CN1402015A - Method and device for diagnosis of insulation ageing of electric machine based on small wave conversion - Google Patents
Method and device for diagnosis of insulation ageing of electric machine based on small wave conversion Download PDFInfo
- Publication number
- CN1402015A CN1402015A CN 02139425 CN02139425A CN1402015A CN 1402015 A CN1402015 A CN 1402015A CN 02139425 CN02139425 CN 02139425 CN 02139425 A CN02139425 A CN 02139425A CN 1402015 A CN1402015 A CN 1402015A
- Authority
- CN
- China
- Prior art keywords
- wavelet
- insulation
- wavelet transformation
- acoustical signal
- infin
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
A method based on wavelet transform for diagnosing the age state of electric machine's insulation includes beating the main insulating surface of stator bar of large electric generator, receiving the radiated sound wave by sound sensor, wavelet transforming to find out the modular maximum, and determining its age state. Its apparatus is composed of impact source, signal detector, sound sensor, data processing and display unit and software.
Description
One, affiliated technical field:
The invention belongs to technical field of motors, relate to the Non-Destructive Testing of high-rating generator major insulation ageing state, aging diagnostic method of particularly a kind of electrical machine insulation and device thereof based on wavelet transformation.
Two, background technology:
In the operational process of high-rating generator, stator winding insulation will stand the synergy of electricity, heat, mechanical stress and various environmental factors and wear out gradually.Wearing out of insulation not only reduced the physical strength and the electrical strength of motor, even also can cause the operation troubles of generator.Therefore, diagnose residual life all to have crucial meaning accurately to the insulation ag(e)ing state for operational reliability that improves generator and prediction generator stator insulation.
The electrical test of insulation system is traditional insulation ag(e)ing method for diagnosing status, and its ultimate principle is by applying voltage, and the electric parameter of measuring insulation system is diagnosed the ageing state of major insulation.Mainly comprise following several pilot project: mensuration and the measurement of partial discharge of the mensuration of insulation resistance and polarization index, dielectric loss angle tangent tg δ and increment Delta tg δ thereof.
Each pilot project in the electrical test method can only be examined or check a certain performance of major insulation, thereby often will could determine the ageing state that insulate through good several tests, and some testing equipment more complicated, heaviness, and site test is all very inconvenient.Because on-the-spot electromagnetic interference (EMI) is very big, electric experimental result is subjected to the influence of electromagnetic interference (EMI) easily.
Three, summary of the invention
Defective or deficiency at above-mentioned electrical test method exists an object of the present invention is, the aging diagnostic method of the electrical machine insulation based on wavelet transformation and the device thereof that provide a kind of applied acoustics technology that the major insulation ageing state of high-rating generator is detected.The intrinsic that diagnostic method of the present invention material and structure from the insulation ag(e)ing process are taken place changes this angle and detects, overcome this limitation of change that electric experiment can only characterize electric parameter in the insulation ag(e)ing process, and this method can be avoided the electromagnetic interference (EMI) in the on-the-spot test effectively.Another object of the present invention provides a kind of device of realizing said method, and this device is for portable, and operation interface is simple, and demonstration, storage, processing, analytic function are strong, can be conveniently used in on-the-spot the detection.
Because the stator bar insulation can be regarded acoustic resonance as, there are a plurality of modes of resonance, after high-rating generator major insulation is aging, the variation of insulation material and the inner defective that occurs can be to its each mode producing disturbances, acoustic features such as resonance frequency are changed, the acoustical signal that produces when therefore knocking insulation just can be reacted the variation that big generator stator winding insulation material and structure in ageing process take place effectively, thereby can reach the purpose of detection high-rating generator major insulation ageing state.
Based on above principle, technical scheme proposed by the invention is that a kind of aging diagnostic method of the electrical machine insulation based on wavelet transformation that detects high-rating generator major insulation ageing state comprises following each step:
1) produces the major insulation surface that impulsive force is knocked large generator stator bar by impulse source;
2) adopt sonic transducer to receive the sound wave of major insulation radiation under impact force action;
3) sound wave that produces is sampled; The signal that collects is kept, carry out processes and displays after the digitizing again;
4) utilize wavelet analysis technology that this acoustical signal is handled the acoustical signal that obtains, ask for wavelet transformation,, judge the ageing state of insulation with the threshold that configures at yardstick modulus maximum once.
