CN109991520A - A kind of cable oscillation wave partial discharge detecting system velocity of wave New calculating method - Google Patents
A kind of cable oscillation wave partial discharge detecting system velocity of wave New calculating method Download PDFInfo
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- CN109991520A CN109991520A CN201910208643.8A CN201910208643A CN109991520A CN 109991520 A CN109991520 A CN 109991520A CN 201910208643 A CN201910208643 A CN 201910208643A CN 109991520 A CN109991520 A CN 109991520A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1209—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using acoustic measurements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1272—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
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- General Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Testing Relating To Insulation (AREA)
- Locating Faults (AREA)
Abstract
The invention discloses a kind of cable oscillation wave partial discharge detecting system velocity of wave New calculating method, noise reduction process is carried out to band discharge signal of making an uproar first with spectrum-subtraction, improves the signal-to-noise ratio of signal；Then " music noise " for filtering out spectrum-subtraction introducing using the method for wavelet transformation on this basis, further increases noise reduction effect, lays the foundation for the extraction and accurate positionin of shelf depreciation incidence wave and reflected wave pulses；The initial position that incidence wave and back wave are determined finally by threshold method determines incidence wave and back wave time difference, and then determines velocity of wave.The present invention can effective filter out noise, and the signal and original signal after denoising are closer, even if the velocity of wave calculated result obtained after being denoised by this method in low signal-to-noise ratio is still very accurate.
Description
Technical field
The invention belongs to the technical field of Electric Power Equipment Insulation state-detection, in particular to a kind of cable oscillation wave partial discharge inspection
Examining system velocity of wave New calculating method.
Background technique
Partial Discharge Detection has been widely used in assessing middle-high voltage power cable as a kind of nondestructive technology
State of insulation.Cable fault positioning mostly uses oscillation wave technology, oscillation wave technology and the time domain reflectometry being widely used in recent years
It combines, forms the oscillation wave test macro for electric cable stoppage positioning, which is in twisted polyethylene cable field test
In be gradually recognized.Time domain reflectometry need when cable fault positioning calculating the propagation of oscillation wave in the cable first
Speed, the difficult point that velocity of wave calculates are to determine the time difference of incidence wave and back wave.But it can not when carrying out live wave speed measurement
Avoid there are interference signal, when serious interference, can flood the pulse starting point of incidence wave and back wave, therefore by incidence wave, anti-
It is the key that improve velocity of wave computational accuracy that ejected wave signal and noise signal, which efficiently separate,.
Incidence wave, reflection wave signal and noise signal are being efficiently separated into aspect, mainly using wavelet transformation and threshold at present
Value method.Threshold method distinguishes pulse and noise signal by one threshold value of setting, while judging the starting of incidence wave and back wave
Endpoint and end caps, this method effect when noise is relatively high is fine, but when noise is relatively low, threshold value is excessively high easily by back wave
As noise, Noise Identification is easily back wave by too low threshold value.Wavelet transformation can effectively filter out noise when signal-to-noise ratio is high, but
When the instantaneous amplitude of interference signal and frequency suitable with pulse signal, while filtering out noise also can by noise pulse amplitude,
Waveform shape distortion.
Summary of the invention
It is an object of the invention in view of the deficienciess of the prior art, providing a kind of cable oscillation wave partial discharge detection system
System velocity of wave New calculating method.
To achieve the goals above, the invention adopts the following technical scheme:
A kind of cable oscillation wave partial discharge detecting system velocity of wave New calculating method, first with spectrum-subtraction to band make an uproar discharge signal into
Row noise reduction process improves the signal-to-noise ratio of signal；Then spectrum-subtraction introducing is filtered out using the method for wavelet transformation on this basis
" music noise ", further increases noise reduction effect, establishes for the extraction and accurate positionin of shelf depreciation incidence wave and reflected wave pulses
Fixed basis；The initial position that incidence wave and back wave are determined finally by threshold method determines incidence wave and back wave time difference, into
And determine velocity of wave.
