdown maintenance when damage accident occurs for usual blade, once while leaf
Piece fractures, then probably damages tower, this will lead to the maintenance cost of great number, and very big economic damage is also brought to wind power plant
It loses.Therefore, if the health status of blade can be monitored effectively, machine halt trouble caused by fan blade can must be effectively reduced, is avoided
Generate great economic loss.
Currently, the common monitoring means of the blade state of wind power plant has foil gauge stress monitoring method and fiber grating
Monitoring method etc..These monitoring methods suffer from its applicable defect type and advantage and disadvantage, and technical requirements are harsher, monitor
Journey is influenced by running environment, weather conditions and other factors, and usually require by complicated detecting instrument equipment and
The intervention of the analysis personnel of profession can just do result judgement, significantly increase monitoring cost and universal degree of difficulty.
Therefore a kind of scheme of the state of the blade of more advanced monitoring wind power plant is needed.
Summary of the invention
In consideration of it, the present invention provides a kind of schemes of the blade deformation of new monitoring wind power plant, to try hard to solve
Certainly or at least alleviate above there are the problem of.
According to an aspect of the invention, there is provided a kind of method for monitoring the state of blade in wind power plant, often
A blade surface is arranged with 3-axis acceleration sensor, and method is comprising steps of for each blade, via its 3-axis acceleration
Sensor obtains the current vibration data and historical vibration data that the blade puts dance direction and blade edgewise direction in blade；For
Each direction in blade pendulum dance direction and blade edgewise direction, in the current vibration data and historical vibration data of the direction
Each group of vibration data carry out operational modal analysis, obtain the acquisition time blade modal frequency in each group of vibration data
Frequency distribution；According to obtained multiple frequency distribution and the acquisition time of corresponding vibration data, blade modal frequency is obtained
Frequency distribution time trend；Select the highest predetermined number frequency of energy in the time trend of frequency distribution
Line, every frequency line include multiple Frequency points；Count the frequency values point of the Frequency point in selected predetermined number frequency line
Cloth；It is whether abnormal based on the state monitored to determine blade to the frequency values changes in distribution counted.
Optionally, in the method according to the invention, based on the shape for determining blade to the monitoring of frequency values changes in distribution
Whether Yi Chang step includes: to determine when the variation for monitoring Frequency point number on any frequency values is more than predetermined ratio to state
The abnormal state of blade.
Optionally, in the method according to the invention, predetermined number frequency line is 3 or 4.
Optionally, in the method according to the invention, method is further comprised the steps of: for each blade, via thirdly axis adds
Velocity sensor obtains the blade in the current vibration data in blade tip direction；Calculate the direction current vibration data when
Domain index；Determined based on the monitoring to time domain index calculated the blade whether abnormal state, wherein any when monitoring
When time domain index is more than corresponding threshold value, the abnormal state of the blade is determined.
Optionally, in the method according to the invention, method further comprises the steps of: shimmy for blade pendulum dance direction and blade
Each direction in direction calculates the time domain index of the current vibration data of the direction；Based on to time domain index calculated
Monitoring come determine the blade whether abnormal state, wherein when monitor any time domain index be more than corresponding threshold value when, determine should
The abnormal state of blade.
Optionally, in the method according to the invention, method further comprises the steps of: shimmy for blade pendulum dance direction and blade
Each direction in direction obtains multiple blades of wind power plant in the frequency spectrum of the current vibration data of the direction；To more
Every two in a blade obtains the difference spectrum between the related coefficient and frequency spectrum of the current vibration data of two blades；
A similarity matrix is constituted according to acquired related coefficient and difference spectrum；Based on to non-diagonal line element in similarity matrix
Element monitoring come determine blade whether abnormal state, wherein when monitor any off diagonal element be less than predetermined threshold when it is true
The abnormal state of fixed blade.
Optionally, in the method according to the invention, the related coefficient of the current vibration data of two blades is obtained
Formula is as follows:
Wherein, two groups of vibration datas of two blades are respectively x, y, and mean value is respectivelyxi、yiRespectively vibrate
I-th of data in data x, y, Corr (x, y) are the related coefficient of two groups of vibration datas.
