CN109916612A - GIS mechanical breakdown electrification detection system based on acoustics imaging - Google Patents
GIS mechanical breakdown electrification detection system based on acoustics imaging Download PDFInfo
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- CN109916612A CN109916612A CN201910242118.8A CN201910242118A CN109916612A CN 109916612 A CN109916612 A CN 109916612A CN 201910242118 A CN201910242118 A CN 201910242118A CN 109916612 A CN109916612 A CN 109916612A
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Abstract
The present invention relates to a kind of GIS mechanical breakdown electrification detection system based on acoustics imaging.Its main feature is that: including sequentially connected sound intersity measurement unit, acquisition module and test host, wherein sound intersity measurement unit includes half-round metal bracket, 5 groups of sound intensity probes are along the circumferential direction installed on the half-round metal bracket, every group of sound intensity probe is the P-P type sound intensity probe being made of 2 sound intensity microphone sensors.Test proves that may be implemented to assess running GIS device state and provide fault diagnosis after using method of the invention.
Description
Technical field
The present invention relates to a kind of GIS mechanical breakdown electrification detection system based on acoustics imaging.
Background technique
Gas-insulating and fully-enclosed combined electrical apparatus (GIS) bears control as one of most important equipment in electric system
With the dual role of protection, handled again less than timely if failure has occurred in the process of running, it would be possible to give power grid band
Carry out serious harm.Mechanical breakdown is one of major failure type of GIS, accounts for about 39.3%.In addition, most gas leakages
All since mechanical breakdown generates, some mechanical failure eventually induces shelf depreciation.According to international conference on large HV electric systems and China Power
Survey of the research institute about high-voltage circuitbreaker failure, most of failures (70% and secondary event of major failure of breaker
The 86% of barrier) occur to relate generally to operating mechanism, monitoring arrangement and auxiliary device etc. in mechanical mechanism.Therefore, the mechanical event of GIS
The detection of barrier reduces its operation cost and has a very important significance for the safety and reliability of raising electric system.
The main method of power transmission and transforming equipment GIS mechanical fault detection is analysis of vibration signal method, early stage studies have shown that logical
Measurement vibration is crossed on the shell of GIS to detect the mechanical breakdowns such as contact is abnormal be feasible, moreover, typical vibration letter
It number can be used to detect internal Hidden fault, but vibration signal generally can only be on the shell of equipment or internal respective location is surveyed
Amount, thus be difficult to reflect the mechanical condition of equipment comprehensively.Research in recent years about GIS mechanical fault detection is seldom, at present still
Have no that systematic research is reported, research level remains in phase at beginning of the nineties in last century level.
Noise is generated by the vibration of mechanical surface, and mechanical breakdown causes the change for also causing radiated sound field while abnormal vibrations
Change.The noise that acoustic detection is issued using equipment is positioned and is identified to failure, has non-connecing property, easy to operate fast
It is prompt, the advantages that not affecting the normal operation of the equipment, especially suitable when vibration signal is not easy to measure or need fault location.Conventional
Acoustic detection is based primarily upon single channel measurement, can only obtain mechanical local acoustical feature at any time or the rule of frequency variation
Rule.Moreover, the anti-interference ability of acoustical signal is poor, especially in coherent acoustic field, point position is not easy to select.If measuring point selects
Improper, local acoustical feature is insensitive to failure；If the acoustical signal that the acoustical signal of the source of trouble is disturbed source is fallen into oblivion, conventional sound
Learning diagnostic techniques will no longer be applicable in.
Summary of the invention
The object of the present invention is to provide a kind of GIS mechanical breakdown electrification detection system based on acoustics imaging, can be to fortune
GIS device state in row is assessed and provides fault diagnosis.
A kind of GIS mechanical breakdown electrification detection system based on acoustics imaging, its special feature is that: including being sequentially connected
Sound intersity measurement unit, acquisition module and test host, wherein sound intersity measurement unit includes half-round metal bracket, in the semicircle
5 groups of sound intensity probes are along the circumferential direction installed, every group of sound intensity probe is by 2 sound intensity microphone sensors on shape metallic support
The P-P type sound intensity probe of composition.
Wherein acquisition module is data collecting card.
Wherein sound intensity probe provides the insulated column of tetra- seed type of 8mm, 12mm, 25mm and 50mm.
Test proves that may be implemented to assess running GIS device state after using method of the invention
And provide fault diagnosis.
Detailed description of the invention
Accompanying drawing 1 is the structural representation of the present invention；
Attached drawing 2 is logic theory block diagram of the invention.
