CN107679445A - A kind of arrester ageing failure diagnosis method based on wavelet-packet energy entropy - Google Patents
A kind of arrester ageing failure diagnosis method based on wavelet-packet energy entropy Download PDFInfo
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- CN107679445A CN107679445A CN201710691099.8A CN201710691099A CN107679445A CN 107679445 A CN107679445 A CN 107679445A CN 201710691099 A CN201710691099 A CN 201710691099A CN 107679445 A CN107679445 A CN 107679445A
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- arrester
- entropy
- energy
- wavelet
- leakage current
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
- G06F2218/04—Denoising
- G06F2218/06—Denoising by applying a scale-space analysis, e.g. using wavelet analysis
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/08—Feature extraction
- G06F2218/10—Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
Abstract
The invention discloses a kind of arrester ageing failure diagnosis method based on wavelet-packet energy entropy.This method comprises the following steps：The arrester Leakage Current waveform of actual samples is made an uproar by wavelet packet filter；Waveform after being made an uproar to filter carries out WAVELET PACKET DECOMPOSITION, obtains the Decomposition Sequence of each node in wavelet packet tree；Energy-Entropy is asked for the Decomposition Sequence of each node in wavelet packet tree；By the Energy-Entropy of the actual arrester Leakage Current of gained, contrasted with the Energy-Entropy of normal arrester Leakage Current, so that it is determined that actual arrester whether there is degradation failure.The present invention can effectively filter out the high-frequency noise in the arrester Leakage Current of actual samples, identify unusual raised points present in arrester Leakage Current waveform, whether there is degradation failure situation so as to which Accurate Diagnosis goes out arrester.
Description
Technical field
It is particularly a kind of lightning-arrest based on wavelet-packet energy entropy the present invention relates to the technical field of Fault Diagnosis for Electrical Equipment
Device ageing failure diagnosis method.
Background technology
Arrester is the important protection equipment of power system, and the present widely used metal zinc oxide of arrester is taken shelter from the thunder
Device, nonlinear resistance are one of its important components, and when arrester both ends apply low-voltage, the resistance of presentation is big, as pressure limiting member
Part, the energy of surge voltage or pulse voltage is absorbed, when applying high voltage, the resistance of presentation is small, by high-voltage impact electric current
The earth is oriented to, so as to limit voltage magnitude, protects insulation of electrical installation.
Current power system is carrying out the repair based on condition of component of equipment extensively, and rational maintenance is formulated according to equipment running status
Plan, the on-line monitoring of power equipment provides guarantee for repair based on condition of component, can monitoring, diagnosing power equipment in real time it is potential former
Barrier.Arrester both ends apply line voltage, after the overvoltage action of longtime running or the certain number of experience, its nonlinear resistance
Characteristic is deteriorated, that is, degradation failure occurs, and degradation failure is irreversible, once occur, it is necessary to timely reparing, in order to avoid because lightning-arrest
Device aging itself and cause unnecessary accident.Degradation failure is shown as under normal Operating Voltage, its Leakage Current
3 times of middle current in resistance property and the increase of 5 subharmonic compositions, occur periodically unusual point boss, and aging on Leakage Current waveform
Failure situation is more severe, and unusual point boss is more obvious, therefore it is diagnosis arrester degradation failure to accurately identify the unusual point boss
Effective way.
The method of Current Diagnostic arrester degradation failure mainly utilizes discrete fourier algorithm, and basic ideas are that extraction is let out
Reveal electric current and line voltage in 3 times and the component of 5 sub-bands, in each frequency range by Leakage Current to line voltage direction projection,
Obtain 3 times and 5 subharmonic compositions of current in resistance property.This method is feasible in principle, but exist in actual implementation process voltage with
The synchronized sampling of electric current is difficult, mains frequency fluctuation causes fence effect, problems are influenceed etc. by arrester interphase interference, real
Border application effect is unsatisfactory.
The content of the invention
It is an object of the invention to provide a kind of arrester based on wavelet-packet energy entropy accurately and reliably, rapidly and efficiently is old
Change method for diagnosing faults.
The technical solution for realizing the object of the invention is：A kind of arrester degradation failure based on wavelet-packet energy entropy is examined
Disconnected method, comprises the following steps：
Step 1, the arrester Leakage Current waveform of actual samples is made an uproar by wavelet packet filter；
Step 2, the waveform after being made an uproar to step 1 filter carries out WAVELET PACKET DECOMPOSITION, obtains the decomposition of each node in wavelet packet tree
Sequence；
Step 3, Energy-Entropy is asked for the Decomposition Sequence of each node in step 2 wavelet packet tree；
Step 4, by the Energy-Entropy of actual arrester Leakage Current obtained by step 3, the energy with normal arrester Leakage Current
Amount entropy is contrasted, so that it is determined that actual arrester whether there is degradation failure.