Optionally, in the method according to the invention, wind power plant has 3 blades, the formula of similarity matrix
It is as follows:
Wherein, AsimThree groups of vibration datas for similarity matrix, three blades are respectively x (t), y (t), z (t), when t is
Between, corresponding frequency spectrum is respectively PX (ω), PY (ω), PZ (ω), and ω is frequency, Corr (x, y), Corr (z, x), Corr
(z, x) is respectively the related coefficient of x (t) He y (t), z (t) and x (t), z (t) and y (t).
Optionally, in the method according to the invention, method further comprise the steps of: obtain blade blade tip direction,
After the vibration data of blade pendulum dance direction and blade edgewise direction, scheduled frequency range is carried out to acquired vibration data
Bandpass filtering.
Optionally, in the method according to the invention, scheduled frequency range is 2 times turns of frequencies to 8 hertz.
Optionally, in the method according to the invention, time domain index includes peak value and virtual value.
According to another aspect of the present invention, a kind of calculating equipment is provided, comprising: one or more processors；Storage
Device；And one or more programs, wherein one or more programs are stored in memory and are configured as by one or more
Processor executes, and one or more programs include the instruction for either executing according to the method for the present invention method.
According to another aspect of the present invention, a kind of computer-readable storage medium for storing one or more programs is provided
Matter, one or more programs include instruction, are instructed when executed by a computing apparatus, so that it is according to the present invention to calculate equipment execution
Method either in method.
It is according to the present invention there are one aspect, provide the state of blade in a kind of monitoring wind power plant is
System, comprising: be arranged in the 3-axis acceleration sensor of each blade surface；Calculating equipment according to the present invention；And cloth
The data collection station at wheel hub or cabin is set, suitable for receiving the vibration data of 3-axis acceleration sensor output and being transmitted to meter
Calculate equipment.
The scheme of the blade state of monitoring wind power plant according to the present invention, by being obtained to 3-axis acceleration sensor
The vibration data on emphasis direction taken carries out the extraction of modal frequency according to operational modal analysis and obtains frequency Distribution value,
The unsharp disadvantage of modal frequency in conventional monitoring methods is overcome, the current health status of blade can be effectively reacted, reach
To the purpose monitored on-line to fan blade state, while operating convenient, arrangement simply, cost is relatively low.In addition, also passing through
The monitoring that time domain index is carried out to the vibration data on all directions, further enhances the online prison to fan blade state
It surveys.
Detailed description of the invention
To the accomplishment of the foregoing and related purposes, certain illustrative sides are described herein in conjunction with following description and drawings
Face, these aspects indicate the various modes that can practice principles disclosed herein, and all aspects and its equivalent aspect
It is intended to fall in the range of theme claimed.Read following detailed description in conjunction with the accompanying drawings, the disclosure it is above-mentioned
And other purposes, feature and advantage will be apparent.Throughout the disclosure, identical appended drawing reference generally refers to identical
Component or element.
What Fig. 1 showed the state of blade in monitoring wind power plant according to an illustrative embodiment of the invention is
The structural schematic diagram of system 100；
Fig. 2 shows the structural schematic diagrams of calculating equipment 200 according to an illustrative embodiment of the invention；
Fig. 3 shows the side of the state of blade in monitoring wind power plant according to an illustrative embodiment of the invention
The flow chart of method 300；
Fig. 4 shows three groups of vibrations that three blades according to an illustrative embodiment of the invention put dance direction in blade
The time domain waveform schematic diagram of data；
Fig. 5 shows the spectrum diagram of three groups of vibration datas of exemplary embodiment shown in Fig. 4；
Fig. 6 shows the frequency distribution schematic diagram of modal frequency according to an illustrative embodiment of the invention；
Fig. 7 shows the time trend of the frequency distribution of modal frequency according to an illustrative embodiment of the invention
Schematic diagram；And
Fig. 8 shows the schematic diagram of frequency values changes in distribution according to an illustrative embodiment of the invention.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
Blade directly influences entire wind-powered electricity generation as the key position for capturing wind energy in wind power generating set, health status
The operation of system.The blade of wind power plant is generally very long, and in operation process, each position can all occur under the action of the wind
Different degrees of deformation.And with the growth of blade runing time, the fatigue damage of blade can gradually increase, these fatigues
Accumulation can cause blade to be abnormal.And when blade is abnormal (crackle, fracture, icing, lightning stroke etc.) in the process of running,
Blade sole mass or rigidity will be caused to change, final result is then that the vibration shape of blade itself changes, and vibration values are not
Stablize, modal frequency shifts.
