Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Transformer DC magnetic bias judgment method based on wavelet energy spectrum characteristics of vibration signals

A technology of vibration signal and DC magnetic bias, applied in instruments, measuring electrical variables, measuring ultrasonic/sonic/infrasonic waves, etc., can solve the problems of lack of persuasion, large amount of training, and easy to be interfered by other factors, and achieve the realization process Simple and effective, low data preprocessing requirements, and low on-site data volume requirements

Active Publication Date:
View PDF17 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a transformer DC bias judgment method based on the vibration signal wavelet energy spectrum characteristics, so as to solve the high requirements on the effectiveness and accuracy of data existing in the prior art for transformer DC bias judgment , and a large amount of training, lack of theoretical basis and evaluation of DC bias state, susceptible to interference from other factors, lack of convincing, low accuracy and reliability and other technical problems

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Transformer DC magnetic bias judgment method based on wavelet energy spectrum characteristics of vibration signals
  • Transformer DC magnetic bias judgment method based on wavelet energy spectrum characteristics of vibration signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. A transformer DC bias judgment method based on vibration signal wavelet energy spectrum features, the specific implementation steps are as follows:

[0035] Step A: Acquisition and processing of transformer vibration signals

[0036] Step A1: Use the vibration sensor installed on the side of the transformer box to collect the vibration signal of the transformer at a sampling frequency of 4000 Hz, where the vibration sensor adopts the vibration sensor of the acceleration category;

[0037] Step A2: The previous 99 sampling points and the current downsampling point k 0 The acceleration value a(k 0 -99), a(k 0 -98), a(k 0 -97), ..., a(k 0 -2), a(k 0 -1), a(k 0 ) constitute the transformer vibration signal sequence A(k 0 ), A(k 0 )=[a(k 0 -99), a(k 0 -98), a(k 0 -97), ..., a(k 0 -2), a(k 0 -1), a(k 0 )];

[0038] Step A3: Use the cent...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a transformer DC magnetic bias judgment method based on wavelet energy spectrum characteristics of a vibration signal. The method comprises the following steps: A, acquiring the vibration signal of a transformer and processing the acquired signal; B, judging the DC magnetic bias of the transformer according to the energy spectrum characteristics of the vibration signal frequency component energy distribution sequence; within the time T, if the wavelet energy spectrum characteristic C is always greater than the judgment threshold D, judging that DC magnetic bias occurs;otherwise, turning to the step 1. According to the invention, the technical problems that in the prior art, transformer DC magnetic bias judgment is high in requirement for effectiveness and accuracyof data, large in training amount, lack of theoretical basis, lack of evaluation on the DC magnetic bias state, prone to being disturbed by other factors, lack of persuasion, low in accuracy and reliability and the like are solved.

Description

technical field [0001] The invention relates to the technical field of signal detection and processing, in particular to a transformer DC bias judgment method based on vibration signal wavelet energy spectrum features. Background technique [0002] Due to factors such as track stray current, asymmetrical grounding method of DC transmission and geomagnetic storm, the neutral point of the transformer produces DC magnetic flux, which makes the transformer work in an abnormal state, which is called the DC bias phenomenon of the transformer. After the DC bias occurs in the transformer, problems such as local overheating and aggravated vibration and noise will occur, which will damage the operating life of the transformer, and will cause the relay protection device to malfunction, endangering the safe and stable operation of the power supply system. Therefore, it is necessary to judge the DC bias state of the transformer to provide a theoretical basis for the formulation of the DC...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01H17/00G01R31/00G06F17/15
CPCG01H17/00G01R31/00G06F17/15
Inventor 刘君牛唯谈竹奎马春雷曾华荣马晓红张迅曾鹏陈沛龙黄军凯许逵杨涛陈林李堃徐舒蓉李欣欧阳泽宇
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products