Further, wavelet packet filter described in step 1 is made an uproar including carrying out WAVELET PACKET DECOMPOSITION to signal, carrying out threshold to high frequency coefficient
It is worth quantification treatment, three parts of wavelet reconstruction is carried out to the coefficient after quantization.
Further, WAVELET PACKET DECOMPOSITION described in step 2, it is specially：Waveform after being made an uproar from db4 small echos to filter carries out 2 layers
WAVELET PACKET DECOMPOSITION, Energy-Entropy is asked for the Decomposition Sequence of each node, chooses the energy of 1,2, No. 3 Node Decomposition sequence of the 2nd floor
The characteristic value that entropy diagnoses as degradation failure.
Further, determine that actual arrester whether there is degradation failure described in step 4, criterion is：
By the Energy-Entropy of actual arrester Leakage Current obtained by step 3, enter with the Energy-Entropy of normal arrester Leakage Current
Row repeatedly contrast, if the energy of the 2nd 1,2, No. 3 node of floor selected in the wavelet packet tree of actual arrester Leakage Current
Entropy, the Energy-Entropy of corresponding node in the wavelet packet tree of normal arrester Leakage Current is all higher than, then assert that arrester has aging
Failure.
Compared with prior art, its remarkable advantage is the present invention：(1) actual acquisition arrester leakage electricity can be effectively filtered out
The high-frequency noise interference in waveform is flowed, retains valuable signal, arrester leakage electricity is accurately identified by wavelet-packet energy entropy
The unusual point boss occurred in stream waveform by degradation failure, fault diagnosis positive effect；(2) can among practical engineering application
To greatly improve the degree of accuracy of surge arrester failure diagnosis, the safe and stable operation of arrester is ensured, it is online to improve power system
Monitoring and repair based on condition of component mechanism provide guarantee.
Brief description of the drawings
Fig. 1 is the flow chart of the arrester ageing failure diagnosis method of the invention based on wavelet-packet energy entropy.
Fig. 2 is the effect contrast figure that wavelet packet filter of the present invention is made an uproar, wherein (a) is to add white Gaussian for simulating actual samples
The Leakage Current oscillogram of noise, (b) are that the result figure after wavelet packet filter is made an uproar is carried out to electric current in (a).
Fig. 3 is wavelet packet tree schematic diagram of the present invention.
Fig. 4 is to multiple degradation failure arrester Leakage Current wavelet-packet energy entropy diagnostic result figures.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
With reference to Fig. 1, the arrester ageing failure diagnosis method of the invention based on wavelet-packet energy entropy, made an uproar by wavelet packet filter
High-frequency noise in the Leakage Current of actual samples is filtered out, avoids noise from interfering fault diagnosis, the ripple after being made an uproar to filter
Shape carries out WAVELET PACKET DECOMPOSITION, obtains the Decomposition Sequence of each node in wavelet packet tree, energy is asked for the Decomposition Sequence of each node
Entropy is measured, the characteristic value using Energy-Entropy as diagnosis arrester degradation failure, and arrester degradation failure situation is more severe, leakage electricity
The unusual raised points flowed on waveform are more notable, therefore can be by the arrester Leakage Current characteristic value of actual samples with normally keeping away
Thunder device Leakage Current characteristic value compares, and whether Accurate Diagnosis arrester degradation failure occurs.Specifically include following steps：
Step 1, the arrester Leakage Current waveform of actual samples is made an uproar by wavelet packet filter；
The wavelet packet filter is made an uproar including carrying out WAVELET PACKET DECOMPOSITION to signal, threshold value quantizing processing being carried out to high frequency coefficient, right
Coefficient after quantization carries out three parts of wavelet reconstruction, and the high frequency being mingled with the arrester Leakage Current of actual acquisition can be made an uproar
Acoustical signal effectively filters out, and retains to the valuable signal of fault diagnosis.
Step 2, the waveform after being made an uproar to step 1 filter carries out WAVELET PACKET DECOMPOSITION, obtains the decomposition of each node in wavelet packet tree
Sequence；
The WAVELET PACKET DECOMPOSITION, it is specially：Waveform after being made an uproar from db4 small echos to filter carries out 2 layers of WAVELET PACKET DECOMPOSITION, to each
The Decomposition Sequence of node asks for Energy-Entropy, and the Energy-Entropy for choosing 1,2, No. 3 Node Decomposition sequence of the 2nd floor is examined as degradation failure
Disconnected characteristic value.