Specific embodiment
Acoustic imaging technology is based on Microphone array measurement, and shows sound source in the distribution in space with image.Acoustic imaging technology
The distribution pattern of radiated sound field under different faults state can be excavated, the characteristic quantity sensitive to fault mode, thus energy are extracted
It is enough more effectively to position and identify mechanical breakdown.Acoustic imaging techniques are used for the detection of GIS mechanical breakdown by present system, by
The site environment ambient noise locating for GIS is larger, such as the noise frequency of transformer equipment equally concentrates on the frequency multiplication of 100Hz
Place, therefore omnidirectional microphone can not precise acquisition GIS noise signal.The directive sound intensity microphone probe composition array of apparatus
Measure the sound intensity signal of measurement equipment to be checked, the sound-filed simulation of reconstructing arrangement shell.It is proposed that the GIS mechanical breakdown based on acoustic imaging is examined
Disconnected method has a very important significance and use value for improving GIS device safe and stable operation.
In order to which the technical problems, technical solutions and beneficial effects solved by the present invention is more clearly understood, below in conjunction with
Accompanying drawings and embodiments, the present invention will be described in further detail.It should be appreciated that specific implementation described herein is only used to
It explains the present invention, is not intended to limit the present invention.
Noise source Radiation biodosimetry is carried out to GIS, measurement analysis mainly includes radiated noise, noise frequency characteristic point
The contents such as cloth, the identification of noise source and positioning.The main sounding of noise source zero can be identified by analyzing and positioning noise source
Part, to carry out diagnosis positioning to mechanical breakdown.Specific in the description to sound source radiation characteristic, sound pressure level, the sound intensity can be
The acoustics index such as grade, acoustic power level.Wherein sound power measurement can be obtained based on acoustic pressure or sound intensity technique.
In acoustic measurement, usually measurement acoustic pressure, this is because sound pressure measurement principle is simple, test equipment relative at
It is ripe.But sound pressure measurement is susceptible to ambient noise influence, generally requires to correct or measure in certain acoustic environment, such as
Anechoic room, reverberation chamber, are unfavorable for on-the-spot test.It is tested compared to acoustic pressure, sound intensity testing has more superiority.The sound intensity has side
Tropism is influenced smaller by scene.Sound intersity measurement and its spectrum analysis are conducive to study noise source, are able to carry out on-the-spot test
It solves the problems, such as many on-the-spot test, therefore is widely used in actual measurement.
It can be obtained according to sound intensity definition, certain point sound intensity is equal to the acoustic pressure and is multiplied with the particle rapidity and asks flat to the time
?.And particle rapidity is then acquired by acoustic pressure gradient.Particle velocity heel pressure gradient relation such as following formula:
P is atmospheric density in formula；U is particle rapidity；It is two microphone spacing；
It is that two microphone acoustic pressures are poor.When distance between two microphonesWhen less than tested wave length of sound, it is poor to use
Divide approximation.Above formula becomes:
P1, p2 indicate the surveyed acoustic pressure in sound intensity probe both ends；Middle position particle rapidity is approximately at this timeBy
This acquires the approximation along the two microphone direction sound intensity are as follows:
It is sound intensity time-domain expression above.Due to interested in the frequency characteristic publication of the sound intensity in Practical Project, because
Time-domain signal can be converted to frequency-region signal by carrying out Fourier transformation to measuring signal indirectly by this.The sound intensity can also be seen
Work is a kind of mathematics reflection of sound pressure signal and particle vibration velocity signal degree of correlation, and the degree of correlation of two column signals can in the time domain
To be characterized with correlation function.Sound intensity frequency distribution can be acquired to be shown below:
G in formula12It is the cross-spectrum of acoustic pressure 1 and acoustic pressure 2；Im(G12It (f)) is to G12Cross-spectrum takes imaginary part.
According to GIS design feature, designing sound intensity bracket is semicircle customization metallic support, as shown in Figure 1.It can fix thereon
10 sound intensity microphone sensors, every 2 sound intensity microphone sensors constitute one group of P-P sound intensity probe, totally 5 groups of sound intensity probes,
It is distributed on curved metal bracket.Sound intensity probe is 1/2 inch mic sensor.The sound intensity probe that is constituted provide 8mm,
Tetra- seed type insulated column of 12mm, 25mm, 50mm.Insulated column can be selected according to frequency range of concern.It is generally insulated column
Shorter, frequency band is wider, and lower frequency limit is higher.
