CN106353406A - Wind turbine generation set bolt breakage monitoring device - Google Patents
Wind turbine generation set bolt breakage monitoring device Download PDFInfo
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- CN106353406A CN106353406A CN201610736764.6A CN201610736764A CN106353406A CN 106353406 A CN106353406 A CN 106353406A CN 201610736764 A CN201610736764 A CN 201610736764A CN 106353406 A CN106353406 A CN 106353406A
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- 238000012806 monitoring device Methods 0.000 title claims abstract description 21
- 238000003199 nucleic acid amplification method Methods 0.000 claims abstract description 26
- 230000003321 amplification Effects 0.000 claims abstract description 24
- 238000007405 data analysis Methods 0.000 claims abstract description 5
- 230000010365 information processing Effects 0.000 claims abstract description 4
- 230000004044 response Effects 0.000 claims description 4
- 241000218691 Cupressaceae Species 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 12
- 230000006870 function Effects 0.000 abstract description 11
- 238000001914 filtration Methods 0.000 abstract description 7
- 238000004458 analytical method Methods 0.000 abstract description 6
- 238000001514 detection method Methods 0.000 abstract description 3
- 238000007781 pre-processing Methods 0.000 abstract 3
- 238000013480 data collection Methods 0.000 abstract 2
- 238000000034 method Methods 0.000 description 13
- 230000008569 process Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 230000035945 sensitivity Effects 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 2
- 238000013139 quantization Methods 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 241000196324 Embryophyta Species 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000013016 damping Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
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- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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- 238000009434 installation Methods 0.000 description 1
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- 238000005457 optimization Methods 0.000 description 1
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- 238000005070 sampling Methods 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
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- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/14—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object using acoustic emission techniques
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/023—Solids
- G01N2291/0234—Metals, e.g. steel
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/26—Scanned objects
- G01N2291/269—Various geometry objects
- G01N2291/2691—Bolts, screws, heads
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- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
A wind turbine generation set bolt breakage monitoring device comprises an acoustic emission sensor for collecting acoustic emission signals, a prefixed amplification circuit for data preprocessing, a DSP (digital signal processor) data collection and preprocessing module for data analysis and a computer system for information processing. The wind turbine generation set bolt breakage monitoring device amplifies signals collected by the acoustic emission sensor through the prefixed amplification circuit and then transmits the same to the DSP data collection and preprocessing module on the basis of a PCI bus to complete quantitative collection, digital filtering and partial information processing, and data are sent to a universal computer through a bus to complete processing, analysis and display of the data and form a detection report. Through a DSP high-speed collection card based on a PCI bus, large-scale data can be collected and processed in real time, and a powerful display function and rich software programming resources of a PC are utilized to realize various functions like calculation, display and control.
Description
Technical field
The present invention relates to a kind of Wind turbines bolt fracture monitoring device, more particularly to one kind are based on dsp data processing
Bolt fracture monitoring device.
Background technology
In recent years, the installation quantity of Wind turbines gets more and more, and the problem of the Wind turbines exposing therewith is also increasingly
Many.Wind turbines belong to heavy mechanical equipment, and for plant equipment, bolt plays vital effect.In recent years, by
In lead to blade of bolt problem, tower fractures etc. happens occasionally.The mode that Traditional Man is patrolled and examined is less efficient, time-consuming takes
Power, is particularly carried out to wind-powered machine unit hub bolt during manual inspection it is necessary to carry out in the state of Wind turbines are shut down, seriously
Constrain the production efficiency of Wind turbines.Therefore, it is badly in need of a kind of Wind turbines bolt fracture automatic monitoring system of automatization.
Content of the invention
It is an object of the invention to overcoming the defect of prior art, provide a kind of high degree of automation, manual intervention few, prison
Survey the Wind turbines bolt fracture monitoring device that result is accurate, certainty of measurement is high.
For achieving the above object, present invention employs following technical scheme:
A kind of Wind turbines bolt fracture monitoring device, including the acoustic emission sensor for gathering acoustic emission signal, use
Pre-amplification circuit in data prediction, dsp data acquisition and the pretreatment module for data analysiss and be used at information
The computer system of reason.
Further, the wd type wideband response difference structure acoustic emission of the model pac company of described acoustic emission sensor passes
Sensor.
Further, described pre-amplification circuit is included for suppressing the preamplifier of signal to noise ratio, for selecting frequency band
Band filter and the main amplifier amplifying for signal.
Further, described dsp data acquisition and pretreatment system adopt the tms320f2812 of ti company as core processing
Device, has extended out the cy7c1041cv33sram of cypress company.
