CN110545087A - Transformer vibration sound signal filtering method and system by utilizing nonlinear regularization - Google Patents

Abstract

the embodiment of the invention discloses a method and a system for filtering a vibration sound signal of a transformer by utilizing nonlinear regularization, wherein the method comprises the following steps: step 1, inputting an actually measured vibration sound signal sequence S; step 2, carrying out noise filtering processing on the signal sequence S according to a nonlinear regularization principle, wherein the signal sequence after noise filtering is SNEW; specifically, SNEW ═ I + H (CG-I) ] -1 HCS; wherein I is an NxN dimensional identity matrix; h is a nonlinear factor matrix; c is a regularization matrix; g is a constraint matrix.

Description

Transformer vibration sound signal filtering method and system by utilizing nonlinear regularization

Technical Field

the invention relates to the field of electric power, in particular to a method and a system for filtering a vibration sound signal of a transformer.

background

With the high-speed development of the smart grid, the safe and stable operation of the power equipment is particularly important. At present, the detection of the operating state of the power equipment with ultrahigh voltage and above voltage grades, especially the detection of the abnormal state, is increasingly important and urgent. As an important component of an electric power system, a power transformer is one of the most important electrical devices in a substation, and its reliable operation is related to the safety of a power grid. Generally, the abnormal state of the transformer can be divided into core abnormality and winding abnormality. The core abnormality is mainly represented by core saturation, and the winding abnormality generally includes winding deformation, winding looseness and the like.

The basic principle of the transformer abnormal state detection is to extract related characteristic quantity in the operation of the transformer, analyze, identify and track the characteristic quantity so as to monitor the abnormal operation state of the transformer. The detection method can be divided into invasive detection and non-invasive detection according to the contact degree; the detection can be divided into live detection and power failure detection according to whether the shutdown detection is needed or not; the method can be classified into an electrical quantity method, a non-electrical quantity method, and the like according to the type of the detected quantity. In comparison, the non-invasive detection has strong transportability and is more convenient to install; the live detection does not affect the operation of the transformer; the non-electric quantity method is not electrically connected with the power system, so that the method is safer. The current common detection methods for the operation state of the transformer include a pulse current method and an ultrasonic detection method for detecting partial discharge, a frequency response method for detecting winding deformation, a vibration detection method for detecting mechanical and electrical faults, and the like. The detection methods mainly detect the insulation condition and the mechanical structure condition of the transformer, wherein the detection of the vibration signal (vibration sound) of the transformer is the most comprehensive, and the fault and the abnormal state of most transformers can be reflected.

in the running process of the transformer, the magnetostriction of the iron core silicon steel sheets and the vibration caused by the winding electrodynamic force can radiate vibration sound signals with different amplitudes and frequencies to the periphery. When the transformer normally operates, uniform low-frequency noise is emitted outwards; if the sound is not uniform, it is not normal. The transformer can make distinctive sounds in different running states, and the running state of the transformer can be mastered by detecting the sounds made by the transformer. It is worth noting that the detection of the sound emitted by the transformer in different operating states not only can detect a plurality of serious faults causing the change of the electrical quantity, but also can detect a plurality of abnormal states which do not endanger the insulation and do not cause the change of the electrical quantity, such as the loosening of internal and external parts of the transformer, and the like.

because the vibration sound detection method utilizes the vibration signal sent by the transformer, the vibration sound detection method is easily influenced by environmental noise, and therefore, how to effectively identify the vibration sound and the noise is the key for success of the method. The existing common method has insufficient attention to the problem, and no effective measure is taken to solve the problem.

