CN110221155A - A kind of detection method and device of the transformer exception state based on vibration sound - Google Patents
A kind of detection method and device of the transformer exception state based on vibration sound Download PDFInfo
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- CN110221155A CN110221155A CN201910547401.1A CN201910547401A CN110221155A CN 110221155 A CN110221155 A CN 110221155A CN 201910547401 A CN201910547401 A CN 201910547401A CN 110221155 A CN110221155 A CN 110221155A
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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
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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
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/62—Testing of transformers
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The embodiment of the present invention discloses the detection method and device of a kind of transformer exception state based on vibration sound, which comprises step 1, inputs the vibration signal sequence of the transformer of actual measurement, step 2, tectonic scale function；Step 3, wavelet structure function；Step 4, according to the vibration signal sequence, the scaling function and the wavelet function, filter factor is constructed；Step 5, according to the scaling function and the wavelet function and filter factor, the mode of vibration signal is sought；Step 6, according to the mode of vibration signal, noise is filtered out；Step 7, restore vibration signal, acquire the vibration signal after filtering out noise: step 8, according to the vibration signal filtered out after noise, determining the abnormal operating condition of transformer.
Description
Technical field
Present invention vibration sound detection field more particularly to a kind of detection method and dress of the transformer exception state based on vibration sound
It sets.
Background technique
With the high speed development of smart grid, power equipment safety stable operation, which seems, to be even more important.Currently, to super-pressure
And the power equipment of above carries out condition monitoring, especially to the detection of abnormality seem it is further important and
Urgently.Important component of the power transformer as electric system is one of most important electrical equipment in substation, can
It is related to the safety of power grid by operation.In general, the abnormality of transformer can be divided into, iron core is abnormal and winding is abnormal.Iron core
Exception is mainly shown as core sataration, and winding generally includes winding deformation extremely, winding loosens etc..
The basic principle of transformer exception state-detection is to extract each characteristic quantity of Transformer, and analysis, identification are simultaneously
Tracking characteristics amount monitors the abnormal operating condition of transformer with this.Detection method according to exposure level can be divided into intrusive detection and
Noninvasive testing；Live detection can be divided into and the detection that has a power failure according to whether detection need to be shut down；It can divide according to detection limit type
For electrical quantity method and non-electric quantity method etc..In comparison, Noninvasive testing is portable strong, and installation is more convenient；Live detection
Do not influence transformer station high-voltage side bus；Non-electric quantity method and electric system are safer without electrical connection.Current transformer operating status
In common detection method, including detecting the pulse current method of shelf depreciation and the frequency of ultrasonic Detection Method, detection winding deformation
Response method and detection machinery and the vibration detection method of electric fault etc..These detection methods predominantly detect transformer insulated situation
And mechanical structure situation, wherein it is the most comprehensive with the detection of transformer vibration signal (vibration sound), for most of transformer fault
And abnormality can be reacted.
In the process of running, vibration caused by the magnetostriction and winding electric power of iron core silicon-steel sheet can around for transformer
Radiate the acoustic signal of different amplitudes and frequency.What transformer externally issued when operating normally is uniform low-frequency noise；If
Uneven sound is issued, then belongs to abnormality.Transformer can issue different sound under different operating statuses, can lead to
The detection made a sound to it is crossed, the operation conditions of transformer is grasped.It is worth noting that under transformer difference operating status
The detection made a sound not only can detecte a variety of catastrophe failures for causing electrical quantity to change, and can also detect many and not endanger
And abnormality for not causing electrical quantity to change of insulation, such as the loosening of transformer inside and outside components etc..
The deficiency of existing detection method:
Since the vibration signal of transformer sending is utilized in vibration sound detection method, it is easy to it is influenced by ambient noise,
Therefore vibration sound and noise how are efficiently identified, is the key that the method success.Existing frequently-used method, to this problem weight
Depending on not enough, not taking effective measures also and solving the problems, such as this.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of detection method of transformer exception state based on vibration sound, device,
Improve the detection accuracy of abnormality.
A kind of detection method of the transformer exception state based on vibration sound, comprising:
Step 1, the vibration signal sequence P=[P of the transformer of actual measurement is inputted1, P2..., PN], N is vibration signal sequence
Length；
Step 2, tectonic scale function phin(ω)；
Step 3, wavelet structure function Ψn(ω)；
Step 4, according to the vibration signal sequence P, the scaling function Φn(ω) and the wavelet function Ψn(ω),
Construct filter factor εP(m,n)；
Step 5, according to the scaling function Φn(ω) and the wavelet function Ψn(ω) and filter factor εP(m, n),
Seek the mode f of vibration signalk(n)；
Step 6, according to the mode f of vibration signalk(n), noise is filtered out；
Step 7, restore vibration signal, acquire the vibration signal after filtering out noise:
Step 8, according to the vibration signal filtered out after noise, the abnormal operating condition of transformer is determined.