Described wavelet transformation is to adopt discrete dyadic wavelet transform; It is defined as follows:
If function ψ ∈ L
2(IR) satisfy the admissibility condition
Claim that then ψ is a wavelet mother function.The admissibility condition is equivalent to again
The scale factor note is made a, then ψ
a(t)=(1/a) ψ (t/a) is called wavelet basis.Wavelet transformation is done convolution with signal f (x) with wavelet basis exactly,
W
ψF (a, t)=f* ψ
a(t) (3) are remembered and are made a=2 if scale factor is pressed Binary Cell point discretize
j, discrete dyadic wavelet transform is then arranged
According to formula (4), ask for scale factor j=0, the wavelet transformation of acoustical signal under the yardstick a=1 can be calculated the modulus maximum of wavelet transformation.
Realize the diagnostic device of above-mentioned electrical machine insulation aging method based on wavelet transformation, comprise an impulse source 1 and-sound detection instrument 2 constitutes, impulse source 1 is by dc coil 101, cavity 102 impacts bead 103 and sonic transducer 104 is formed;
Sound detection instrument 2 comprises the acoustical signal testing circuit, and the acoustical signal testing circuit is made of pulse amplifier, sampling pulse source, sampling hold circuit and wave filter; Data processing and display unit, data processing and display unit comprise microcomputer, keyboard, D/A, A/D interface board and display; And the numerical control plate that links to each other with each several part and control corresponding software are formed.
The ageing state that the present invention is applied to high-rating generator major insulation detects, can avoid the electromagnetic interference (EMI) in the on-the-spot test, this angle of the change of material and structure detects from the insulation ag(e)ing process, for the diagnosis of high-rating generator major insulation ageing state provides more rich data.Device of the present invention has been realized full-automation, easy and simple to handle, the software interface close friend not only can diagnose the ageing state of high-rating generator major insulation in the laboratory, also can in each power plant, use the ageing state of field diagnostic high-rating generator major insulation.
Four, description of drawings
Fig. 1 is the structural representation of high-rating generator major insulation ageing state sound detection device of the present invention;
Fig. 2 is an impulse source structural representation of the present invention;
Fig. 3 is a Control Software process flow diagram of the present invention.
Five, embodiment
Be described in further detail according to structure and the data processing of technical scheme of the present invention below in conjunction with accompanying drawing and inventor detection method of the present invention and device.
The sound detection method of detection high-rating generator major insulation ageing state of the present invention comprises following each step: produce the major insulation surface that impulsive force is knocked large generator stator bar by impulse source; Adopt sonic transducer to receive the sound wave of major insulation radiation under impact force action; The sound wave that produces is sampled; The signal that collects is kept, carry out processes and displays after the digitizing again; Because the more difficult identification of acoustical signal that obtains utilizes wavelet analysis technology that this acoustical signal is handled, and asks for wavelet transformation at yardstick modulus maximum once,, judge the ageing state of insulation with the threshold that configures.
Referring to Fig. 1,, form by impulse source harmony detector according to the electrical machine insulation degradation diagnostic device based on wavelet transformation of said method design.Impulse source is by dc coil, and cavity impacts bead harmony sensor and forms; The acoustical signal testing circuit, data processing and display unit and the numerical control plate that links to each other with each several part and control corresponding software are formed.The acoustical signal testing circuit is made of pulse amplifier, sampling pulse source, sampling hold circuit and wave filter; Data processing and display unit comprise microcomputer, keyboard, D/A, A/D interface board and display.
The electromagnetic force that impulse source produces when utilizing the dc coil energising is knocked high-rating generator major insulation surface.Sonic transducer receives the acoustical signal of major insulation radiation under impact force action in the mode of Air Coupling, and the impulse source structural representation as shown in Figure 2; Each several part in this structure is described as follows:
The 101st, dc coil can produce electromagnetic attraction after the energising, makes that impacting bead 103 knocks insulating surface.Because it is adjustable to flow through the electric current of dc coil, the electromagnetic attraction that is produced changes with the change of this electric current, thereby impacts the impulsive force that is produced when bead knocks insulating surface and also can regulate.