Specifically includes the following steps:
(1) noise is estimated；
Noise power spectrum is estimated using least commitment recursive average method (MCRA)；Specifically: MCRA is first according to band
Ratio between discharge signal smooth power spectrum and its local minimum value of making an uproar (i.e. band make an uproar the minimum value of discharge signal smooth power spectrum)
Value judges then band each frequency band in discharge signal power spectrum of making an uproar utilizes the electric discharge arteries and veins between consecutive frame with the presence or absence of discharge pulse
There are the probability that correlation calculations discharge pulse occurs for punching, finally adjust noise spectrum according to the probability that discharge pulse occurs and update system
Number, and weight the noise spectrum that noisy speech power spectrum is estimated；
(2) spectrum-subtraction noise reduction；
It makes an uproar to band and does Fourier transform after discharge signal framing, find out band and make an uproar the power spectrum of discharge signal；It is pure to put
The noise power spectrum of electric signal；Ignore noise phaseIt makes an uproar electric discharge with band
Signal phaseDifference, the estimated value of pure discharge signal can by pairInverse Fourier transform obtains；
(3) Wavelet Denoising Method；
The possible music noise of spectrum-subtraction is filtered out using basic function db6 small echo and soft-threshold；
(4) threshold value searches incidence wave, back wave initial position；
If threshold value thr is 2 times of noise estimation value, from the discharge signal data after denoising (i.e. by front (1), (2), (3) step
Rapid treated discharge signal data) first window start to move backward, flag bit flag=0 is set；If in the window
In have point greater than thr, then the starting point of the window is recorded, as the starting point of the pulse；And by flag bit flag
It is revised as 1；Then window is moved backward, when being moved to value all in some window and being respectively less than thr, is jumped out this and is followed
The end point as the pulse is recorded in initial position at the window by ring, and juxtaposition flag is 0；To carry out next time
Circulation finds the starting and end point of next pulse；
(5) velocity of wave calculates；
It can be obtained according to time domain reflectometry, velocity of wave, wherein L is cable length,For the time of back wave initial position
With the difference of the time of incidence wave initial position.
Advantages of the present invention:
The present invention by spectrum subtract-Wavelet noise-eliminating method come the noise for including when cable oscillatory wave partial discharge being inhibited to detect, can
Noise is effective filtered out, the signal and original signal after denoising are closer, and this noise reduction capability is unrelated with noise level, low
High computational accuracy is kept when signal-to-noise ratio, and wave distortion is small.
Detailed description of the invention
Fig. 1 is the cable velocity of wave calculation method flow chart of the embodiment of the present invention；
Fig. 2 is that the spectrum that the embodiment of the present invention refers to subtracts-wavelet method impulse waveform the processing result high to signal-to-noise ratio, and and small echo
The comparison of denoising result；
Fig. 3 is that the spectrum that the embodiment of the present invention refers to subtracts-wavelet method impulse waveform the processing result low to signal-to-noise ratio, and and small echo
The comparison of denoising result.
Specific embodiment
The following further describes the present invention with reference to the drawings.
Embodiment:
As shown in Figure 1, a kind of cable oscillation wave partial discharge detecting system velocity of wave New calculating method, specifically includes the following steps:
(1) noise is estimated；
Noise power spectrum is estimated using least commitment recursive average method (MCRA)；Specifically: MCRA is first according to band
The ratio made an uproar between discharge signal smooth power spectrum and its local minimum value is made an uproar each frequency band in discharge signal power spectrum to judge band
With the presence or absence of discharge pulse, then using the discharge pulse between consecutive frame there are correlation calculations discharge pulse occur it is general
Rate finally adjusts noise spectrum according to the probability that discharge pulse occurs and updates coefficient, and weights noisy speech power spectrum and estimated
Noise spectrum；
(2) spectrum-subtraction noise reduction；
It makes an uproar to band and does Fourier transform after discharge signal framing, find out band and make an uproar the power spectrum of discharge signal；It is pure to put
The noise power spectrum of electric signal；Ignore noise phaseIt makes an uproar electric discharge with band
Signal phaseDifference, the estimated value of pure discharge signal can by pairInverse Fourier transform obtains；
(3) Wavelet Denoising Method；
The possible music noise of spectrum-subtraction is filtered out using basic function db6 small echo and soft-threshold；
(4) threshold value searches incidence wave, back wave initial position；
If threshold value thr is 2 times of noise estimation value, moved backward since first window of data, setting flag bit flag=
0；If there is the point greater than thr in the window, the starting point of the window is recorded, as the starting point of the pulse；
And flag bit flag is revised as 1；Then window is moved backward, when the value for being moved to all in some window is respectively less than
When thr, this circulation is jumped out, the end point as the pulse, juxtaposition flag are recorded into initial position at the window
It is 0；The starting and end point of next pulse are found to carry out circulation next time；
(5) velocity of wave calculates；
It can be obtained according to time domain reflectometry, velocity of wave, wherein L is cable length,For the time of back wave initial position
With the difference of the time of incidence wave initial position.
As shown in Figure 2,3, the present embodiment using method of the invention to the impulse waveform of Fig. 2 (a) He Fig. 3 (a) respectively into
Row processing, as can be seen from the figure no matter noise compares so as to see who is superior, spectrum subtracts-Wavelet-denoising Method removal noise jamming ability it is strong and caused by
Wave distortion is smaller；Wavelet Denoising Method all eliminates all noise jammings, but when signal-to-noise ratio is very low, the office from the upper right corner 3(b)
Portion's enlarged drawing can be seen that incident pulse distortion seriously, and the lesser reflected impulse of amplitude can be also filtered out, and be unable to get accurately
Velocity of wave calculated result.