A kind of detection device of the transformer exception state based on vibration sound, comprising:
Input unit inputs the vibration signal sequence P=[P of the transformer of actual measurement1, P2..., PN], N is vibration signal sequence
The length of column；
First structural unit, tectonic scale function phin(ω)；
Second structural unit, wavelet structure function Ψn(ω)；
Third structural unit, according to the vibration signal sequence P, the scaling function Φn(ω) and the wavelet function
Ψn(ω) constructs filter factor εP(m,n)；
Computing unit, according to the scaling function Φn(ω) and the wavelet function Ψn(ω) and filter factor εP(m,
N), the mode f of vibration signal is soughtk(n):
Unit is filtered out, according to the mode f of vibration signalk(n), noise is filtered out；
Recovery unit restores vibration signal, acquires the vibration signal after filtering out noise:
Judging unit determines the abnormal operating condition of transformer according to the vibration signal filtered out after noise.
In the present invention, a kind of new transformer exception condition detection method based on vibration sound is proposed, transformer shake is utilized
Pattern differentials between dynamic signal and ambient noise, are decomposed by wavelet transformation implementation pattern, corresponding to wiping out background noise
Low step mode retains higher order mode corresponding to vibration signal, achievees the purpose that wiping out background noise；On this basis, to filtering
Transformer vibration signal later carries out Mode Decomposition again, retains higher order mode corresponding to abnormality, so that it is determined that transformation
The abnormal operating condition of device improves the detection accuracy of abnormality.The method proposed has preferable robustness, calculates letter
It is single.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the schematic diagram of the detection method of transformer exception state of the embodiment of the present invention based on vibration sound；
Fig. 2 is the schematic diagram of the detection method of the transformer exception state based on vibration sound of application scenarios of the present invention.
Specific embodiment
The embodiment of the present invention is described in detail with reference to the accompanying drawing.
It will be appreciated that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts it is all its
Its embodiment, shall fall within the protection scope of the present invention.
For convenience of description, description apparatus above is to be divided into various units/modules with function to describe respectively.Certainly, exist
Implement to realize each unit/module function in the same or multiple software and or hardware when the present invention.
As shown in Figure 1, being a kind of detection method of the transformer exception state based on vibration sound of the present invention, comprising:
Step 1, the vibration signal sequence P=[P of the transformer of actual measurement is inputted1, P2..., PN], N is vibration signal sequence
Length；
Step 2, tectonic scale function phin(ω)；
Step 3, wavelet structure function Ψn(ω)；
Step 4, according to the vibration signal sequence P, the scaling function Φn(ω) and the wavelet function Ψn(ω),
Construct filter factor εP(m,n)；
Step 5, according to the scaling function Φn(ω) and the wavelet function Ψn(ω) and filter factor εP(m, n),
Seek the mode f of vibration signalk(n)；
Step 6, according to the mode f of vibration signalk(n), noise is filtered out；
Step 7, restore vibration signal, acquire the vibration signal after filtering out noise:
Step 8, according to the vibration signal filtered out after noise, the abnormal operating condition of transformer is determined.
The step 2 specifically:
Wherein, ω indicates that angular frequency, function β (x) indicate are as follows: β (x)=x4[35.8-87+71x2-28x3]；X is a ginseng
Number, γ are a parameter, value range is defined as:
The step 3 includes:
Wherein, ω indicates that angular frequency, function β (x) indicate are as follows: β (x)=x4[35.8-87+71x2-28x3]；X is a ginseng
Number, γ are a parameter, value range is defined as:
The step 4 includes:
Wherein, PmIndicate the than the m-th data of vibration signal sequence P.
The step 5 includes:
Wherein parameter K:
Symbol * indicates convolution algorithm
Rounding operation in expression.
The step 6 includes:
Oth order mode f in vibration signal0It (n) is noise, enabling it is 0.
The step 7 includes:
Wherein,To filter out the vibration signal after noise；
The step 8 includes:
Step 81, for having filtered out the vibration signal after noiseThe processing of step 4 and step 5 is re-started, evenThen step 4 and step 5 are carried out；
Step 82, it is assumed that signal mode striked by step 5 is expressed as Corresponding to big in higher order mode
In the part of given threshold value be switch events E:
E=n | fK(n)≥σ}；
Wherein β is judgment threshold.