Disclosure of Invention

The invention aims to provide a transformer vibration and sound signal filtering method and system by utilizing nonlinear regularization. The method has better robustness and simpler calculation.

in order to achieve the purpose, the invention provides the following scheme:

A transformer vibro-acoustic signal filtering method using non-linear regularization, comprising:

Step 1, inputting an actually measured vibration sound signal sequence S;

Step 2, carrying out noise filtering processing on the signal sequence S according to a nonlinear regularization principle, wherein the signal sequence after noise filtering is SNEW; specifically, SNEW ═ I + H (CG-I) ] -1 HCS; wherein I is an NxN dimensional identity matrix; h is a nonlinear factor matrix; c is a regularization matrix; g is a constraint matrix.

A transformer vibro-acoustic signal filtering system with non-linear regularization, comprising:

the acquisition module inputs an actually measured vibration sound signal sequence S;

The filtering module is used for carrying out noise filtering processing on the signal sequence S according to a nonlinear regularization principle, and the signal sequence after noise filtering is SNEW; specifically, SNEW ═ I + H (CG-I) ] -1 HCS; wherein I is an NxN dimensional identity matrix; h is a nonlinear factor matrix; c is a regularization matrix; g is a constraint matrix.

according to the specific embodiment provided by the invention, the invention discloses the following technical effects:

although the transformer vibration and sound detection method is widely applied to monitoring the running state of the transformer and the technology is relatively mature, the vibration and sound detection method utilizes the vibration signal sent by the transformer and is easily influenced by the environmental noise, so that the method often cannot obtain satisfactory results when being applied in the actual working environment.

The invention aims to provide a transformer vibration and sound signal filtering method and system by utilizing nonlinear regularization. The method has better robustness and simpler calculation.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.

FIG. 1 is a schematic flow diagram of the process of the present invention;

FIG. 2 is a schematic diagram of the system of the present invention;

FIG. 3 is a flow chart illustrating an embodiment of the present invention.

Detailed Description

the technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

in order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.

FIG. 1 is a schematic flow chart of a transformer vibro-acoustic signal filtering method using non-linear regularization

Fig. 1 is a schematic flow chart of a transformer vibro-acoustic signal filtering method using nonlinear regularization according to the present invention. As shown in fig. 1, the method for filtering a transformer vibro-acoustic signal by using nonlinear regularization specifically includes the following steps:

Step 1, inputting an actually measured vibration sound signal sequence S;

step 2, carrying out noise filtering processing on the signal sequence S according to a nonlinear regularization principle, wherein the signal sequence after noise filtering is SNEW; specifically, SNEW ═ I + H (CG-I) ] -1 HCS; wherein I is an NxN dimensional identity matrix; h is a nonlinear factor matrix; c is a regularization matrix; g is a constraint matrix.

before the step 2, the method further comprises:

And 3, solving the nonlinear factor matrix H, the regularization matrix C and the constraint matrix G.

the step 3 comprises the following steps:

step 301, obtaining a nonlinear factor matrix H, specifically:

H＝Γ[S(S-m)]

Wherein:

mS mean of the Signal sequence S

σ S mean square error of signal sequence S

Step 302, obtaining the regularization matrix C, specifically:

C＝[S-m][S-m]

wherein:

[ S-mS ] T: transposed matrix of matrix [ S-mS ]

Step 303, obtaining the constraint matrix G, specifically:

G＝SS+CH

Wherein:

H-1: inverse matrix of matrix H

FIG. 2 structural intent of a transformer vibro-acoustic signal filtering system using non-linear regularization

fig. 2 is a schematic structural diagram of a transformer vibro-acoustic signal filtering system using nonlinear regularization according to the present invention. As shown in fig. 2, the transformer vibro-acoustic signal filtering system using nonlinear regularization includes the following structures:

The acquisition module 401 inputs an actually measured vibration and sound signal sequence S;

A filtering module 402, configured to perform noise filtering processing on the signal sequence S according to a nonlinear regularization principle, where the signal sequence after noise filtering is SNEW; specifically, SNEW ═ I + H (CG-I) ] -1 HCS; wherein I is an NxN dimensional identity matrix; h is a nonlinear factor matrix; c is a regularization matrix; g is a constraint matrix.

the system further comprises:

