CN108760034A - A kind of transformer vibration noise source positioning system and method - Google Patents
A kind of transformer vibration noise source positioning system and method Download PDFInfo
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- CN108760034A CN108760034A CN201810489162.4A CN201810489162A CN108760034A CN 108760034 A CN108760034 A CN 108760034A CN 201810489162 A CN201810489162 A CN 201810489162A CN 108760034 A CN108760034 A CN 108760034A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
Abstract
The invention discloses a kind of transformer vibration noise source positioning system and methods, are related to vibration noise source localization method, the system comprises helical array sensor, guide rail, signal processor, computer, traction electric machines.The helical array sensor is identified transformer vibration noise source using beamforming algorithm and near field acoustic holography algorithm, while optical camera takes transformer realtime graphic.Path transmits analysis module and is built-in with the typical transfer function database of each voltage class transformer, and includes crosstalk cancellation module, can be solved to the coupling of transmission path.Final result is stored in computer with data sheet and acoustic image diagram form.The present invention can be applied to the transformer under each voltage class, each operating condition.
Description
Technical field
The present invention and vibration noise source localization method more particularly to a kind of transformer vibration noise source positioning system and side
Method.
Background technology
Transformer is one of most important equipment in electric system, and it is expensive but effect is big and involves many areas.As
Large scale electrical power unit, once breaking down, maintenance cycle is long, difficulty is big, a large amount of manpower and materials is expended, to the peace of electric system
Full stable operation causes to seriously affect.Volume of transformer is huge, complicated, and vibration noise spectrum distribution is wide, to transformer
Vibration noise, which is monitored, to be helped to find transformer fault early.
In the prior art,《The Noise Sources Identification method of holography method is given birth to using plane vibration speed measurement and local near field》（The patent No.
201210157595.2）Noise Sources Identification is carried out using near field acoustic holography algorithm, the noise source low to volume small frequency has preferably
Effect,《Failure detector based on beam forming acoustic-image pattern-recognition and its detection method》（The patent No.：
201010204582.7）Noise source is identified using wave number shaping Algorithm, is had for the high noise source of frequency more satisfactory
Recognition effect, still, transformer noise spectrum distribution is wide, is singly difficult by near field acoustic holography algorithm or beamforming algorithm
To identify whole vibration noise sources of transformer.Simultaneously as volume of transformer is huge, near field acoustic holography measuring surface requires to have
Enough sizes, in order to reduce the quantity of sensor and cost-effective, near field acoustic holography algorithm needs to be considered as outside zero padding
It pushes away, to achieve the purpose that eliminate error.《Room noise source localization method based on Wave beam forming and transmission path》（The patent No.：
201110379622.6）The analysis method progress noise source for combining Wave beam forming and transmission path is positioned, TPA calculation amounts
It is small, registration, while finding the maximum noise source of contribution degree.But this method is good to high-frequency noise identifing source, is not had
There is consideration low-frequency noise.In addition, due to transformer device structure complexity, vibration noise is transmitted to sensor through solid, liquid, gas,
Transmission path function is complicated, and it is big that minor structure noise transmits decoupling difficulty.The resolving ideas of one feasibility is to use emerging sound
Sensor array is learned, identifies transformer vibration noise source by choosing suitable algorithm, and shake in conjunction with transmission path module analysis
Dynamic, the contribution degree of noise source finds the maximum vibration noise source position of transformer, but is constrained to that technology is also immature and transformation
The factors such as device is complicated carry out the research of transformer vibration noise source discrimination and are of great significance.
Invention content
In view of the deficiencies of the prior art, the present invention provides a kind of transformer vibration noise source positioning system and method.
The present invention is to solve above-mentioned technical problem by the following technical solutions：
A kind of transformer vibration noise source positioning system, the system comprises helical array sensor, guide rail, signal processor,
Computer, traction electric machine；
The helical array center sensor is equipped with optical camera；
The helical array sensor is connect with the signal processor, the signal processor and optical camera difference
It is connect with the computer, the traction electric machine connects helical array sensor, and draws the helical array sensor and leading
It is moved according to scheduled circuit on rail；
The helical array sensor, the monitoring of for transformer vibration noise obtain sound pressure signal；The signal processor, is used for
The signal of synchronous acquisition multichannel helical array sensor, and the signal of acquisition is divided into low frequency and high frequency；The computer,
For input measurement parameter and analysis parameter to be arranged；The figure that data and optical camera to signal processor transmission obtain
As being handled, transformer vibration noise source ultrasonogram is obtained, and shown.