Frequency range corresponding to 1 insulated column of table
Acquisition module is to be inserted into 4 slot USB CompactDAQ cabinet of National Instruments-cDAQ-9174
3 pieces of NI-9234 data collecting cards.Data acquisition module is connected to test host by USB and carries out data exchange.System software can
To realize that sound intensity array scanning is tested, equipment surface sound intensity cloud atlas is obtained, each frequency range can individually be shown.
System software is developed based on NI LabVIEW, cooperate the data acquisition hardware of NI, multi-channel data acquisition can be met
It is needed with vibration noise application.The functions such as signal acquisition, storage, playback, analysis can be completed without programming.Signal can be free of discontinuities
Continuous acquisition storage, analysis and signal processing function include power spectrum, filtering, octave (Octave), sound intensity distribution map etc..
The test macro built up using group, respectively to single-frequency sound source, multifrequency is superimposed sound source and carries out sound intensity imaging experiment.
Test surfaces are divided into the grid position that 4 rows 5 arrange, column and row horizontal, ordinate respectively as grid position will
The noise source of 500Hz is individually positioned in (1,2) on the left of test body, middle part (3,2), right side (5,2) progress acoustic imaging test.Test
The result shows that accurate single-frequency auditory localization may be implemented in the imaging system.And it can accurately show sound intensity distribution characteristics.
By the bifrequency superimposed noise source of 100Hz and 300Hz be individually positioned in (3,2) in the middle part of test body, middle part (3,3) into
The test of row acoustic imaging.Test result shows that, when multifrequency is superimposed, full frequency band sound intensity cloud atlas mainly reflects that total sound intensity sound-filed simulation is special
Sign.It extracts sound source 100Hz signal respectively and 300Hz signal is individually imaged, which may be implemented accurately to divide sound source
Positioning.And it can accurately show the sound intensity distribution characteristics of each frequency.
Further to verify frequency dividing imaging positioning accuracy, the bifrequency superimposed noise source of 100Hz and 300Hz is placed respectively
Acoustic imaging test is carried out in test body left (1,3), right side (5,3).Test result is consistent with previous experiments, divide registration and
It can accurate description sound field characteristics.
Acoustic imaging technology carries out source image reproduction by the information of measurement sound field, is generally used for noise source positioning, applies
Fault diagnosis field is restricted.Mechanical breakdown can generally cause the variation of acoustic pressure, use feature extraction and mode identification technology
Acoustic image is handled, for diagnosing the faint variation of sound source sound field.It is trained classification using support vector machines, is compared various
Under the conditions of discrimination, obtain optimal classification device parameter and feature extraction mode and for mechanical fault diagnosis.
Claims (3)
1. a kind of GIS mechanical breakdown electrification detection system based on acoustics imaging, it is characterised in that: including the sequentially connected sound intensity
Measuring unit, acquisition module and test host, wherein sound intersity measurement unit includes half-round metal bracket, in the half-round metal
5 groups of sound intensity probes are along the circumferential direction installed, every group of sound intensity probe is made of 2 sound intensity microphone sensors on bracket
P-P type sound intensity probe.
2. the GIS mechanical breakdown electrification detection system based on acoustics imaging as described in claim 1, it is characterised in that: wherein
Acquisition module is data collecting card.
3. the GIS mechanical breakdown electrification detection system based on acoustics imaging as described in claim 1, it is characterised in that: wherein
The insulated column of sound intensity probe offer tetra- seed type of 8mm, 12mm, 25mm and 50mm.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111397726A (en) * | 2020-03-23 | 2020-07-10 | 深圳供电局有限公司 | Fault detection system based on acoustic imaging |
| CN113109705A (en) * | 2021-04-14 | 2021-07-13 | 华北电力大学（保定） | GIS mechanical resonance spectrum analysis method based on sensitivity analysis of different resonance points |
| CN113267330A (en) * | 2021-05-14 | 2021-08-17 | 国网重庆市电力公司电力科学研究院 | GIS equipment mechanical fault detection system and method based on acoustic imaging |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2233083Y (en) * | 1995-05-22 | 1996-08-14 | 高洪淼 | Stethoscope for machanical failure |
| CN101865789A (en) * | 2010-06-30 | 2010-10-20 | 上海交通大学 | Fault detecting device of near field acoustic holography sound image mode identification and detecting method thereof |
| CN203490359U (en) * | 2013-06-28 | 2014-03-19 | 国家电网公司 | Portable transformer station noise imaging positioning detecting device |
| TW201513944A (en) * | 2013-07-23 | 2015-04-16 | Butterfly Network Inc | Interconnectable ultrasound transducer probes and related methods and apparatus |
| CN104848900A (en) * | 2015-05-26 | 2015-08-19 | 国家海洋技术中心 | Array-type ocean acoustical signal measurement system |
| CN106231881A (en) * | 2016-07-29 | 2016-12-14 | 国网河南省电力公司南阳供电公司 | A kind of transformer station's electrical control cabinet noise and electromagnetic radiation monitoring shielding harness |
| CN106324459A (en) * | 2016-09-30 | 2017-01-11 | 国家电网公司 | GIS local discharging detecting system and method based on sound-electricity integration sensor |
| CN106353651A (en) * | 2016-09-30 | 2017-01-25 | 国家电网公司 | Fault location method of acoustic electric joint partial discharge detection based on BP (Back Propagation) network in GIS (Gas Insulated Switchgear) |
| CN107192943A (en) * | 2017-06-15 | 2017-09-22 | 国家电网公司 | Fault diagnosis method for switch in the GIS measured based on switching manipulation radiated electric field |
| CN107271022A (en) * | 2017-05-31 | 2017-10-20 | 国网山西省电力公司电力科学研究院 | A kind of transformer vibration noise Integrated Measurement System |
| CN107748314A (en) * | 2017-10-18 | 2018-03-02 | 国网重庆市电力公司北碚供电分公司 | Transformer Faults Analysis system based on sound wave shock detection |
-
2019
- 2019-03-28 CN CN201910242118.8A patent/CN109916612A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2233083Y (en) * | 1995-05-22 | 1996-08-14 | 高洪淼 | Stethoscope for machanical failure |
| CN101865789A (en) * | 2010-06-30 | 2010-10-20 | 上海交通大学 | Fault detecting device of near field acoustic holography sound image mode identification and detecting method thereof |
| CN203490359U (en) * | 2013-06-28 | 2014-03-19 | 国家电网公司 | Portable transformer station noise imaging positioning detecting device |
| TW201513944A (en) * | 2013-07-23 | 2015-04-16 | Butterfly Network Inc | Interconnectable ultrasound transducer probes and related methods and apparatus |
| CN104848900A (en) * | 2015-05-26 | 2015-08-19 | 国家海洋技术中心 | Array-type ocean acoustical signal measurement system |
| CN106231881A (en) * | 2016-07-29 | 2016-12-14 | 国网河南省电力公司南阳供电公司 | A kind of transformer station's electrical control cabinet noise and electromagnetic radiation monitoring shielding harness |
| CN106324459A (en) * | 2016-09-30 | 2017-01-11 | 国家电网公司 | GIS local discharging detecting system and method based on sound-electricity integration sensor |
| CN106353651A (en) * | 2016-09-30 | 2017-01-25 | 国家电网公司 | Fault location method of acoustic electric joint partial discharge detection based on BP (Back Propagation) network in GIS (Gas Insulated Switchgear) |
| CN107271022A (en) * | 2017-05-31 | 2017-10-20 | 国网山西省电力公司电力科学研究院 | A kind of transformer vibration noise Integrated Measurement System |
| CN107192943A (en) * | 2017-06-15 | 2017-09-22 | 国家电网公司 | Fault diagnosis method for switch in the GIS measured based on switching manipulation radiated electric field |
| CN107748314A (en) * | 2017-10-18 | 2018-03-02 | 国网重庆市电力公司北碚供电分公司 | Transformer Faults Analysis system based on sound wave shock detection |
Non-Patent Citations (2)
| Title |
|---|
| 张华: "声强测试和校准技术研究", 《中国优秀硕士论文集工程科技Ⅱ辑》 * |
| 钻孔灌注桩声波透射法检测应用研究: "谢晋鑫", 《中国优秀硕士论文集工程科技Ⅱ辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111397726A (en) * | 2020-03-23 | 2020-07-10 | 深圳供电局有限公司 | Fault detection system based on acoustic imaging |
| CN113109705A (en) * | 2021-04-14 | 2021-07-13 | 华北电力大学（保定） | GIS mechanical resonance spectrum analysis method based on sensitivity analysis of different resonance points |
| CN113109705B (en) * | 2021-04-14 | 2022-05-27 | 华北电力大学（保定） | GIS mechanical resonance spectrum analysis method based on sensitivity analysis of different resonance points |
| CN113267330A (en) * | 2021-05-14 | 2021-08-17 | 国网重庆市电力公司电力科学研究院 | GIS equipment mechanical fault detection system and method based on acoustic imaging |
| CN113267330B (en) * | 2021-05-14 | 2023-03-14 | 国网重庆市电力公司电力科学研究院 | GIS equipment mechanical fault detection system and method based on acoustic imaging |
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