Sound is sent out the signal of sensor acquisition through preposition amplification by a kind of present invention Wind turbines bolt fracture monitoring device
Circuit transmits to dsp data acquisition and pretreatment module, the dsp data acquisition based on pci bus and pretreatment module after amplifying
The quantization collection, digital filtering and the partial information that complete acoustic emission signal are processed, and deliver to general purpose computer by data through bus,
The process of data, analysis and display are completed by it, and forms examining report.Adopted based on the dsp high speed of pci bus by adopt
Truck, can Real-time Collection and process large-scale data, realized using the powerful display function of pc and abundant software programming resource
The various functions such as calculate, show, controlling.
Brief description
Fig. 1 is a kind of overall structure diagram of present invention Wind turbines bolt fracture monitoring device；
Fig. 2 is a kind of pre-amplification circuit structure chart of present invention Wind turbines bolt fracture monitoring device；
Fig. 3 is a kind of dsp data acquisition and the pretreatment module structure of present invention Wind turbines bolt fracture monitoring device
Schematic diagram；
Fig. 4 is a kind of workflow schematic diagram of present invention Wind turbines bolt fracture monitoring device.
Specific embodiment
Below in conjunction with accompanying drawing 1 to 4, further illustrate a kind of concrete reality of present invention Wind turbines bolt fracture monitoring device
Apply mode.A kind of present invention Wind turbines bolt fracture monitoring device is not limited to the following description.
As shown in figure 1, being a kind of overall structure diagram of present invention Wind turbines bolt fracture monitoring device, including use
Acoustic emission sensor in collection acoustic emission signal, the pre-amplification circuit for data prediction, the dsp for data analysiss
The computer system with pretreatment module with for information processing for the data acquisition.Dsp data acquisition and pretreatment system are sent out for sound
Penetrate the hardware core of signal processing system, the signal analysis and processing of computer system is Acoustic emission signal processing system
Software kernels, realize acoustic emission source monitoring function in conjunction with corresponding hardware unit.Dsp data acquisition can be high with pretreatment system
Speed, synchronous acquisition multiple channel acousto transmission signal, carry out high-speed transfer, and realize the real-time place of signal to pretreated signal
Reason, including 32 pci EBI acoustic emission sensor dsp data acquisitions of filter and pretreatment system pre-amplification circuit collection capacity
Change pretreatment logic control computer system information and process comprehensive analysis display marking wave and parameter extraction.Whole system is mainly appointed
Business is exactly to complete acoustic emission signal collection, data prediction, the systemic-function such as data analysis and process, display, storage.Its work
Flow process is that sound is sent out the signal of sensor acquisition and transmitted to dsp control process system after pre-amplification circuit amplification, based on pci
The dsp of bus processes quantization collection, digital filtering and the partial information process that card completes acoustic emission signal, by data through bus
Deliver to general purpose computer, the process of data, analysis and display are completed by it, and bolt fracture situation is reported to the police.
The acoustic emission signal receiving is exported by acoustic emission sensor as electronic signals, and its performance is non-to test result
Often important, it is an important step of acoustic emission detection.Acoustic emission sensor is typically made up of piezoceramic material, different frequency
Rate has different sensitivity, mainly considers its resonant frequency, sensitivity, temperature range, version, signaling interface during selection
Etc. factor, the particularly resonant frequency of sensor should meet the demand of Devices to test, material, couplant etc., during practical application
The sensor of different structure and performance can be adopted according to different testing goals and environment.The present invention needs acoustic emission signal is entered
Traveling wave conformal analysis, the acoustic emission signal frequency of detection, in 100k hz～300khz scope, has therefore selected the wd type of pac company
Wideband response difference structure acoustic emission sensor.This device belongs to piezoelectric transducer, damping is little, resonance when have up to+
The sensitivity of 60db, carries a width of 100khz～2mhz.
As shown in Fig. 2 being the structure chart of pre-amplification circuit of the present invention.Voltage signal due to acoustic emission sensor output
Very weak, the sometimes as little as microvolt order of magnitude, if so faint signal sends into Acoustic emission signal processing unit through Long line transmission again,
Signal to noise ratio must reduce.Therefore, it is necessary to arrange preamplifier near acoustic emission sensor.Pre-amplification circuit of the present invention
Main inclusion preamplifier, wave filter and three parts of main amplifier, have the work(such as impedance matching, pre-amplification and suppression noise
Can, the function of wave filter is filtering environmental noise, and master is put device and then had acoustic emission signal voltage amplification function.Through preposition amplification
Faint acoustic emission signal can be extracted from noise by the process of circuit, again through the long line of coaxial cable for high frequency after amplification
It is transferred to the processing unit of signal.