The 102nd, cavity is used to shield ambient noise.
The 103rd, impact bead, be used to knock insulating surface, the height of this bead before knocking be vertical adjusting up and down.
The 104th, sonic transducer is used to receive the sound wave of major insulation radiation, and the height of this sonic transducer is vertical adjusting up and down also.
The sound detection instrument has comprised signal deteching circuit, data processing and display unit and numerical control plate that links to each other with each several part and control corresponding software.This detector has been realized the control in impact source, the collection and the analog to digital conversion of acoustical signal, and the acoustical signal that collects is carried out data processing and analysis, and testing result directly is shown on the screen.
The flow process of this Control Software as shown in Figure 3.
Native system adopts wavelet analysis technology that the acoustical signal that receives is carried out data processing.Wavelet analysis method is a kind of new Time-Frequency Analysis Method, from frequency domain, makes wavelet transformation with different scale and just is equivalent to one group of bandpass filter signal be handled.This method utilizes the modulus maximum of wavelet transformation under yardstick 1 of acoustical signal as characterizing the aging characteristic parameter of high-rating generator major insulation, detects the ageing state of major insulation according to this value of consult volume.At different application demands, there is multiple wavelet transformation form.The present invention adopts discrete dyadic wavelet transform.The acoustical signal that receives is carried out wavelet transformation, ask for its modulus maximum under yardstick 1, determine the ageing state of high-rating generator major insulation by this modulus maximum.Mode of operation of the present invention is simple, and demonstration, storage, processing, analytic function are strong, can be conveniently used in on-the-spot the detection.
Claims (3)
1. the aging diagnostic method of the electrical machine insulation based on wavelet transformation that detects high-rating generator major insulation ageing state is characterized in that, comprises following each step:
1) produces the major insulation surface that impulsive force is knocked large generator stator bar by impulse source;
2) adopt sonic transducer to receive the sound wave of major insulation radiation under impact force action;
3) sound wave that produces is sampled; The signal that collects is kept, carry out processes and displays after the digitizing again;
4) utilize wavelet analysis technology that this acoustical signal is handled the acoustical signal that obtains, ask for wavelet transformation,, judge the ageing state of insulation with the threshold that configures at yardstick modulus maximum once.
2. the aging diagnostic method of the electrical machine insulation based on wavelet transformation as claimed in claim 1 is characterized in that described wavelet transformation is to adopt discrete dyadic wavelet transform; It is defined as follows:
If function ψ ∈ L
2(IR) satisfy the admissibility condition
Claim that then ψ is a wavelet mother function.The admissibility condition is equivalent to again
The scale factor note is made a, then ψ
a(t)=(1/a) ψ (t/a) is called wavelet basis.Wavelet transformation is done convolution with signal f (x) with wavelet basis exactly,
W
ψF (a, t)=f* ψ
a(t) (3) are remembered and are made a=2 if scale factor is pressed Binary Cell point discretize
j, discrete dyadic wavelet transform is then arranged
According to formula (4), ask for scale factor j=0, the wavelet transformation of acoustical signal under the yardstick a=1 can be calculated the modulus maximum of wavelet transformation.
