CN109580221A - A kind of machine driving rumble spectrum anti-aliasing technology - Google Patents

A kind of machine driving rumble spectrum anti-aliasing technology Download PDF

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Publication number
CN109580221A
CN109580221A CN201811450298.0A CN201811450298A CN109580221A CN 109580221 A CN109580221 A CN 109580221A CN 201811450298 A CN201811450298 A CN 201811450298A CN 109580221 A CN109580221 A CN 109580221A
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China
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axis
spectrum
signal
machine driving
aliasing
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CN201811450298.0A
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Chinese (zh)
Inventor
康戈文
刘洁
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University of Electronic Science and Technology of China
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University of Electronic Science and Technology of China
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Priority to CN201811450298.0A priority Critical patent/CN109580221A/en
Publication of CN109580221A publication Critical patent/CN109580221A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • G01M13/02Gearings; Transmission mechanisms
    • G01M13/028Acoustic or vibration analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • G01M13/02Gearings; Transmission mechanisms
    • G01M13/023Power-transmitting endless elements, e.g. belts or chains
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The present invention proposes a kind of machine driving rumble spectrum anti-aliasing technology, is applied to machine driving vibration frequency specturm analysis, mechanical failure prediction and diagnosis.In application, a set of encoder is installed to each axis for needing to monitor on transmission chain first, by code device signal trigger data acquisition, to guarantee the corresponding circle of axis one 2MInteger sampling;Then the time sharing shared a set of data collecting plate card of code device signal that benefit is computerizedd control on each axis, acquisition meets corresponding axis 2 respectivelyMThe vibration signal of integer sampling;Then spectrum analysis is carried out respectively, obtains the corresponding sharp peaks signal map of each axis failure, and ignores fuzzy peak signal;Successively all axis are sampled by control sequence, spectrum analysis, calculate sharp peak remove non-pointed peak, obtain the sharp frequency spectrum of all axis;Using resulting all sharp frequency spectrums of pivot, synthesis system failure predication and diagnosis anti-aliasing frequency spectrum, to realize the accurate failure predication and diagnosis of complicated transmission chain.