And a calculation module 403, which finds the nonlinear factor matrix H, the regularizer C and the constraint matrix G.

the calculation module 403 includes the following units:

the first calculation unit 4031 calculates the nonlinear factor matrix H, which specifically is:

H＝Γ[S(S-m)]

Wherein:

mS mean of the Signal sequence S

σ S mean square error of signal sequence S

the second calculating unit 4032 calculates the regularization matrix C, which specifically includes:

C＝[S-m][S-m]

wherein:

[ S-mS ] T: transposed matrix of matrix [ S-mS ]

the third calculation unit 4033, which calculates the constraint matrix G, specifically is:

G＝SS+CH

wherein:

h-1: inverse matrix of matrix H

The following provides an embodiment for further illustrating the invention

FIG. 3 is a flow chart illustrating an embodiment of the present invention. As shown in fig. 3, the method specifically includes the following steps:

1. inputting measured vibration sound signal sequence

S＝[s,s,…,s,s]

wherein:

S: measured PLC signal data sequence with length N

Measured PLC signal with serial number i, i is 1,2, …

2. solving a non-linear factor matrix

H＝Γ[S(S-m)]

wherein:

mS mean of the Signal sequence S

σ S mean square error of signal sequence S

3. Regularization matrix is solved

C＝[S-m][S-m]

wherein:

[ S-mS ] T: transposed matrix of matrix [ S-mS ]

4. Determining a constraint matrix

G＝SS+CH

Wherein:

h-1: inverse matrix of matrix H

5. Filtering

Carrying out noise filtering processing on the signal sequence S according to a nonlinear regularization principle, wherein the signal sequence after noise filtering is SNEW; specifically, SNEW ═ I + H (CG-I) ] -1 HCS; wherein I is an NxN dimensional identity matrix; h is a nonlinear factor matrix; c is a regularization matrix; g is a constraint matrix.

The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is simple because the system corresponds to the method disclosed by the embodiment, and the relevant part can be referred to the method part for description.

The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (5)

1. a transformer vibration and sound signal filtering method utilizing nonlinear regularization is characterized by comprising the following steps:

step 1, inputting an actually measured vibration sound signal sequence S;

Step 2, carrying out noise filtering processing on the signal sequence S according to a nonlinear regularization principle, wherein the signal sequence after noise filtering is SNEW; specifically, SNEW ═ I + H (CG-I) ] -1 HCS; wherein I is an NxN dimensional identity matrix; h is a nonlinear factor matrix; c is a regularization matrix; g is a constraint matrix.

2. The method of claim 1, wherein prior to step 2, the method further comprises:

And 3, solving the nonlinear factor matrix H, the regularization matrix C and the constraint matrix G.

3. The method of claim 2, wherein step 3 comprises:

Step 301, obtaining a nonlinear factor matrix H, specifically:

H＝Γ[S(S-m)]

Wherein:

mS mean of the Signal sequence S

σ S mean square error of signal sequence S

Step 302, obtaining the regularization matrix C, specifically:

C＝[S-m][S-m]

wherein:

[ S-mS ] T: transposed matrix of matrix [ S-mS ]

step 303, obtaining the constraint matrix G, specifically:

G＝SS+CH

wherein:

H-1: the inverse of matrix H.

4. A transformer vibro-acoustic signal filtering system using non-linear regularization, comprising:

the acquisition module inputs an actually measured vibration sound signal sequence S;

the filtering module is used for carrying out noise filtering processing on the signal sequence S according to a nonlinear regularization principle, and the signal sequence after noise filtering is SNEW; specifically, SNEW ═ I + H (CG-I) ] -1 HCS; wherein I is an NxN dimensional identity matrix; h is a nonlinear factor matrix; c is a regularization matrix; g is a constraint matrix.

5. The system of claim 4, further comprising:

and the calculation module is used for solving the nonlinear factor matrix H, the regularization matrix C and the constraint matrix G.