Fig. 1 shows the system of blade state in monitoring wind power plant according to an illustrative embodiment of the invention
100 structural schematic diagram.As shown in Figure 1, the system 100 of blade state may include that three axis accelerate in monitoring wind power plant
Spend sensor 110, data collection station 120 and the calculating equipment 200 being connected with data collection station 120 by network.Wherein.Wind
Each blade surface of power generating equipment is arranged with a 3-axis acceleration sensor 110, specifically, can by be bolted in
Magnetic support, magnetic support are fixed on blade windward side at 1/3 length of blade of blade root by gluing or other fixed forms.Here
3-axis acceleration sensor 110 be 3 axis MEMS acceleration transducer, exportable blade three axial directions vibration data, three
A axial direction is respectively blade tip direction, blade pendulum dance direction and blade edgewise direction.
Data collection station 120 is arranged at the wheel hub or cabin of wind power plant, and 3-axis acceleration sensor 110 can
It is connect with passing through bucket cover plate hole by its cable with data collection station, and transmits vibration data to data collection station 120, it can also
It is wirelessly connect with data collection station and transmits vibration data.Data collection station 120 receives 3-axis acceleration and passes
Vibration data is sent to the calculating equipment 200 of distal end by the communication module of itself by the vibration data of sensor 110, can also be with
It will be transmitted to wind field looped network by wired mode, then be transmitted to by looped network and calculate equipment 200.Connection side of the present invention to equipment
Formula is with no restriction.
Fig. 2 shows the structural block diagrams of calculating equipment 200 according to an illustrative embodiment of the invention.The calculating equipment
200 can be implemented as such as file server, database server, apps server and network server, can also be with
Be embodied as include desktop computer and notebook computer configuration personal computer.In addition, the calculating equipment 200 can also be real
It is now a part of portable (or mobile) electronic equipment of small size, these electronic equipments can be such as cellular phone, individual
Digital assistants (PDA), personal media player device, wireless network browsing apparatus, personal helmet, application specific equipment,
It or may include the mixing apparatus of any of the above function.
In basic configuration 202, calculate equipment 200 typically comprise system storage 206 and one or more at
Manage device 204.Memory bus 208 can be used for the communication between processor 204 and system storage 206.
Depending on desired configuration, processor 204 can be any kind of processing, including but not limited to: microprocessor
((μ P), microcontroller (μ C), digital information processor (DSP) or any combination of them.Processor 204 may include all
Cache, processor core such as one or more rank of on-chip cache 210 and second level cache 212 etc
214 and register 216.Exemplary processor core 214 may include arithmetic and logical unit (ALU), floating-point unit (FPU),
Digital signal processing core (DSP core) or any combination of them.Exemplary Memory Controller 218 can be with processor
204 are used together, or in some implementations, and Memory Controller 218 can be an interior section of processor 204.
Depending on desired configuration, system storage 206 can be any type of memory, including but not limited to: easily
The property lost memory (RAM), nonvolatile memory (ROM, flash memory etc.) or any combination of them.System storage
Device 206 may include operating system 220, one or more program 222 and program data 224.In some embodiments,
Program 222 can be configured as to be referred to by one or more processor 204 using the execution of program data 224 on an operating system
It enables.