The determination method of the judgment threshold specifically:
This patent proposes a kind of brand-new transformer exception condition detection method based on vibration sound.The method proposed utilizes
Pattern differentials between transformer vibration signal and ambient noise, are decomposed, wiping out background is made an uproar by wavelet transformation implementation pattern
Low step mode corresponding to sound retains higher order mode corresponding to vibration signal, achievees the purpose that wiping out background noise；In this base
On plinth, Mode Decomposition is carried out to the transformer vibration signal after filtering again, retains higher order mode corresponding to abnormality, from
And determine the abnormal operating condition of transformer, improve the detection accuracy of abnormality.The method proposed has preferable Shandong
Stick calculates simple.
As shown in Fig. 2, illustrating application scenarios of the invention below, comprising:
1. input data
Input the vibration signal sequence P=[P of actual measurement1,P2,…,PN], N is the length of vibration signal sequence.
2. tectonic scale function:
Wherein, ω indicates that angular frequency, function β (x) indicate are as follows:
β (x)=x4[35.8-87+71x2-28x3]。
γ is a parameter, value range is defined as:
3. wavelet structure function
Wherein, ω indicates that angular frequency, function β (x) indicate are as follows:
β (x)=x4[35.8-87+71x2-28x3]。
γ is a parameter, value range is defined as:
4. filter factor εPThe method for solving of (m, n) is as follows:
5. seeking the mode f of vibration signalk(n):
Wherein parameter K:
Symbol * indicates convolution algorithm
Rounding operation in expression.
6. filtering out noise
Oth order mode (i.e. f in vibration signal0It (n)) is noise, being enabled is 0
7. restoring vibration signal:
WhereinTo have filtered out the vibration signal after noise
8. determining abnormal operating condition
8.1 for having filtered out the vibration signal after noiseThe processing of step 4 and step 5 is re-started, evenThen step 4 and step 5. are carried out
Signal mode striked by 8.2 hypothesis steps 5 is expressed as(be distinguished with last processing result), then
Switch events correspond in higher order mode the part for being greater than given threshold value:
E=n | fK(n)≥σ}
Wherein β is judgment threshold:
Since the vibration signal of transformer sending is utilized in vibration sound detection method, it is easy to it is influenced by ambient noise,
Therefore vibration sound and noise how are efficiently identified, is the key that the method success.Existing frequently-used method, to this problem weight
Depending on not enough, not taking effective measures also and solving the problems, such as this.
This patent proposes a kind of brand-new transformer exception condition detection method based on vibration sound.The method proposed utilizes
Pattern differentials between transformer vibration signal and ambient noise, are decomposed, wiping out background is made an uproar by wavelet transformation implementation pattern
Low step mode corresponding to sound retains higher order mode corresponding to vibration signal, achievees the purpose that wiping out background noise；In this base
On plinth, Mode Decomposition is carried out to the transformer vibration signal after filtering again, retains higher order mode corresponding to abnormality, from
And determine the abnormal operating condition of transformer, improve the detection accuracy of abnormality.The method proposed has preferable Shandong
Stick calculates simple.
The present invention also provides a kind of detection devices of transformer exception state based on vibration sound, comprising:
Input unit inputs the vibration signal sequence P=[P of the transformer of actual measurement1, P2..., PN], N is vibration signal sequence
The length of column；
First structural unit, tectonic scale function phin(ω)；
Second structural unit, wavelet structure function Ψn(ω)；
Third structural unit, according to the vibration signal sequence P, the scaling function Φn(ω) and the wavelet function
Ψn(ω) constructs filter factor εP(m,n)；
Computing unit, according to the scaling function Φn(ω) and the wavelet function Ψn(ω) and filter factor εP(m,
N), the mode f of vibration signal is soughtk(n):
Unit is filtered out, according to the mode f of vibration signalk(n), noise is filtered out；
Recovery unit restores vibration signal, acquires the vibration signal after filtering out noise:
Judging unit determines the abnormal operating condition of transformer according to the vibration signal filtered out after noise.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by those familiar with the art, all answers
It is included within the scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (10)
1. a kind of detection method of the transformer exception state based on vibration sound characterized by comprising
Step 1, the vibration signal sequence P=[P of the transformer of actual measurement is inputted1, P2..., PN], N is the length of vibration signal sequence
Degree；
Step 2, tectonic scale function phin(ω)；
Step 3, wavelet structure function Ψn(ω)；
Step 4, according to the vibration signal sequence P, the scaling function Φn(ω) and the wavelet function Ψn(ω), construction
Filter factor εP(m,n)；
Step 5, according to the scaling function Φn(ω) and the wavelet function Ψn(ω) and filter factor εP(m, n) is sought
The mode f of vibration signalk(n)；
Step 6, according to the mode f of vibration signalk(n), noise is filtered out；
Step 7, restore vibration signal, acquire the vibration signal after filtering out noise:
Step 8, according to the vibration signal filtered out after noise, the abnormal operating condition of transformer is determined.
2. the method according to claim 1, wherein the step 2 specifically:
Wherein, ω indicates that angular frequency, function β (x) indicate are as follows: β (x)=x4[35.8-87+71x2-28x3]；X is a parameter, γ
For a parameter, value range is defined as:
3. according to the method described in claim 2, it is characterized in that, the step 3 includes:
Wherein, ω indicates that angular frequency, function β (x) indicate are as follows: β (x)=x4[35.8-87+71x2-28x3]；X is a parameter, γ
For a parameter, value range is defined as:
4. the method according to claim 1, wherein the step 4 includes:
Wherein, PmIndicate the than the m-th data of vibration signal sequence P.
5. the method according to claim 1, wherein the step 5 includes:
Wherein parameter K:
Symbol * indicates convolution algorithm
Rounding operation in expression.
6. the method according to claim 1, wherein the step 6 includes:
Oth order mode f in vibration signal0It (n) is noise, enabling it is 0.
7. the method according to claim 1, wherein the step 7 includes:
Wherein,To filter out the vibration signal after noise；
8. the method according to claim 1, wherein the step 8 includes:
Step 81, for having filtered out the vibration signal after noiseThe processing of step 4 and step 5 is re-started, evenThen step 4 and step 5 are carried out；
Step 82, it is assumed that signal mode striked by step 5 is expressed as It is given corresponding to being greater than in higher order mode
The part of threshold value is switch events E:
E=n | fK(n)≥σ}；
Wherein β is judgment threshold.
9. according to the method described in claim 8, it is characterized in that, the determination method of the judgment threshold specifically:
10. a kind of detection device of the transformer exception state based on vibration sound characterized by comprising
Input unit inputs the vibration signal sequence P=[P of the transformer of actual measurement1, P2..., PN], N is vibration signal sequence
Length；
First structural unit, tectonic scale function phin(ω)；
Second structural unit, wavelet structure function Ψn(ω)；
Third structural unit, according to the vibration signal sequence P, the scaling function Φn(ω) and the wavelet function Ψn
(ω) constructs filter factor εP(m,n)；
Computing unit, according to the scaling function Φn(ω) and the wavelet function ψn(ω) and filter factor εP(m, n) is asked
Take the mode f of vibration signalk(n):
Unit is filtered out, according to the mode f of vibration signalk(n), noise is filtered out；
Recovery unit restores vibration signal, acquires the vibration signal after filtering out noise:
Judging unit determines the abnormal operating condition of transformer according to the vibration signal filtered out after noise.
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| CN201910547401.1A CN110221155A (en) | 2019-06-24 | 2019-06-24 | A kind of detection method and device of the transformer exception state based on vibration sound |
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| CN103267907A (en) * | 2013-04-19 | 2013-08-28 | 上海交通大学 | Method for identifying modal parameters of transformer coil |
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| CN105547465A (en) * | 2015-12-08 | 2016-05-04 | 华北电力大学（保定） | Transformer vibration signal winding state feature extraction method |
| CN109029959A (en) * | 2018-08-27 | 2018-12-18 | 深圳供电局有限公司 | A kind of machine performance detection method of transformer winding |
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2019
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR101308003B1 (en) * | 2012-07-31 | 2013-09-12 | 서울과학기술대학교 산학협력단 | Mehthod of arc detection based on wavelet |
| CN103267907A (en) * | 2013-04-19 | 2013-08-28 | 上海交通大学 | Method for identifying modal parameters of transformer coil |
| CN103398769A (en) * | 2013-08-05 | 2013-11-20 | 国家电网公司 | Transformer on-line fault detecting method based on sampling integrated SVM (support vector machine) under wavelet GGD (general Gaussian distribution) feather and unbalanced K-mean value |
| CN103902844A (en) * | 2014-04-24 | 2014-07-02 | 国家电网公司 | Transformer vibration signal de-noising method based on EEMD kurtosis threshold value |
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