The present embodiment subtracted by spectrum-and Wavelet noise-eliminating method makes an uproar include when cable oscillatory wave partial discharge being inhibited to detect
Sound, this method can effective filter out noise, and the signal and original signal after denoising are closer.Even if after being denoised by this method
The velocity of wave calculated result obtained in low signal-to-noise ratio is still very accurate.
The above is only the preferable case study on implementation of invention, is not intended to limit the invention, all spirit in invention
With any modifications, equivalent replacements, and improvements made within principle etc., should all be included in the protection scope of the present invention.
Claims (2)
1. a kind of cable oscillation wave partial discharge detecting system velocity of wave New calculating method, it is characterised in that: first with spectrum-subtraction pair
Band make an uproar discharge signal carry out noise reduction process, improve the signal-to-noise ratio of signal；Then it is filtered on this basis using the method for wavelet transformation
Except " music noise " that spectrum-subtraction introduces, noise reduction effect is further increased, for mentioning for shelf depreciation incidence wave and reflected wave pulses
It takes and accurate positionin lays the foundation；The initial position that incidence wave and back wave are determined finally by threshold method, determine incidence wave and
The back wave time difference, and then determine velocity of wave.
2. cable oscillation wave partial discharge detecting system velocity of wave New calculating method according to claim 1, which is characterized in that tool
Body the following steps are included:
(1) noise is estimated；
Noise power spectrum is estimated using least commitment recursive average method；Specifically: it is made an uproar discharge signal according to band first
Ratio between smooth power spectrum and its local minimum value judges that band makes an uproar in discharge signal power spectrum each frequency band with the presence or absence of putting
Electric pulse, then using the discharge pulse between consecutive frame, there are the probability that correlation calculations discharge pulse occurs, last bases
The probability that discharge pulse occurs adjusts noise spectrum and updates coefficient, and weights the noise spectrum that noisy speech power spectrum is estimated；
(2) spectrum-subtraction noise reduction；
It makes an uproar to band and does Fourier transform after discharge signal framing, find out band and make an uproar the power spectrum of discharge signal；Pure electric discharge
The noise power spectrum of signal；Ignore noise phaseIt makes an uproar to discharge with band and believe
Number phaseDifference, the estimated value of pure discharge signal can by pairInverse Fourier transform obtains；
(3) Wavelet Denoising Method；
The possible music noise of spectrum-subtraction is filtered out using basic function db6 small echo and soft-threshold；
(4) threshold value searches incidence wave, back wave initial position；
If threshold value thr is 2 times of noise estimation value, moved back first window of the discharge signal data after denoising
It is dynamic, flag bit flag=0 is set；If there is the point greater than thr in the window, the starting point of the window is recorded, is done
For the starting point of the pulse；And flag bit flag is revised as 1；Then window is moved backward, when being moved to some window
In all value when being respectively less than thr, jump out this circulation, initial position at the window recorded as the pulse
End point, juxtaposition flag are 0, find the starting and end point of next pulse to carry out circulation next time；
(5) velocity of wave calculates；
It can be obtained according to time domain reflectometry, velocity of wave, wherein L is cable length,For back wave initial position time and
The difference of the time of incidence wave initial position.
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Cited By (5)
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| CN111880061A (en) * | 2020-08-03 | 2020-11-03 | 国网重庆市电力公司电力科学研究院 | Pulse wave velocity correction method for monitoring partial discharge of high-voltage cable |
| CN113295978A (en) * | 2021-06-09 | 2021-08-24 | 广东电网有限责任公司 | Cable detection device, method, terminal device and computer readable storage medium |
| CN114996633A (en) * | 2022-06-24 | 2022-09-02 | 中用科技有限公司 | AI intelligent partial discharge detection method |
| CN115980528A (en) * | 2023-02-14 | 2023-04-18 | 湖南湘能智能配电设备有限公司 | Ring main unit noise signal rapid diagnosis and elimination method and device |
| CN116203131A (en) * | 2023-04-28 | 2023-06-02 | 中国铁建高新装备股份有限公司 | Method and device for detecting tunnel void, electronic equipment and storage medium |
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| CN114996633A (en) * | 2022-06-24 | 2022-09-02 | 中用科技有限公司 | AI intelligent partial discharge detection method |
| CN114996633B (en) * | 2022-06-24 | 2024-05-14 | 中用科技有限公司 | AI intelligent partial discharge detection method |
| CN115980528A (en) * | 2023-02-14 | 2023-04-18 | 湖南湘能智能配电设备有限公司 | Ring main unit noise signal rapid diagnosis and elimination method and device |
| CN115980528B (en) * | 2023-02-14 | 2024-03-26 | 湖南湘能智能配电设备有限公司 | Ring main unit noise signal rapid diagnosis and elimination method and device |
| CN116203131A (en) * | 2023-04-28 | 2023-06-02 | 中国铁建高新装备股份有限公司 | Method and device for detecting tunnel void, electronic equipment and storage medium |
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