Calculating equipment 200 can also include facilitating from various interface equipments (for example, output equipment 242, Peripheral Interface
244 and communication equipment 246) to basic configuration 202 via the communication of bus/interface controller 230 interface bus 240.Example
Output equipment 242 include graphics processing unit 248 and audio treatment unit 250.They can be configured as facilitate via
One or more port A/V 252 is communicated with the various external equipments of such as display or loudspeaker etc.Outside example
If interface 244 may include serial interface controller 254 and parallel interface controller 256, they, which can be configured as, facilitates
Via one or more port I/O 258 and such as input equipment (for example, keyboard, mouse, pen, voice-input device, touch
Input equipment) or the external equipment of other peripheral hardwares (such as printer, scanner etc.) etc communicated.Exemplary communication is set
Standby 246 may include network controller 260, can be arranged to convenient for via one or more communication port 264 and one
A or multiple other calculate communication of the equipment 262 by network communication link.
Network communication link can be an example of communication media.Communication media can be usually presented as in such as carrier wave
Or computer readable instructions, data structure, program module in the modulated data signal of other transmission mechanisms etc, and can
To include any information delivery media." modulated data signal " can such signal, one in its data set or more
It is a or it change can the mode of encoded information in the signal carry out.As unrestricted example, communication media can be with
Wired medium including such as cable network or private line network etc, and it is such as sound, radio frequency (RF), microwave, infrared
(IR) the various wireless mediums or including other wireless mediums.Term computer-readable medium used herein may include depositing
Both storage media and communication media.
Wherein, the one or more programs 222 for calculating equipment 200 include for executing monitoring wind-force hair according to the present invention
The instruction of any one of method of state of blade in electric equipment.
Fig. 3 shows the side of the state of blade in monitoring wind power plant according to an illustrative embodiment of the invention
The flow chart of method 300.As shown in figure 3, the method 300 of the state of blade starts from step S310 in monitoring wind power plant.
For each blade, in step s310, the blade is obtained via its 3-axis acceleration sensor and puts dance in blade
The current vibration data and historical vibration data in direction and blade edgewise direction.
Blade waves direction and the vibration data of edgewise direction contains vibration shape information abundant when blade operation, therefore can
Index extraction and monitoring are carried out with vibration data of the emphasis to the two directions.
According to one embodiment of present invention, can be calculated for each direction in the two directions working as the direction
The time domain index of preceding vibration data, and determined based on the monitoring to time domain index calculated the blade whether abnormal state,
Wherein when monitoring that any time domain index is more than corresponding threshold value, the abnormal state of the blade is determined, and sound an alarm.Here
Threshold value can be adjusted according to the actual measurement of live certain time, time domain index then be usually virtual value and peak value.
Further, according to another embodiment of the invention, can also be come by interlobate frequency spectrum index of similarity
The similarity degree that vibrates between monitoring different leaves finds the exception occurred in blade with this lateral comparison.It specifically, can be right
Each direction in dance direction and blade edgewise direction is put in blade, multiple blades of acquisition wind power plant are in the direction
Current vibration data frequency spectrum.To the every two in multiple blades, the correlation of the current vibration data of two blades is obtained
Difference spectrum between coefficient and frequency spectrum, and a similarity matrix is constituted according to acquired related coefficient and difference spectrum,
Namely frequency spectrum index of similarity.Finally determined based on the monitoring to off diagonal element in similarity matrix blade whether shape
State is abnormal, wherein the abnormal state of blade is determined when monitoring that any off diagonal element is less than predetermined threshold.Threshold value is same
It can be adjusted according to the actual measurement of live certain time.
Wind power plant usually has 3 blades, then, it is assumed that three blades put three groups of vibrations in dance direction in blade
Data are respectively x (t), y (t), z (t), and t is the time, and corresponding frequency spectrum is respectively PX (ω), PY (ω), PZ (ω), and ω is
Frequency.Corr (x, y) is the related coefficient for calculating two groups of x (t), y (t) vibration datas, and calculation formula is as follows:
Wherein, two groups of vibration datas of two blades are respectively x, y, and mean value is respectivelyxi、yiRespectively vibrate
I-th of data in data x, y, Corr (x, y) are the related coefficient of two groups of vibration datas.