Further, the traction electric machine is individual, is motor and signal processor and the calculating of uniform motion
Machine does not connect, and is moved on guide rail.
Further, the sound pressure signal that the signal processor acquires helical array sensor is using 350Hz as frequency side
Boundary is divided, and is low-frequency noise signal less than 350Hz, is HF noise signal more than 350Hz.
A kind of transformer vibration noise source localization method, includes the following steps：
（1）Set input measurement parameter and analysis parameter；
（2）Helical array sensor carries out sound pressure signal acquisition to transformer, optical camera obtains the realtime graphic of transformer；
（3）Signal processor carries out frequency domain division to collected sound pressure signal, is divided into low-frequency noise and high-frequency noise；
（4）High-frequency noise and low-frequency noise are identified, and tentatively find the position of the noise source of high-frequency noise and low-frequency noise
It sets；
（5）By conventional path analysis method measure each noise source to target location routing information and contribution degree；
（6）By the step（5）The routing information of measurement and the routing information of the noise source to the target location that actually measure carry out
Comparative analysis obtains error, judges whether the error is more than the threshold value set, if so, thening follow the steps（7）, if it has not, then holding
Row step（8）；
（7）Ignored noise source is found, and contribution of the noise source to target location is calculated by conventional path analysis method
Degree；
（8）Compare each noise source to the contribution degree of target location, finds the maximum noise source of contribution degree；
（9）In conjunction with the realtime graphic that optical camera obtains, to the step（4）And step（7）In transformer vibration noise
The superposition of identifing source result, which merges, forms transformer vibration noise source ultrasonogram, and is shown.
Further, the step（2）The acquisition of middle sound pressure signal uses scanning collection mode, the scanning collection mode
It is scanned for continous way or pace type.
Further, the step（4）High-frequency noises recognizer includes：Beamforming algorithm, characteristic value optimize wave
Beam shaping algorithm, minimum variance are undistorted corresponding wave number shaping Algorithm, orthogonal beams shaping Algorithm, rotary beam shaping Algorithm；
Low-frequency noise recognizer includes：Statistically optimal near-field acoustical holography used algorithm, orthogonal conformal structure near field acoustic holography algorithm, equivalent source
The near field acoustic holography algorithm of algorithm, the Patch Near-field Acoustical Holography algorithm based on wave superposition.
Further, the step（4）It is middle that high-frequency noise is identified using beamforming algorithm, it is complete using near field sound
Low-frequency noise is identified in breath algorithm.
Further, the step（5）Conventional path analysis method be built-in with the typical of each voltage class transformer and pass
Delivery function database and crosstalk cancellation module, solve the coupling of transmission path, obtain independent transmission path contribution degree.
Further, the step（7）Ignored noise is found using beamforming algorithm and near field acoustic holography algorithm
Source.
Compared with prior art, a kind of transformer vibration noise source positioning system and method provided by the present invention, have
Following benefit：
1, helical array sensor is using beamforming algorithm and near field acoustic holography algorithm identification transformer vibration noise source, more
Accurate identification transformer high and low frequency noise source, and each sound source contribution degree is analyzed by conventional path analysis method, it determines
The principal vibration noise source of transformer.
2, result is stored in the form of ultrasonogram and report, convenient for the intuitive position for judging transformer vibration noise source.
Description of the drawings
It, below will be to attached drawing needed in embodiment description in order to illustrate more clearly of technical scheme of the present invention
It is briefly described, it should be apparent that, the accompanying drawings in the following description is only one embodiment of the present of invention, general for this field
For logical technical staff, without creative efforts, other drawings may also be obtained based on these drawings.
Fig. 1 is a kind of structural schematic diagram of transformer vibration noise of the invention source positioning system.
Fig. 2 is the guide rail schematic diagram of the present invention.
Fig. 3 is a kind of flow diagram of transformer vibration noise of the invention source localization method.