Described WAVELET PACKET DECOMPOSITION, more further point is all taken to the high and low frequency part in arrester Leakage Current
Solution, the Decomposition Sequence of each node of wavelet packet tree obtained after decomposition not only contain different characteristic time scale information, also contained
There are the local characteristicses of primary signal, the energy of signal extraordinary can be reflected in the joint of time dimension and frequency dimension point
Cloth situation.
Step 3, Energy-Entropy is asked for the Decomposition Sequence of each node in step 2 wavelet packet tree；
Energy-Entropy is asked for the Decomposition Sequence of each node of wavelet packet tree, if unusual point boss be present in Leakage Current waveform,
Then the Decomposition Sequence complexity of part of nodes becomes big, and the Energy-Entropy for the more normal arrester Leakage Current of Energy-Entropy asked for is obvious
Increase.Divided by the energy for the Decomposition Sequence for analyzing the described each node of wavelet packet tree in time dimension and frequency dimension joint
Cloth, the complexity of the Decomposition Sequence of each node of wavelet packet tree is quantified.
Step 4, by the Energy-Entropy of actual arrester Leakage Current obtained by step 3, the energy with normal arrester Leakage Current
Amount entropy is contrasted, so that it is determined that actual arrester whether there is degradation failure, criterion is：
By the Energy-Entropy of actual arrester Leakage Current obtained by step 3, enter with the Energy-Entropy of normal arrester Leakage Current
Row repeatedly contrast, if in the wavelet packet tree of actual arrester Leakage Current each node Energy-Entropy, be all higher than normally take shelter from the thunder
The Energy-Entropy of corresponding node in the wavelet packet tree of device Leakage Current, then assert that arrester has degradation failure.
Energy-Entropy is asked for the Leakage Current of normal arrester and degradation failure arrester respectively, it is actual that arrester is carried out
Multiple repairing weld repeatedly calculates Energy-Entropy, multiple contrast verification, draws final degradation failure diagnostic result, ensures the accurate of result
Reliably.
The present invention can effectively filter out the high-frequency noise in the arrester Leakage Current of actual samples, identify that arrester is let out
Reveal unusual raised points present in current waveform, whether there is degradation failure situation so as to be diagnosed to be arrester.
The present invention is described in further details with specific embodiment below in conjunction with the accompanying drawings.
Embodiment 1
Fig. 1 is a kind of structure chart of the arrester ageing failure diagnosis method based on wavelet-packet energy entropy of the present invention,
Step 1 is to carry out wavelet packet filter to the arrester Leakage Currents of actual samples to make an uproar, and avoids high-frequency noise to afterwards
Fault diagnosis impacts, and step 2 is to filter the arrester Leakage Current waveform after making an uproar to step 1 respectively and take shelter from the thunder under normal circumstances
Device Leakage Current waveform carries out WAVELET PACKET DECOMPOSITION respectively, and step 3 seeks energy to choose the Decomposition Sequence of each node of wavelet packet tree
Entropy, step 4 are the Energy-Entropy of the repeatedly arrester and normal arrester of contrast actual samples, show that arrester degradation failure diagnoses
Result.
Fig. 2 is the effect contrast figure that wavelet packet filter of the present invention is made an uproar, and Fig. 2 (a) is to add white Gaussian for simulating actual samples
The Leakage Current waveform of noise, it is evident that the unusual raised points in waveform have been submerged in high-frequency noise, present invention choosing
Take sym6 small echos to carry out 5 layers of WAVELET PACKET DECOMPOSITION to noisy acoustic wave form, obtain what filter was made an uproar with Birge-Massart penalty functional methods
Global threshold, threshold process is carried out to noisy acoustic wave form and is reconstructed, Fig. 2 (b) is the waveform after filter is made an uproar, and noise signal is almost complete
It is filtered out, and the unusual point boss of the periodicity in waveform is completely retained.The wavelet packet of the inventive method first step filters effect of making an uproar
Fruit is obvious, and this carries out the antecedent basis of wavelet-packet energy entropy tracing trouble after being also.
Fig. 3 is wavelet packet tree schematic diagram of the present invention, and the present invention is from db4 small echos to Leakage Current using 2 layers of wavelet packet point
Solution, asks for Energy-Entropy, wherein the Energy-Entropy of the 1 of the 2nd floor, 2, No. 3 Node Decomposition sequence to the Decomposition Sequence of each node
Using the characteristic value diagnosed as degradation failure.