The spectrum difference spectrum of three groups of vibration datas between any two, which is calculated, is | PX (ω)-PY (ω) |, | PY (ω)-PZ
(ω) |, | PX (ω)-PZ (ω) |, related coefficient between any two is Corr (x, y), Corr (z, x), Corr (z, x), and ω is
Blade turns frequency.
Similarity matrix A can finally be calculatedsimFormula it is as follows:
While carrying out time domain index monitoring and the monitoring of frequency spectrum index of similarity, in step s 320, blade is put
Each direction in direction and blade edgewise direction is waved, to every in the current vibration data and historical vibration data of the direction
One group of vibration data carries out operational modal analysis (OMA), obtains the acquisition time blade mode frequency in each group of vibration data
The frequency distribution of rate.
Wherein, operational modal analysis is a kind of method for carrying out effective Modal Parameter Identification to structure under environmental excitation,
Without applying artificial excitation, environmental excitation is fully relied on.The mode in blade vibration data is extracted by operational modal analysis
Frequency, overcomes that the modal frequency energy obtained in conventional method is too low, the problem of extraction accuracy difference.Common operational modal point
The method of analysis has frequency domain method (peak extraction, frequency domain decomposition, improvement frequency domain decomposition etc.), time domain method (Random Decrement, stochastic subspace
Deng), time-frequency method (small echo correlation, Hilbert-Huang transform, least square method, support vector machines etc.) a few class methods, the present invention is not
The specific algorithm of operational modal analysis is limited,
After obtaining the frequency distribution of multiple modal frequencies of different time, in step S330, according to obtained
The acquisition time of multiple frequency distribution and corresponding vibration data, the time change for obtaining the frequency distribution of blade modal frequency become
Gesture.
In obtained time trend, there can be the higher frequency line of several energy.These frequency lines correspond to leaf
The modal information of piece, overall offset correspond to the variation of blade state.Therefore being monitored to these frequency lines can be effectively anti-
Reflect the state of blade.
In step S340, the highest predetermined number item of energy in the time trend of acquired frequency distribution is selected
(usually 3-4 item) frequency line, every frequency line include multiple Frequency points.
Then in step S350, the frequency Distribution value of the Frequency point in selected predetermined number frequency line is counted,
That is the number for counting these Frequency points in different frequency value is distributed.
Finally in step S360, it is based on the state to the monitoring of the frequency values changes in distribution counted to determine blade
No exception.For example, being determined when the variation for monitoring Frequency point number on any frequency values is more than predetermined ratio (such as 10%)
The abnormal state of blade, and sound an alarm.
Furthermore, it is contemplated that the vibration data in blade tip direction is with small vibration in normal state, but it is different vibration once occur
Often, then it represents that serious problems probably occurs in blade.Therefore it is also required to be monitored the vibration data in blade tip direction.
According to one embodiment of present invention, for each blade, the blade is obtained via its 3-axis acceleration sensor
Current vibration data in blade tip direction.Calculate the direction current vibration data time domain index, and by based on
The monitoring of the time domain index of calculation come determine the blade whether abnormal state, wherein when monitoring that any time domain index is more than corresponding
When threshold value, the abnormal state of the blade is determined, and sound an alarm.Time domain index equally includes virtual value and peak value.
Vibration data more than it should be pointed out that is by filtered data.Specifically, blade is being obtained in leaf
Piece blade tip direction, blade pendulum dance direction and blade edgewise direction vibration data after, need to acquired vibration data into
The bandpass filtering of row scheduled frequency range, scheduled frequency range are usually 2 times and turn frequency to 8 hertz, and filter can be 20 ranks
ButterWorth (Butterworth) bandpass filter.
Monitoring process of the invention is illustrated below in conjunction with attached drawing.