Specific implementation mode
With reference to the attached drawing in the embodiment of the present invention, the technical solution in the present invention is clearly and completely described,
Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based in the present invention
Embodiment, the every other embodiment that those of ordinary skill in the art are obtained under the premise of not making creative work,
It shall fall within the protection scope of the present invention.
As depicted in figs. 1 and 2, a kind of transformer vibration noise source provided by the present invention positioning system, including spiral battle array
Sensor, guide rail, signal processor, computer, traction electric machine；
Helical array center sensor is equipped with optical camera；
Helical array sensor is connect with signal processor by signal wire, signal processor and optical camera respectively with calculating
Machine is connected by signal wire, traction electric machine connect helical array sensor, and draw helical array sensor on guide rail according to
Scheduled circuit movement.
Helical array sensor, the monitoring of for transformer vibration noise obtain sound pressure signal；Signal processor, for synchronizing
The signal of multichannel helical array sensor is acquired, and the signal of acquisition is divided into low frequency and high frequency；Computer, for being arranged
Input measurement parameter and analysis parameter；The image that data and optical camera to signal processor transmission obtain is handled,
Transformer vibration noise source distribution is plotted as Planar clouds diagram form, and transformer vibration noise identifing source result is taken the photograph with optics
The imaging results of camera are superimposed, and obtain transformer vibration noise source ultrasonogram, and shown, including image, data form etc..
It is deployed with PAK noise and vibration analysis softwares on computer, passes through the beamforming algorithm and near field sound built in software
Holographic Algorithm is identified and positions to low-and high-frequency noise signal, and finds ignored noise source, then passes through legacy paths point
Analysis method measures each noise source to the routing information and contribution degree of target location, and by the routing information and the noise that actually measures
The routing information of source to target location compares and analyzes；Conventional path analysis method is built-in with the allusion quotation of each voltage class transformer
Type transfer function data library and crosstalk cancellation module, solve the coupling of transmission path, obtain independent transmission path tribute
Degree of offering.
As shown in figure 3, a kind of transformer vibration noise source localization method, includes the following steps：
（1）Setting input measurement parameter and analysis parameter on computers；
（2）Helical array sensor draws through traction electric machine and carries out sound pressure signal acquisition to transformer, optical camera obtains and becomes
The realtime graphic of depressor；
（3）Signal processor carries out frequency domain division to collected sound pressure signal, is divided into low-frequency noise and high-frequency noise；
（4）High-frequency noise and low-frequency noise are identified respectively using beamforming algorithm and near field acoustic holography algorithm, and just
Step finds the position of the noise source of high-frequency noise and low-frequency noise；
（5）By conventional path analysis method measure each noise source to target location routing information and contribution degree；
（6）By step（5）The routing information of measurement and the routing information of the noise source to the target location that actually measure are analyzed,
Error is obtained, judges whether the error is more than the threshold value set, if so, thening follow the steps（7）, if it has not, thening follow the steps
（8）；
（7）Ignored noise source is found using beamforming algorithm and near field acoustic holography algorithm, and passes through conventional path analysis
Method calculates the noise source to the contribution degree of target location；
（8）Compare each noise source to the contribution degree of target location, finds the maximum noise source of contribution degree；
（9）In conjunction with the realtime graphic that optical camera obtains, to step（4）And step（7）In transformer vibration noise source know
Other result superposition, which merges, forms transformer vibration noise source ultrasonogram, and is shown.
A kind of 1 transformer vibration noise source positioning system of the present embodiment, the helical array sensor used is leaf type spiral shell
Revolve sensor array, totally 5 valve leaf, per valve leaf on be distributed with 15 sensors, entire array totally 105 sensors.According to
Live difference needs to select different helical array sensors.Helical array sensor is fixed on tripod, tripod bottom
Pulley is installed, is moved on guide rail for helical array sensor, transformer is placed among guide rail.In helical array sensor
The heart is equipped with 1 optical camera, and optical camera is mounted among helical array sensor support frame, imaging results and transformation
Device vibration noise identifing source result is superimposed, and transformer vibration noise source distribution is plotted as Planar clouds diagram form, is taken the photograph with optics
The image that camera obtains merges, and eventually forms transformer vibration noise source ultrasonogram.