Preamplifier has the characteristics that low noise, high-gain, should also have than larger out-put dynamic range.Equivalent make an uproar
Acoustic impedance will be matched with the output impedance of signal source, in case signal attenuation.Common mode rejection ratio is high, makes preamplifier and sound
Emission sensor realizes noise matching, to reach the noise coefficient of minimum, improves signal to noise ratio.Detect faint acoustic emission signal
When, because signal is microvolt level, noise is likely to be breached millivolt level, and its peak value of the noise of amplification can lead to amplifier rear class mistake
Carry, cause mission nonlinear distortion, produce larger measurement error.The therefore important technical specification noise of preamplifier one
Level generally should be smaller than 10 microvolts, and the voltage amplification factor of this one-level is unsuitable too high, to prevent from transshipping, is typically set to 10 times.Separately
Outward adapted single ended input preamplifier is wanted for single-ended device, adapted differential input preamplifier, the latter are wanted for differentiator
Than the former, there is certain anti-common mode disturbances ability.Therefore select differential amplification mode herein, the signal of acoustic emission sensor send
Enter the differential input terminal of preamplifier, acoustic emission signal produces the signal of opposite polarity, their difference is exaggerated, electromagnetism is done
The polarity disturbing signal is identical, thus inhibits common-mode signal, and signal to noise ratio obtains larger raising.
Wave filter has band-pass filtering function, combines bandpass filtering using by low pass filter and high pass filter
Device.The operating frequency of wave filter is to determine according to the acoustic emission signal frequency of environment noise and material itself.Mechanical noise one
As all below tens kilo hertzs, if adopting band filter, determine operating frequency f after, as long as determining relative bandwidth again
△ f/f.△ f/f is wide to introduce outside noise, narrow acoustic emission signal can be made to reduce, need compromise consider,
Main amplifier completes signal amplifying function, for adapting to different input signal amplitudes, the adjustable gain of amplifier, increases
Benefit switch is arranged in this grade of amplification, not destroy the noise characteristic of system.Acoustic emission signal can be improved by main amplifier
20～60db, is required with the incoming level meeting follow-up a/d interface circuit.
As shown in figure 3, being the structural representation of data acquisition of the present invention and pretreatment system.Acoustic Emission Signal Energy is main
Concentrate on 100khz-150khz it is desirable to data collecting system high-speed sampling carry out preliminary treatment, with dsp and fpga as core
The embedded data acquisition processing system constituting, its single command cycle reaches ns level, both can high speed acquisition data, can pass through again
Pci bus and computer system exchange data.The present invention selects the tms320f2812 of ti company as core processor, 32
Cpu, using Harvard bus structures, can carry out 32 multiplyings, the execution speed of 150mps makes the instruction cycle be reduced to
6.7ns, can quick response interrupt and interrupt processing, using c/c++ and assembler language programming, is up to the flash of 128k word in piece
Memorizer fully meets programming needs.For convenience of program debugging and modification, system has extended out cypress company
Cy7c1041cv33sram, its capacity is 256k × 16, and read-write cycle clock reaches 12ns soon, can carry out zero-waiting with dsp
State interface, can be effectively ensured the arithmetic speed of dsp.
As shown in figure 4, the method that a kind of Wind turbines bolt fracture monitoring device proposed by the present invention is adopted mainly is wrapped
Include following steps:
(1) on Wind turbines tower body and paddle fixing bolt, acoustic emission sensor is installed, and by the acoustic emission receiving
Signal is filtered through pre-amplification circuit and amplifies；
(2) acoustic emission signal after filtering and amplification is sampled；
(3) sampled signal is carried out with shannon small echo entropy optimization and reassigns scale spectrum signal processing, extract Wind turbines
Tower body and the time-frequency characteristics parameter of paddle fixing bolt fracture acoustic emission signal；
(4) the time-frequency characteristics parameter according to the acoustic emission signal extracted, judges bolt fracture state.