Fig. 4 shows three groups of vibrations that three blades according to an illustrative embodiment of the invention wave direction in blade
The time domain waveform schematic diagram of data.Fig. 5 then shows the spectrum diagram of this three groups of vibration datas.
After wherein one group of vibration data carries out operational modal analysis, the frequency of modal frequency as shown in FIG. 6 can be obtained
Distribution schematic diagram.And since the vibration data of blade in real system can have many group vibration datas with the variation of time,
Therefore it needs to finally obtain such as Fig. 7 each group of carry out operational modal analysis in current vibration data and historical vibration data
Shown in modal frequency frequency distribution time trend.
As shown in fig. 7, wherein there is 1,2, the 3 and 4 higher frequency lines of this several energy.This several frequency lines are extracted,
Statistics obtains the frequency Distribution value of wherein Frequency point, as shown in Figure 8.The variation being distributed in monitoring figure monitors any frequency values
Number determine that blade state is abnormal, alarms when changing more than 10%.
It should be appreciated that various technologies described herein are realized together in combination with hardware or software or their combination.From
And some aspects or part of the process and apparatus of the present invention or the process and apparatus of the present invention can take the tangible matchmaker of insertion
It is situated between, such as the program code in floppy disk, CD-ROM, hard disk drive or other any machine readable storage mediums (refers to
Enable) form, wherein when program is loaded into the machine of such as computer etc, and when being executed by the machine, which becomes real
Trample equipment of the invention.
In the case where program code executes on programmable computers, calculates equipment and generally comprise processor, processor
Readable storage medium (including volatile and non-volatile memory and or memory element), at least one input unit, and extremely
A few output device.Wherein, memory is configured for storage program code；Processor is configured for according to the memory
Instruction in the program code of middle storage executes various methods of the invention.
By way of example and not limitation, computer-readable medium includes computer storage media and communication media.It calculates
Machine readable medium includes computer storage media and communication media.Computer storage medium storage such as computer-readable instruction,
The information such as data structure, program module or other data.Communication media is generally modulated with carrier wave or other transmission mechanisms etc.
Data-signal processed passes to embody computer readable instructions, data structure, program module or other data including any information
Pass medium.Above any combination is also included within the scope of computer-readable medium.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be practiced without these specific details.In some instances, well known method, knot is not been shown in detail
Structure and technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of the various inventive aspects,
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. required to protect
Shield the present invention claims than feature more features expressly recited in each claim.More precisely, as following
As claims reflect, inventive aspect is all features less than single embodiment disclosed above.Therefore, it abides by
Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, wherein each claim itself
As a separate embodiment of the present invention.
The present invention may also include: A8, the method as described in A6, wherein wind power plant has 3 blades, similar
The formula for spending matrix is as follows:
Wherein, AsimThree groups of vibration datas for similarity matrix, three blades are respectively x (t), y (t), z (t), when t is
Between, corresponding frequency spectrum is respectively PX (ω), PY (ω), PZ (ω), and ω is frequency, Corr (x, y), Corr (z, x), Corr
(z, x) is respectively the related coefficient of x (t) He y (t), z (t) and x (t), z (t) and y (t).A9, the side as described in any of A1-8
Method, wherein the method also includes steps: blade is being obtained in blade tip direction, blade pendulum dance direction and the shimmy side of blade
To vibration data after, the bandpass filtering of scheduled frequency range is carried out to acquired vibration data.A10, the side as described in A9
Method, wherein scheduled frequency range is 2 times and turns frequency to 8 hertz.A11, the method as described in any of A1-10, wherein described
Time domain index includes peak value and virtual value.
Those skilled in the art should understand that the module of the equipment in example disclosed herein or unit or groups
Part can be arranged in equipment as depicted in this embodiment, or alternatively can be positioned at and the equipment in the example
In different one or more equipment.Module in aforementioned exemplary can be combined into a module or furthermore be segmented into multiple
Submodule.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment
Member or component are combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use any
Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed
All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power
Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
Meaning one of can in any combination mode come using.