Description

A kind of machine driving rumble spectrum anti-aliasing technology
Technical field
The invention belongs to machine driving vibration frequency specturm analysis, mechanical failure prediction and diagnostic field, especially a kind of transmission Anti-aliasing technology in the case of chain spectral aliasing.
Background technique
During the work time, mechanical oscillation are inevitable, and strong mechanical oscillation can work to mechanical transmission mechanism for machinery Performance generates strong influence, causes danger, for example, in wind-powered electricity generation, the offshore wind farm unit course of work, due to its severe work Make environment, body vibration easily causes failure, and maintenance cost is high, especially mechanical to accurate failure predication and diagnostic techniques to shake Dynamic detection is in urgent need;During unmanned, due to the artificial judgment without driver, vehicle condition lacks monitoring then There is huge security risk, is detected without effective vehicle mechanical transmission vibration, easily be easy to cause the failure of mechanism, lead to danger Generation.
Current mechanical vibration spectrum failure predication and diagnostic techniques only use one or several fixations to complicated transmission chain Sample frequency carry out spectrum analysis, or to an axis using encoder triggering sampling and ignore other axis, there are frequency spectrum moulds Phenomenon is pasted, cannot achieve Accurate Prediction and the diagnosis of complicated transmission chain, therefore still remain many hidden danger during machine work, It threatens to the security of the lives and property.
Each axis of mechanical drive train corresponds to a rotational frequency, the frequency that the failure on each axis is had nothing in common with each other.Current Spectrum analysis generally uses a sample frequency, if sample frequency meets one circle just 2 of axis rotationM(M is positive integer, general M >=8) integer sampling, it can solve the spectral aliasing problem of an axis, obtain the sharp fault-signal of an axis failure, and Other axis due to that can not meet 2 simultaneouslyMThe requirement of integer sampling, necessarily leads to aliasing, causes spectral line fuzzy, difficult With accurate judgement failure.
Summary of the invention
The present invention proposes a kind of machine driving rumble spectrum anti-aliasing technology, i.e., each axis installs a set of encoder, by Encoder guarantees a circle 2 of corresponding axisMInteger sampling.
The time sharing shared a set of data collecting plate card of the code device signal that benefit is computerizedd control on each axis, code device signal The acquisition of trigger data acquisition board meets corresponding axis 2MThen the vibration signal of integer sampling carries out spectrum analysis respectively.
The code device signal trigger data acquisition board of each axis carries out data acquisition, and the vibration signal of corresponding axis is all distinguished Meet one circle just 2 of rotationM(M is positive integer, general M >=8) integer sampling, and be all transmitted to a computer and carry out frequency Spectrum analysis obtains the corresponding sharp peaks signal map of each axis failure, and ignores fuzzy peak signal.
Successively all axis are sampled by control sequence, spectrum analysis, calculate sharp peak remove non-pointed peak, obtain all axis Sharp frequency spectrum, the sharp Spectrum synthesizing system failures prediction of all pivots and diagnosis anti-aliasing frequency spectrum.
Detailed description of the invention
Fig. 1 is anti-aliasing techniqueflow schematic diagram.
Fig. 2 is anti-aliasing technical application flow diagram.
Fig. 3 is the process schematic for synthesizing anti-aliasing spectrogram.
Specific embodiment
Technical solution according to the present invention, in the case where not changing substance spirit of the invention, this field it is general Technical staff can imagine the numerous embodiments of rumble spectrum anti-aliasing technology of the present invention.Therefore, embodiment party in detail below Formula and attached drawing are only the exemplary illustrations to technical solution of the present invention, and are not to be construed as whole of the invention or are considered as pair The limitation or restriction of technical solution of the present invention.
The common frequency spectrum such as the spectrum analysis in the present invention, including but not limited to FFT, quick FFT, rank comparison, cepstrum point Analysis method.
It is as follows that example is embodied in the present invention: vibrating sensor is mounted on the more violent axis of transmission chain vibration, vibration Signal accesses data collecting plate card after signal conditioner is handled.
Computer issues axis selection control signal control word and gives trigger signal distributor, and trigger signal distributor is more than one A switch is selected, signal is gated after the encoder shaping on corresponding axis as trigger signal and enters data collecting plate card, trigger data Analog input card carries out data acquisition;One trigger signal carries out a data sampling, and number of samples is higher than 2M(M is positive integer, one As M >=8) stop afterwards, select 2MA continuous data is as valid data.
N-th axis-a axis 2 is sequentially completed by computer control, strobe encoder trigger signalMA sampling is completed complete The valid data of portion's axis acquire.
Calculate the sharp peak of each axis frequency spectrum;The judgment method of sharp peak are as follows: the halfwidth at peak < sharp peak threshold value, or The width value of 3/4ths height at person peak < sharp peak threshold value.
Sharp peak is left behind on frequency spectrum, ignores non-pointed peak.
The sharp peak map of each axis synthesizes mechanical oscillation anti-aliasing frequency spectrum.
Spectrum analysis is carried out respectively to the valid data of each axis.

Claims (4)

1. machine driving rumble spectrum anti-aliasing technology, which is characterized in that each axis installs a set of encoder on transmission chain, Guarantee a circle 2 of corresponding axis by encoderNInteger sampling.
2. machine driving rumble spectrum anti-aliasing technology as described in claim 1, which is characterized in that benefit is computerizedd control respectively The time sharing shared a set of data collecting plate card of code device signal on a axis, code device signal trigger data acquisition, acquisition is full respectively The corresponding axis 2 of footNThe vibration signal of integer sampling.
3. machine driving rumble spectrum anti-aliasing technology as claimed in claim 2, which is characterized in that believe the sampling of each axis Number, spectrum analysis is carried out respectively, obtains the corresponding sharp peaks signal map of each axis failure, and ignore fuzzy peak signal.
4. machine driving rumble spectrum anti-aliasing technology as claimed in claim 3, which is characterized in that successively right by control sequence All axis samplings, spectrum analysis, calculating sharp peak remove non-pointed peak, utilize the sharp frequency spectrum of acquired all axis, synthesis system Failure predication of uniting and diagnosis anti-aliasing frequency spectrum realize the accurate failure predication and diagnosis of complicated transmission chain.
CN201811450298.0A 2018-11-30 2018-11-30 A kind of machine driving rumble spectrum anti-aliasing technology Pending CN109580221A (en)