Wherein, Wind turbines tower body and the time-frequency characteristics of paddle fixing bolt fracture acoustic emission signal are extracted in step (3)
The method of parameter comprises the steps:
(3.1) extract wavelet coefficient:
(3.2) coefficient processing of wavelet transformation is become probability distribution sequence pi:
Wherein, | wx(ai, t) | for wavelet coefficient values, m takes scale parameter not of the same race for wavelet coefficient；
(3.3) calculate shannon Wavelet Entropy it may be assumed that
(3.4) make fc=1, obtain shannon Wavelet Entropy and different fbThe relation curve of parameter, in relation curve when
When shannon Wind turbines bolt fracture monitoring method Wavelet Entropy is minimum, corresponding fbExactly control the optimum of wavelet shape
Bandwidth parameter；
(3.5) according to optimum fbCalculate optimum morlet wavelet basis function, wavelet basis function now and the sound collecting
Transmission signal mate most it may be assumed that
F in formulabIt is optimum bandwidth parameter, for the time frequency resolution of Balanced multi- wavelet, determine the speed of oscillating waveform decay
Degree；fcIt is mid frequency, determine the frequency of oscillation of wavelet shapes, desirable fc=1；
(3.6) calculate reassign scale spectrum it may be assumed that
Above content is to further describe it is impossible to assert with reference to specific preferred implementation is made for the present invention
Being embodied as of the present invention is confined to these explanations.For general technical staff of the technical field of the invention,
On the premise of present inventive concept, some simple deduction or replace can also be made, all should be considered as belonging to the present invention's
Protection domain.
Claims (4)
1. a kind of Wind turbines bolt fracture monitoring device it is characterised in that: include the acoustic emission for gathering acoustic emission signal
Sensor, the pre-amplification circuit for data prediction, the dsp data acquisition for data analysiss and pretreatment module and use
Computer system in information processing.
2. Wind turbines bolt fracture monitoring device according to claim 1 it is characterised in that: described acoustic emission sensor
Model pac company wd type wideband response difference structure acoustic emission sensor.
3. Wind turbines bolt fracture monitoring device according to claim 1 it is characterised in that: described pre-amplification circuit
Including for suppressing the preamplifier of signal to noise ratio, band filter and the main amplification for signal amplification for selecting frequency band
Device.
4. Wind turbines bolt fracture monitoring device according to claim 3 it is characterised in that: described dsp data acquisition
Adopt the tms320f2812 of ti company as core processor with pretreatment system, extend out cypress company
cy7c1041cv33sram.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610736764.6A CN106353406A (en) | 2016-08-26 | 2016-08-26 | Wind turbine generation set bolt breakage monitoring device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610736764.6A CN106353406A (en) | 2016-08-26 | 2016-08-26 | Wind turbine generation set bolt breakage monitoring device |
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| CN106353406A true CN106353406A (en) | 2017-01-25 |
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| CN201610736764.6A Pending CN106353406A (en) | 2016-08-26 | 2016-08-26 | Wind turbine generation set bolt breakage monitoring device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107911090A (en) * | 2017-12-12 | 2018-04-13 | 成都互聚科技有限公司 | Computer network gathered data processing system based on dsp processor |
| CN109521733A (en) * | 2017-09-20 | 2019-03-26 | 费希尔控制国际公司 | For making the method and apparatus of acoustic emission sensor multifunction |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4609994A (en) * | 1984-01-16 | 1986-09-02 | The University Of Manitoba | Apparatus for continuous long-term monitoring of acoustic emission |
| CN103389341A (en) * | 2012-05-10 | 2013-11-13 | 沈阳工业大学 | Windmill blade crack detection method |
| CN103901111A (en) * | 2014-03-24 | 2014-07-02 | 上海电机学院 | Nondestructive detection system and method of blades of wind turbine generator system |
| CN104391047A (en) * | 2014-12-16 | 2015-03-04 | 北京林业大学 | Wood damage monitoring device based on acoustic emission technique |
-
2016
- 2016-08-26 CN CN201610736764.6A patent/CN106353406A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4609994A (en) * | 1984-01-16 | 1986-09-02 | The University Of Manitoba | Apparatus for continuous long-term monitoring of acoustic emission |
| CN103389341A (en) * | 2012-05-10 | 2013-11-13 | 沈阳工业大学 | Windmill blade crack detection method |
| CN103901111A (en) * | 2014-03-24 | 2014-07-02 | 上海电机学院 | Nondestructive detection system and method of blades of wind turbine generator system |
| CN104391047A (en) * | 2014-12-16 | 2015-03-04 | 北京林业大学 | Wood damage monitoring device based on acoustic emission technique |
Non-Patent Citations (1)
| Title |
|---|
| 赵静荣等: "基于DSP的高精度复合材料声发射定位***", 《制造业自动化》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109521733A (en) * | 2017-09-20 | 2019-03-26 | 费希尔控制国际公司 | For making the method and apparatus of acoustic emission sensor multifunction |
| CN107911090A (en) * | 2017-12-12 | 2018-04-13 | 成都互聚科技有限公司 | Computer network gathered data processing system based on dsp processor |
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Application publication date: 20170125 |