In addition, be described as herein can be by the processor of computer system or by executing by some in the embodiment
The combination of method or method element that other devices of the function are implemented.Therefore, have for implementing the method or method
The processor of the necessary instruction of element forms the device for implementing this method or method element.In addition, Installation practice
Element described in this is the example of following device: the device be used for implement as in order to implement the purpose of the invention element performed by
Function.
As used in this, unless specifically stated, come using ordinal number " first ", " second ", " third " etc.
Description plain objects, which are merely representative of, is related to the different instances of similar object, and is not intended to imply that the object being described in this way must
Must have the time it is upper, spatially, sequence aspect or given sequence in any other manner.
Although the embodiment according to limited quantity describes the present invention, above description, the art are benefited from
It is interior it is clear for the skilled person that in the scope of the present invention thus described, it can be envisaged that other embodiments.Additionally, it should be noted that
Language used in this specification primarily to readable and introduction purpose and select, rather than in order to explain or limit
Determine subject of the present invention and selects.Therefore, without departing from the scope and spirit of the appended claims, for this
Many modifications and changes are obvious for the those of ordinary skill of technical field.For the scope of the present invention, to this
Invent done disclosure be it is illustrative and not restrictive, it is intended that the scope of the present invention be defined by the claims appended hereto.
Claims (13)
1. the method for the state of blade, each blade surface are arranged with 3-axis acceleration biography in a kind of monitoring wind power plant
Sensor, the method includes the steps:
For each blade,
The blade is obtained in the current vibration number in blade pendulum dance direction and blade edgewise direction via its 3-axis acceleration sensor
According to and historical vibration data；
Each direction in dance direction and blade edgewise direction is put for blade,
Operational modal analysis is carried out to each group of vibration data in the current vibration data and historical vibration data of the direction, is obtained
To the frequency distribution of the acquisition time blade modal frequency in each group of vibration data；
According to obtained multiple frequency distribution and the acquisition time of corresponding vibration data, the frequency point of blade modal frequency is obtained
The time trend of cloth；
The highest predetermined number frequency line of energy, the every frequency line in the time trend of the frequency distribution is selected to include
Multiple Frequency points；
Count the frequency Distribution value of the Frequency point in selected predetermined number frequency line；
It is whether abnormal based on the state monitored to determine blade to the frequency values changes in distribution counted.
2. the method for claim 1, wherein described based on the shape for determining blade to the monitoring of frequency values changes in distribution
Whether Yi Chang step includes: state
When the variation for monitoring Frequency point number on any frequency values is more than predetermined ratio, the abnormal state of blade is determined.
3. the method for claim 1, wherein predetermined number frequency line is 3 or 4.
4. the method for claim 1, wherein the method also includes steps:
For each blade,
The blade is obtained in the current vibration data in blade tip direction via its 3-axis acceleration sensor；
Calculate the time domain index of the current vibration data of the direction；
Determined based on the monitoring to time domain index calculated the blade whether abnormal state, wherein when monitoring any time domain
When index is more than corresponding threshold value, the abnormal state of the blade is determined.
5. the method for claim 1, wherein the method also includes steps:
Each direction in dance direction and blade edgewise direction is put for blade,
Calculate the time domain index of the current vibration data of the direction；
Determined based on the monitoring to time domain index calculated the blade whether abnormal state, wherein when monitoring any time domain
When index is more than corresponding threshold value, the abnormal state of the blade is determined.
6. method according to claim 2, wherein further comprise the steps of:
Each direction in dance direction and blade edgewise direction is put for blade,
Frequency spectrum of the multiple blades of acquisition wind power plant in the current vibration data of the direction；
To the every two in multiple blades, between the related coefficient and frequency spectrum that obtain the current vibration data of two blades
Difference spectrum；
A similarity matrix is constituted according to acquired related coefficient and difference spectrum；
Determined based on the monitoring to off diagonal element in similarity matrix blade whether abnormal state, wherein when monitoring
Any off diagonal element determines the abnormal state of blade when being less than predetermined threshold.