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CN201811450298.0A CN109580221A (en) 2018-11-30 2018-11-30 A kind of machine driving rumble spectrum anti-aliasing technology

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Application Number Priority Date Filing Date Title
CN201811450298.0A CN109580221A (en) 2018-11-30 2018-11-30 A kind of machine driving rumble spectrum anti-aliasing technology

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CN109580221A true CN109580221A (en) 2019-04-05

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110988471A (en) * 2019-12-17 2020-04-10 清华大学 Wind driven generator variable pitch drive belt fault diagnosis method based on current signals

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102620807A (en) * 2012-03-22 2012-08-01 内蒙古科技大学 System and method for monitoring state of wind generator
CN202599657U (en) * 2012-01-16 2012-12-12 浙江运达风电股份有限公司 Integrated transmission chain testing device of wind generating set
CN103454495A (en) * 2013-09-13 2013-12-18 电子科技大学 Self-adaptive high-precision fast spectral analysis method
CN104198183A (en) * 2014-09-17 2014-12-10 重庆大学 Wind turbine drive chain vibration noise suppression and incipient fault feature extraction method
CN104407291A (en) * 2014-11-12 2015-03-11 南方电网科学研究院有限责任公司 Fault diagnosing system and method for wind generation set
CN106289115A (en) * 2015-05-14 2017-01-04 北京三叶瑞风能源科技有限公司 A kind of fan coupler based on computer technology misaligns trouble-shooter and method
CN107505135A (en) * 2017-08-15 2017-12-22 河北建设集团卓诚路桥工程有限公司 A kind of rolling bearing combined failure extracting method and system
JP2018521759A (en) * 2015-08-05 2018-08-09 ボストン サイエンティフィック サイムド,インコーポレイテッドBoston Scientific Scimed,Inc. Smart device for bladder mapping

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202599657U (en) * 2012-01-16 2012-12-12 浙江运达风电股份有限公司 Integrated transmission chain testing device of wind generating set
CN102620807A (en) * 2012-03-22 2012-08-01 内蒙古科技大学 System and method for monitoring state of wind generator
CN103454495A (en) * 2013-09-13 2013-12-18 电子科技大学 Self-adaptive high-precision fast spectral analysis method
CN104198183A (en) * 2014-09-17 2014-12-10 重庆大学 Wind turbine drive chain vibration noise suppression and incipient fault feature extraction method
CN104407291A (en) * 2014-11-12 2015-03-11 南方电网科学研究院有限责任公司 Fault diagnosing system and method for wind generation set
CN106289115A (en) * 2015-05-14 2017-01-04 北京三叶瑞风能源科技有限公司 A kind of fan coupler based on computer technology misaligns trouble-shooter and method
JP2018521759A (en) * 2015-08-05 2018-08-09 ボストン サイエンティフィック サイムド,インコーポレイテッドBoston Scientific Scimed,Inc. Smart device for bladder mapping
CN107505135A (en) * 2017-08-15 2017-12-22 河北建设集团卓诚路桥工程有限公司 A kind of rolling bearing combined failure extracting method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110988471A (en) * 2019-12-17 2020-04-10 清华大学 Wind driven generator variable pitch drive belt fault diagnosis method based on current signals
CN110988471B (en) * 2019-12-17 2020-11-03 清华大学 Wind driven generator variable pitch drive belt fault diagnosis method based on current signals

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