3. realize the diagnostic device of the described electrical machine insulation aging method based on wavelet transformation of claim 1, it is characterized in that, this device comprise an impulse source [1] and-sound detection instrument [2] constitutes, impulse source [1] is by dc coil [101], cavity [102] impacts bead [103] and sonic transducer [104] and forms;
Sound detection instrument [2] comprises the acoustical signal testing circuit, and the acoustical signal testing circuit is made of pulse amplifier, sampling pulse source, sampling hold circuit and wave filter; Data processing and display unit, data processing and display unit comprise microcomputer, keyboard, D/A, A/D interface board and display; And the numerical control plate that links to each other with each several part and control corresponding software are formed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 02139425 CN1402015A (en) | 2002-09-13 | 2002-09-13 | Method and device for diagnosis of insulation ageing of electric machine based on small wave conversion |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 02139425 CN1402015A (en) | 2002-09-13 | 2002-09-13 | Method and device for diagnosis of insulation ageing of electric machine based on small wave conversion |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN1402015A true CN1402015A (en) | 2003-03-12 |
Family
ID=4750075
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 02139425 Pending CN1402015A (en) | 2002-09-13 | 2002-09-13 | Method and device for diagnosis of insulation ageing of electric machine based on small wave conversion |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN1402015A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101923027A (en) * | 2010-05-28 | 2010-12-22 | 清华大学 | System, equipment and method for detecting structural damages |
| CN101132140B (en) * | 2007-08-06 | 2011-01-12 | 上海发电设备成套设计研究院 | Appraising method for insulation service life of turbine generator stator winding |
| CN103733080A (en) * | 2011-08-01 | 2014-04-16 | 维也纳技术大学 | Method and device for detecting a deterioration in the state of an insulation in an operating electric machine |
| CN105203928A (en) * | 2015-08-07 | 2015-12-30 | 北重阿尔斯通（北京）电气装备有限公司 | Device and method for detecting insulation integrity of motor stator coil bar |
| CN106054074A (en) * | 2016-06-23 | 2016-10-26 | 安徽金帅洗衣机有限公司 | Washing machine motor safety check process |
| CN106680371A (en) * | 2016-12-30 | 2017-05-17 | 陕西科技大学 | Electric porcelain body online flaw detection device and electric porcelain body online flaw detection method |
| CN108228999A (en) * | 2017-12-29 | 2018-06-29 | 华北电力科学研究院有限责任公司 | A kind of organic external insulation Analysis of Surface Topography method and device |
| CN108535015A (en) * | 2018-02-26 | 2018-09-14 | 中国人民解放军海军工程大学 | The bearing fault characteristics extracting method decomposed based on zero phase convolution wavelets' transform |
| CN109799454A (en) * | 2018-12-29 | 2019-05-24 | 西安交通大学 | Generator stator insulation residual breakdown strength prediction technique based on particle group optimizing |
| CN114002532A (en) * | 2021-11-01 | 2022-02-01 | 南方电网调峰调频发电有限公司检修试验分公司 | Method for judging insulation thermomechanical degradation of VPI (vacuum vapor pressure insulated) bar of pumped storage generator motor |
-
2002
- 2002-09-13 CN CN 02139425 patent/CN1402015A/en active Pending
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101132140B (en) * | 2007-08-06 | 2011-01-12 | 上海发电设备成套设计研究院 | Appraising method for insulation service life of turbine generator stator winding |
| CN101923027B (en) * | 2010-05-28 | 2012-12-12 | 清华大学 | System, equipment and method for detecting structural damages |
| CN101923027A (en) * | 2010-05-28 | 2010-12-22 | 清华大学 | System, equipment and method for detecting structural damages |
| CN103733080A (en) * | 2011-08-01 | 2014-04-16 | 维也纳技术大学 | Method and device for detecting a deterioration in the state of an insulation in an operating electric machine |
| CN103733080B (en) * | 2011-08-01 | 2016-11-09 | 维也纳技术大学 | For detecting the method and apparatus of the state of insulation deterioration in the motor of operating |
| CN105203928A (en) * | 2015-08-07 | 2015-12-30 | 北重阿尔斯通（北京）电气装备有限公司 | Device and method for detecting insulation integrity of motor stator coil bar |
| CN106054074A (en) * | 2016-06-23 | 2016-10-26 | 安徽金帅洗衣机有限公司 | Washing machine motor safety check process |
| CN106680371B (en) * | 2016-12-30 | 2019-12-20 | 陕西科技大学 | Online flaw detection device and method for electroceramic body |