Fig. 4 is of the invention to multiple degradation failure arrester Leakage Current wavelet-packet energy entropy diagnostic result figures, that is, is selected
Db4 small echos use 2 layers of WAVELET PACKET DECOMPOSITION to Leakage Current, and the Energy-Entropy of 1,2, No. 3 Node Decomposition sequence is examined as degradation failure
Disconnected characteristic value.Dotted line is the wavelet-packet energy entropy result of normal arrester Leakage Current in figure, and 6 solid lines are 6 and simulated not
With ageing failure arrester Leakage Current waveform wavelet-packet energy entropy result, hence it is evident that it is visible, there is the arrester of degradation failure
There is significant difference on the Energy-Entropy of 1,2, No. 3 Node Decomposition sequence of the 2nd floor with normal arrester, show provided by the invention
Wavelet-packet energy entropy has significant diagnosis arrester degradation failure effect.
Although preferred embodiments of the present invention have been described, but those skilled in the art once know basic creation
Property concept, then can make other change and modification to these embodiments.So appended claims be intended to be construed to include it is excellent
Select embodiment and fall into having altered and changing for the application scope.Obviously, those skilled in the art can be to the present invention
Carry out various changes and modification without departing from the spirit and scope of the present invention.So, if these modifications and variations of the present invention
Belong within the scope of the claims in the present invention and its equivalent technologies, then the present invention is also intended to exist comprising these changes and modification
It is interior.
Claims (4)
1. a kind of arrester ageing failure diagnosis method based on wavelet-packet energy entropy, it is characterised in that comprise the following steps：
Step 1, the arrester Leakage Current waveform of actual samples is made an uproar by wavelet packet filter；
Step 2, the waveform after being made an uproar to step 1 filter carries out WAVELET PACKET DECOMPOSITION, obtains the Decomposition Sequence of each node in wavelet packet tree；
Step 3, Energy-Entropy is asked for the Decomposition Sequence of each node in step 2 wavelet packet tree；
Step 4, by the Energy-Entropy of actual arrester Leakage Current obtained by step 3, the Energy-Entropy with normal arrester Leakage Current
Contrasted, so that it is determined that actual arrester whether there is degradation failure.
2. the arrester ageing failure diagnosis method according to claim 1 based on wavelet-packet energy entropy, it is characterised in that
Wavelet packet filter described in step 1 is made an uproar including carrying out WAVELET PACKET DECOMPOSITION to signal, threshold value quantizing processing being carried out to high frequency coefficient, to quantifying
Coefficient afterwards carries out three parts of wavelet reconstruction.
3. the arrester ageing failure diagnosis method according to claim 1 based on wavelet-packet energy entropy, it is characterised in that
WAVELET PACKET DECOMPOSITION described in step 2, it is specially：Waveform after being made an uproar from db4 small echos to filter carries out 2 layers of WAVELET PACKET DECOMPOSITION, to each section
The Decomposition Sequence of point asks for Energy-Entropy, and the Energy-Entropy for choosing 1,2, No. 3 Node Decomposition sequence of the 2nd floor diagnoses as degradation failure
Characteristic value.
4. the arrester ageing failure diagnosis method according to claim 1 based on wavelet-packet energy entropy, it is characterised in that
Determine that actual arrester whether there is degradation failure described in step 4, criterion is：
By the Energy-Entropy of actual arrester Leakage Current obtained by step 3, carried out with the Energy-Entropy of normal arrester Leakage Current more
Secondary contrast, if the Energy-Entropy of the 2nd 1,2, No. 3 node of floor selected in the wavelet packet tree of actual arrester Leakage Current,
More than the Energy-Entropy of corresponding node in the wavelet packet tree of normal arrester Leakage Current, then assert that arrester has degradation failure.
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Cited By (4)
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| CN108872732A (en) * | 2018-04-16 | 2018-11-23 | 南京理工大学 | A kind of arrester degree of aging diagnostic method based on wavelet modulus maxima method |
| CN112034253A (en) * | 2020-09-21 | 2020-12-04 | 国网福建省电力有限公司 | MOA online monitoring method |
| CN112505449A (en) * | 2020-11-20 | 2021-03-16 | 云南电网有限责任公司临沧供电局 | Lightning arrester state diagnosis system and method based on transient residual voltage fingerprint characteristics |
| WO2023214335A1 (en) * | 2022-05-03 | 2023-11-09 | Universidad Nacional de Colombia sede Manizales | System, method and device for monitoring leakage current from lightning arresters |
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| WO2023214335A1 (en) * | 2022-05-03 | 2023-11-09 | Universidad Nacional de Colombia sede Manizales | System, method and device for monitoring leakage current from lightning arresters |
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