1 a kind of transformer vibration noise source localization method of the present embodiment, using following steps：
（1）Setting input measurement parameter and analysis parameter on computers, select beamforming algorithm and near field acoustic holography algorithm,
The distance of input sample interval, helical array away from transformer；
（2）Start traction electric machine, helical array sensor at the uniform velocity moves on guide rail, around transformer acquisition transformer vibration in one week
Noise；Helical array sensor is in moving process, helical array sensor continuous acquisition sound pressure signal, optical camera shooting
Transformer realtime graphic；
（3）Signal processor to collected sound pressure signal carry out frequency domain division, be divided into less than 350HZ be low frequency signal and
It is high-frequency signal more than 350HZ；
（4）High-frequency noise is identified using beamforming algorithm, finds high-frequency noise source position；It is calculated using near field acoustic holography
Low-frequency noise is identified in method, finds low-frequency noise source position；
（5）Mould is eliminated by transformer vibration noise transmission path function data library built in conventional path analysis method and crosstalk
Block, measure each noise source to target location routing information and contribution degree；
（6）Routing information and helical array sensor measurement of the noise source that conventional path analysis method is measured to target location
To the routing information of noise to target location analyzed, obtain error, and judge the error whether be more than setting threshold value,
If executing step（7）, if it has not, executing step（8）；
（7）Ignored noise source is found using beamforming algorithm and near field acoustic holography algorithm, and passes through conventional path analysis
Method calculates the noise source to the contribution degree of target location；
（8）Compare each maximum noise source to the contribution degree of target location, finds the maximum noise source of contribution degree；
（9）Computer is to step（4）And step（7）In transformer vibration noise identifing source as a result, being obtained in conjunction with optical camera
The image taken forms and shows transformer vibration noise source ultrasonogram.
The present embodiment 2 difference from example 1 is that, the step of a kind of transformer vibration noise source localization method
（2）The acquisition of middle sound pressure signal uses scanning collection mode, scanning collection to be scanned using pace type, i.e. helical array sensor exists
After the lower mobile a distance of traction electric machine traction or an angle, helical array sensor acquires sound pressure signal, after acquisition
It is further continued for the acquisition that data are completed in rotation.
Above disclosed is only the specific implementation mode of the present invention, but scope of protection of the present invention is not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, can readily occur in variation or modification,
It is covered by the protection scope of the present invention.
Claims (9)
1. a kind of transformer vibration noise source positioning system, it is characterised in that：The system comprises helical array sensor, lead
Rail, signal processor, computer, traction electric machine；
The helical array center sensor is equipped with optical camera；
The helical array sensor is connect with the signal processor, the signal processor and optical camera difference
It is connect with the computer, the traction electric machine connects helical array sensor, and draws the helical array sensor and leading
It is moved according to scheduled circuit on rail.
2. transformer vibration noise according to claim 1 source positioning system, it is characterised in that：The helical array sensing
Device is leaf type helical array sensor, totally 5 valve leaf, and 15 sensors, entire array totally 105 is distributed on every valve leaf
Sensor.
3. transformer vibration noise according to claim 1 source positioning system, it is characterised in that：The signal processor pair
The sound pressure signal of helical array sensor acquisition is divided by frequency boundary of 350Hz, is low-frequency noise letter less than 350Hz
Number, it is HF noise signal more than 350Hz.
4. a kind of transformer vibration noise source localization method, it is characterised in that：Include the following steps：
（1）Set input measurement parameter and analysis parameter；
（2）Helical array sensor carries out sound pressure signal acquisition to transformer, optical camera obtains the realtime graphic of transformer；
（3）Signal processor carries out frequency domain division to collected sound pressure signal, is divided into low-frequency noise and high-frequency noise；
（4）High-frequency noise and low-frequency noise are identified, and tentatively find the position of the noise source of high-frequency noise and low-frequency noise
It sets；
（5）By conventional path analysis method measure each noise source to target location routing information and contribution degree；
（6）By the step（5）The routing information of measurement and the routing information of the noise source to the target location that actually measure carry out
Comparative analysis obtains error, judges whether the error is more than the threshold value set, if so, thening follow the steps（7）, if it has not, then holding
Row step（8）；
（7）Ignored noise source is found, and contribution of the noise source to target location is calculated by conventional path analysis method
Degree；
（8）Compare each noise source to the contribution degree of target location, finds the maximum noise source of contribution degree；
（9）In conjunction with the realtime graphic that optical camera obtains, to the step（4）And step（7）In transformer vibration noise
The superposition of identifing source result, which merges, forms transformer vibration noise source ultrasonogram, and is shown.