| CN106680371A (en) * | 2016-12-30 | 2017-05-17 | 陕西科技大学 | Electric porcelain body online flaw detection device and electric porcelain body online flaw detection method |
| CN108228999A (en) * | 2017-12-29 | 2018-06-29 | 华北电力科学研究院有限责任公司 | A kind of organic external insulation Analysis of Surface Topography method and device |
| CN108228999B (en) * | 2017-12-29 | 2021-06-04 | 华北电力科学研究院有限责任公司 | Wavelet transform-based organic external insulation surface morphology analysis method and device |
| CN108535015A (en) * | 2018-02-26 | 2018-09-14 | 中国人民解放军海军工程大学 | The bearing fault characteristics extracting method decomposed based on zero phase convolution wavelets' transform |
| CN109799454A (en) * | 2018-12-29 | 2019-05-24 | 西安交通大学 | Generator stator insulation residual breakdown strength prediction technique based on particle group optimizing |
| CN114002532A (en) * | 2021-11-01 | 2022-02-01 | 南方电网调峰调频发电有限公司检修试验分公司 | Method for judging insulation thermomechanical degradation of VPI (vacuum vapor pressure insulated) bar of pumped storage generator motor |
| CN114002532B (en) * | 2021-11-01 | 2022-11-29 | 南方电网调峰调频发电有限公司检修试验分公司 | Method for judging insulation thermomechanical degradation of VPI (vacuum vapor pressure insulated) bar of pumped storage generator motor |
| WO2023072174A1 (en) * | 2021-11-01 | 2023-05-04 | 南方电网调峰调频发电有限公司检修试验分公司 | Method for determining insulation thermomechanical deterioration of vpi wire rod of pumped storage power generation motor |
| US11892496B1 (en) | 2021-11-01 | 2024-02-06 | Csg Power Generation Co., Ltd. Maintenance And Test Company | Method for determining insulation thermomechanical deterioration of VPI wire rod of pumped storage power generation motor |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100523765C (en) | Vibrating detection method for detecting looseness of large-scale generator rotor slot wedge and apparatus therefor | |
| CN102135593B (en) | Insulation of large electrical machines state inline diagnosis appraisal procedure | |
| Chaudhry et al. | Monitoring the integrity of composite patch structural repair via piezoelectric actuators/sensors | |
| CN1402015A (en) | Method and device for diagnosis of insulation ageing of electric machine based on small wave conversion | |
| WO2010071607A1 (en) | Method and system for monitoring fastener loads | |
| CN2890940Y (en) | d31 measuring system employing quasi-static state method | |
| CN112557776A (en) | System and method for testing dynamic piezoelectric performance of piezoelectric material | |
| CN105588636B (en) | Fan abnormal sound detection system | |
| CN1166934C (en) | Detection method of loosening slot wedge of rotating motor | |
| CN213121724U (en) | Porcelain post insulator vibration acoustics on-line monitoring system based on thing networking | |
| CN1204410C (en) | Ultrasonic reflection detecting device and mehtod for diagnosis of insulation state of stator for large electric generator | |
| Li et al. | Study on mechanical vibration characteristics of GIS equipment under variable frequency currents | |
| CN117031339A (en) | Multi-channel battery health monitoring system and method | |
| CN113484374A (en) | Voltage stability testing system for high-low voltage electric porcelain appliance | |
| CN112881839B (en) | Transformer diagnosis method based on mutual information of frequency concentration and vibration stability | |
| CN111141830B (en) | Micro-nano coupling optical fiber sensor-based linear positioning system and method | |
| CN203275532U (en) | Piezoelectric property detection device for combination of ultrasonic motor stator and piezoelectric ceramic | |
| CN206489227U (en) | High-voltage capacitor fault test system | |
| Yu et al. | Research and application of intelligent diagnosis method of mechanical fault based on transformer vibration and noise and BP neural network | |
| Wang et al. | A Portable Industrial Acoustic Detection System With Multiband Resonant Amplification | |
| CN1854705A (en) | Method and device for inspecting refrigeration system fault of air conditioner by ripple conversion | |
| CN103245843A (en) | Device and method for detecting piezoelectric property of ultrasonic motor stator and piezoelectric ceramic compound | |
| Zhao et al. | Equivalent Circuit Analysis of CMUTs-based Device for Measurement in Liquid Samples | |
| CN216117357U (en) | Silicon rubber insulator aging degree calibration system | |
| CN212514858U (en) | GIS partial discharge detection device based on digital oscilloscope |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |