CN110286287A - A kind of running state of transformer vibration sound detection signal filtering method and system based on wavelet transformation - Google Patents
A kind of running state of transformer vibration sound detection signal filtering method and system based on wavelet transformation Download PDFInfo
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- CN110286287A CN110286287A CN201910578466.2A CN201910578466A CN110286287A CN 110286287 A CN110286287 A CN 110286287A CN 201910578466 A CN201910578466 A CN 201910578466A CN 110286287 A CN110286287 A CN 110286287A
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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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- 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
Abstract
The embodiment of the present invention discloses a kind of running state of transformer vibration sound detection signal filtering method and system based on wavelet transformation, which comprises step 1, inputs the acoustic signal sequence S of actual measurement；Step 2, the acoustic signal sequence S is carried out filtering out noise processed, generation filters out the data sequence S after noiseNEW；Specifically: SNEW=Φ XOPT；Wherein, Φ is the projection matrix being made of continuous wavelet transform；XOPTFor optimum filtering vector.
Description
Technical field
The present invention relates to power domain more particularly to a kind of running state of transformer vibration sound detection signal filtering method and
System.
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..
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
The running state of transformer that the object of the present invention is to provide a kind of based on wavelet transformation shakes sound detection signal filtering side
Transformer acoustic signal and ambient noise (including abnormal point) under different operating statuses is utilized in method and system, the method proposed
Difference in continuous wavelet transform domain, and be filtered according to this difference, the signal-to-noise ratio of detection signal is improved, shape is improved
The performance of state monitoring.The method proposed has preferable robustness, calculates simple.
To achieve the above object, the present invention provides following schemes:
A kind of running state of transformer vibration sound detection signal filtering method based on wavelet transformation, comprising:
Step 1, the acoustic signal sequence S of actual measurement is inputted；
Step 2, the acoustic signal sequence S is carried out filtering out noise processed, generation filters out the data sequence after noise
SNEW；Specifically: SNEW=Φ XOPT；Wherein, Φ is the projection matrix being made of continuous wavelet transform；XOPTFor optimum filtering arrow
Amount.
A kind of running state of transformer vibration sound detection signal filtering system based on wavelet transformation, comprising:
Module is obtained, the acoustic signal sequence S of actual measurement is inputted；
Filter module carries out the acoustic signal sequence S to filter out noise processed, and generation filters out the data sequence after noise
SNEW；Specifically: SNEW=Φ XOPT；Wherein, Φ is the projection matrix being made of continuous wavelet transform；XOPTFor optimum filtering arrow
Amount.
The specific embodiment provided according to the present invention, the invention discloses following technical effects:
Although transformer shakes, sound detection method has a wide range of applications in running state of transformer monitoring, and technology is opposite
Maturation, but since the vibration signal of transformer sending is utilized in vibration sound detection method, it is easy to it is influenced by ambient noise,
Institute usually cannot get satisfactory result when applying in actual working environment in this approach.The object of the present invention is to provide one
Running state of transformer vibration sound detection signal filtering method and system, the method that is proposed of the kind based on wavelet transformation are utilized not
With transformer acoustic signal under operating status and the difference of ambient noise (including abnormal point) in continuous wavelet transform domain, and root
Difference is filtered accordingly, is improved the signal-to-noise ratio of detection signal, is improved the performance of status monitoring.The method proposed has
Preferable robustness calculates simple.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described.It is clear that drawings in the following description are only some embodiments of the invention,
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings
Other attached drawings.
Fig. 1 is flow diagram of the invention；
Fig. 2 is structural schematic diagram of the invention；
Fig. 3 is the flow diagram of present invention specific implementation case.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.Obviously, the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this
Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts
Example is applied, shall fall within the protection scope of the present invention.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
A kind of flow diagram of the running state of transformer vibration sound detection signal filtering method based on wavelet transformation of Fig. 1
Fig. 1 is a kind of process of the running state of transformer vibration sound detection signal filtering method based on wavelet transformation of the present invention
Schematic diagram.As shown in Figure 1, a kind of running state of transformer vibration sound detection signal filtering method tool based on wavelet transformation
Body the following steps are included:
Step 1, the acoustic signal sequence S of actual measurement is inputted；
Step 2, the acoustic signal sequence S is carried out filtering out noise processed, generation filters out the data sequence after noise
SNEW；Specifically: SNEW=Φ XOPT；Wherein, Φ is the projection matrix being made of continuous wavelet transform；XOPTFor optimum filtering arrow
Amount.
Before the step 2, the method also includes:
Step 3, the projection matrix Φ and optimum filtering vector X are soughtOPT。
The step 3 includes:
Step 301, the columns of the projection matrix is determined, specifically:
L=[10~20] N
Wherein:
L: the columns of the projection matrix
N: the number of element in the acoustic signal sequence S
Step 302, the projection matrix is sought, specifically:
Wherein:
ψ [*]: independent variable is mole small echo of *
ai: order is the scale factor of i
ai=2-i, i=1,2 ..., N
Step 303, the optimum filtering vector is sought, specifically:
Step 1: initialization filtered vector, specifically: X0=0
Step 2: iteration updates filtered vector, specifically:
Xk=T [Φ*S]+Xk-1, k=1,2 ...
Wherein:
T: threshold operator, operation T [Φ*S] indicate Φ*Element in S less than threshold value 0.026 resets to 0
Φ*: the pseudoinverse of the projection matrix Φ
Third step, constantly repeatedly second step, until adjacent iteration result X twiceKAnd XK-1Difference is less than 0.0001, i.e.,When, iteration ends obtain the optimum filtering vector: XOPT=XK
A kind of structure of the running state of transformer vibration sound detection signal filtering system based on wavelet transformation of Fig. 2 is intended to
Fig. 2 is a kind of structure of the running state of transformer vibration sound detection signal filtering system based on wavelet transformation of the present invention
Schematic diagram.As shown in Fig. 2, a kind of running state of transformer vibration sound detection signal filtering system based on wavelet transformation includes
With flowering structure:
Module 401 is obtained, the acoustic signal sequence S of actual measurement is inputted；
Filter module 402 carries out the acoustic signal sequence S to filter out noise processed, and generation filters out the data after noise
Sequence SNEW；Specifically: SNEW=Φ XOPT；Wherein, Φ is the projection matrix being made of continuous wavelet transform；XOPTFor optimum filtering
Vector.
The system, further includes:
Computing module 403 seeks the projection matrix Φ and optimum filtering vector XOPT。
A specific implementation case is provided below, further illustrates the solution of the present invention
Fig. 3 is the flow diagram of present invention specific implementation case.As shown in figure 3, specifically includes the following steps:
1. inputting the acoustic signal sequence of actual measurement
S=[s1,s2,…,sN-1,sN]
Wherein:
S: actual measurement acoustic signal data sequence, length N
si, i=1,2 ..., N: serial number i actual measurement acoustic signal
2. determining projection matrix columns
L=[10~20] N
Wherein:
L: the columns of the projection matrix
N: the number of element in the acoustic signal sequence S
3. seeking projection matrix
Wherein:
ψ [*]: independent variable is mole small echo of *
ai: order is the scale factor of i
ai=2-i, i=1,2 ..., N
4. seeking optimum filtering vector
Step 1: initialization filtered vector, specifically: X0=0
Step 2: iteration updates filtered vector, specifically:
Xk=T [Φ * S]+Xk-1, k=1,2 ...
Wherein:
T: threshold operator, operation T [Φ*S] indicate Φ*Element in S less than threshold value 0.026 resets to 0
Φ*: the pseudoinverse of the projection matrix Φ
Third step, constantly repeatedly second step, until adjacent iteration result X twiceKAnd XK-1Difference is less than 0.0001, i.e.,When, iteration ends obtain the optimum filtering vector: XOPT=XK
5. filtering
The acoustic signal sequence S is carried out to filter out noise processed, generation filters out the data sequence S after noiseNEW；Specifically
Are as follows: SNEW=Φ XOPT；Wherein, Φ is the projection matrix being made of continuous wavelet transform；XOPTFor optimum filtering vector.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For system disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so description is relatively simple, related place is referring to method part illustration
?.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said
It is bright to be merely used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, foundation
Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not
It is interpreted as limitation of the present invention.
Claims (5)
- The sound detection signal filtering method 1. a kind of running state of transformer based on wavelet transformation shakes characterized by comprisingStep 1, the acoustic signal sequence S of actual measurement is inputted；Step 2, the acoustic signal sequence S is carried out filtering out noise processed, generation filters out the data sequence S after noiseNEW；Tool Body are as follows: SNEW=Φ XOPT；Wherein, Φ is the projection matrix being made of continuous wavelet transform；XOPTFor optimum filtering vector.
- 2. the method according to claim 1, wherein before the step 2, the method also includes:Step 3, the projection matrix Φ and optimum filtering vector X are soughtOPT。
- 3. according to the method described in claim 2, it is characterized in that, the step 3 includes:Step 301, the columns of the projection matrix is determined, specifically:L=[10~20] NWherein:L: the columns of the projection matrixN: the number of element in the acoustic signal sequence SStep 302, the projection matrix is sought, specifically:Wherein:ψ [*]: independent variable is mole small echo of *ai: order is the scale factor of iai=2-i, i=1,2 ..., NStep 303, the optimum filtering vector is sought, specifically:Step 1: initialization filtered vector, specifically: X0=0Step 2: iteration updates filtered vector, specifically:Xk=T [Φ*S]+Xk-1, k=1,2 ...Wherein:T: threshold operator, operation T [Φ*S] indicate Φ*Element in S less than threshold value 0.026 resets to 0Φ*: the pseudoinverse of the projection matrix ΦThird step, constantly repeatedly second step, until adjacent iteration result X twiceKAnd XK-1Difference is less than 0.0001, i.e.,When, iteration ends obtain the optimum filtering vector: XOPT=XK。
- The sound detection signal filtering system 4. a kind of running state of transformer based on wavelet transformation shakes characterized by comprisingModule is obtained, the acoustic signal sequence S of actual measurement is inputted；Filter module carries out the acoustic signal sequence S to filter out noise processed, and generation filters out the data sequence S after noiseNEW； Specifically: SNEW=Φ XOPT；Wherein, Φ is the projection matrix being made of continuous wavelet transform；XOPTFor optimum filtering vector.
- 5. system according to claim 4, which is characterized in that further include:Computing module seeks the projection matrix Φ and optimum filtering vector XOPT。
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| CN112101144A (en) * | 2020-08-27 | 2020-12-18 | 云南电网有限责任公司昭通供电局 | Self-adaptive method for improving transformer vibration signal processing precision |
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