5. transformer vibration noise according to claim 4 source localization method, it is characterised in that：The step（2）Middle sound
It is that continous way or pace type scan to press the acquisition of signal to use scanning collection mode, the scanning collection mode.
6. transformer vibration noise according to claim 4 source localization method, it is characterised in that：The step（4）Middle height
Frequency Noise Identification algorithm includes：Beamforming algorithm, characteristic value optimization beamforming algorithm, minimum variance is undistorted corresponding wave number
Shaping Algorithm, orthogonal beams shaping Algorithm, rotary beam shaping Algorithm；Low-frequency noise recognizer includes：Count optimal near-field
Acoustical holography algorithm, orthogonal conformal structure near field acoustic holography algorithm, equivalent source algorithm near field acoustic holography algorithm, based on wave superposition
Patch Near-field Acoustical Holography algorithm.
7. transformer vibration noise according to claim 4 source localization method, it is characterised in that：The step（4）In adopt
High-frequency noise is identified with beamforming algorithm, low-frequency noise is identified using near field acoustic holography algorithm.
8. transformer vibration noise according to claim 4 source localization method, it is characterised in that：The step（5）Biography
System path analysis method is built-in with the typical transfer function database and crosstalk cancellation module of each voltage class transformer.
9. transformer vibration noise according to claim 4 source localization method, it is characterised in that：The step（7）Using
Beamforming algorithm and near field acoustic holography algorithm find ignored noise source.
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| CN111175698A (en) * | 2020-01-18 | 2020-05-19 | 国网山东省电力公司菏泽供电公司 | Transformer noise source positioning method, system and device based on sound and vibration combination |
| CN111397727A (en) * | 2020-03-23 | 2020-07-10 | 深圳供电局有限公司 | Vehicle-mounted detection equipment for measuring sound field of transformer |
| CN114863943A (en) * | 2022-07-04 | 2022-08-05 | 杭州兆华电子股份有限公司 | Self-adaptive positioning method and device for environmental noise source based on beam forming |
| CN115358110A (en) * | 2022-07-25 | 2022-11-18 | 国网江苏省电力有限公司淮安供电分公司 | Transformer fault detection system based on acoustic sensor array |
| CN117031154A (en) * | 2023-08-07 | 2023-11-10 | 国网山西省电力公司超高压变电分公司 | Transformer fault analysis method and system based on voiceprint recognition |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110806262A (en) * | 2019-11-21 | 2020-02-18 | 杭州汇测科技有限公司 | Multi-channel strain analysis test system and test method thereof |
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| CN111175698A (en) * | 2020-01-18 | 2020-05-19 | 国网山东省电力公司菏泽供电公司 | Transformer noise source positioning method, system and device based on sound and vibration combination |
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| CN111397727A (en) * | 2020-03-23 | 2020-07-10 | 深圳供电局有限公司 | Vehicle-mounted detection equipment for measuring sound field of transformer |
| CN114863943A (en) * | 2022-07-04 | 2022-08-05 | 杭州兆华电子股份有限公司 | Self-adaptive positioning method and device for environmental noise source based on beam forming |
| CN115358110A (en) * | 2022-07-25 | 2022-11-18 | 国网江苏省电力有限公司淮安供电分公司 | Transformer fault detection system based on acoustic sensor array |
| CN117031154A (en) * | 2023-08-07 | 2023-11-10 | 国网山西省电力公司超高压变电分公司 | Transformer fault analysis method and system based on voiceprint recognition |
| CN117031154B (en) * | 2023-08-07 | 2024-03-22 | 国网山西省电力公司超高压变电分公司 | Transformer fault analysis method and system based on voiceprint recognition |
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Application publication date: 20181106 |