7. method as claimed in claim 6, wherein obtain the formula of the related coefficient of the current vibration data of two blades
It is as follows:
Wherein, two groups of vibration datas of two blades are respectively x, y, and mean value is respectivelyxi、yiRespectively vibration data
X, i-th of data in y, Corr (x, y) are the related coefficient of two groups of vibration datas.
8. method as claimed in claim 6, wherein wind power plant has 3 blades, and the formula of similarity matrix is such as
Under:
Wherein, AsimThree groups of vibration datas for similarity matrix, three blades are respectively x (t), y (t), z (t), and t is the time,
Its corresponding frequency spectrum is respectively PX (ω), PY (ω), PZ (ω), and ω is frequency, Cprr (x, y), Corr (z, x), Corr (z, x)
The related coefficient of respectively x (t) and y (t), z (t) and x (t), z (t) and y (t).
9. the method as described in any of claim 1-8, wherein the method also includes steps:
Blade is being obtained after the vibration data in blade tip direction, blade pendulum dance direction and blade edgewise direction, to being obtained
The vibration data taken carries out the bandpass filtering of scheduled frequency range.
10. method as claimed in claim 4, wherein the time domain index includes peak value and virtual value.
11. a kind of calculating equipment, comprising:
One or more processors；
Memory；And
One or more programs, wherein one or more of programs are stored in the memory and are configured as by described one
A or multiple processors execute, and one or more of programs include for executing in method described in -10 according to claim 1
Either method instruction.
12. a kind of computer readable storage medium for storing one or more programs, one or more of programs include instruction,
Described instruction when executed by a computing apparatus so that the calculating equipment executes according to claim 1 in method described in -10
Either method.
13. the system of the state of blade in a kind of monitoring wind power plant, comprising:
It is arranged in the 3-axis acceleration sensor of each blade surface；
It is as claimed in claim 11 to calculate equipment；And
The data collection station being arranged at wheel hub or cabin, suitable for receiving the vibration data and biography of 3-axis acceleration sensor output
Transport to calculating equipment.
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| CN109899244B (en) * | 2017-12-08 | 2020-09-29 | 北京普华亿能风电技术有限公司 | Wind driven generator fault judgment system and method |
| CN110296053B (en) * | 2018-03-23 | 2020-06-05 | 北京金风慧能技术有限公司 | Fatigue damage monitoring method and device for wind driven generator blade |
| CN110541794B (en) * | 2018-05-29 | 2020-07-31 | 北京金风慧能技术有限公司 | Early warning method, device, equipment, medium and wind generating set for blade abnormity |
| CN109443735B (en) * | 2018-12-21 | 2024-03-19 | 杭州戬威机电科技有限公司 | Detection device for surface defects of wind driven generator blade |
| CN110849645B (en) * | 2019-09-23 | 2021-04-23 | 红相股份有限公司 | Initial diagnosis method for GIS mechanical fault |
| CN110658008A (en) * | 2019-09-23 | 2020-01-07 | 红相股份有限公司 | Preliminary diagnosis method for three-phase box-separated GIS mechanical fault |
| CN111173687B (en) * | 2019-12-30 | 2022-04-26 | 国核信息科技有限公司 | On-line monitoring device and method for crack damage of wind power fan blade |
| CN111080981B (en) * | 2019-12-30 | 2021-10-22 | 安徽容知日新科技股份有限公司 | Alarm method and alarm system of equipment and computing equipment |
| CN111141382B (en) * | 2020-01-15 | 2021-08-31 | 北京英华达软件工程有限公司 | Vibration-based multi-dimensional fan blade self-diagnosis device and method |
| CN112132786B (en) * | 2020-08-27 | 2022-07-26 | 上海扩博智能技术有限公司 | Method, system, device and medium for calculating fan stop state parameters |
| CN113467877B (en) * | 2021-07-07 | 2023-12-05 | 安徽容知日新科技股份有限公司 | Data display system and method |
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