Breaker state detection method based on waveform characteristics identification

A circuit breaker state and detection method technology, which is applied in the direction of circuit breaker testing, etc., can solve the problem that the failure of the circuit breaker mechanism cannot be effectively detected, and achieve the goal of optimizing the state management mode and state maintenance strategy, reducing investment, and improving detection efficiency Effect

Active Publication Date: 2017-03-22
STATE GRID CORP OF CHINA +1
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it only diagnoses electrical contact defects and insulation medium defects, and cannot effectively detect circuit breaker mechanism faults.

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
  • Breaker state detection method based on waveform characteristics identification
  • Breaker state detection method based on waveform characteristics identification
  • Breaker state detection method based on waveform characteristics identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] see figure 1 In this embodiment, the circuit breaker state detection method based on waveform feature recognition includes the following steps:

[0060] Step 1. Collect a normal opening and closing current signal x(t) of a circuit breaker under normal working conditions.

[0061] Step 2. Decompose the current signal x(t) into m intrinsic mode function components Intrinsic Mode Function, referred to as IMF components, namely:

[0062] x(t)=∑c i (t)+r i (t);

[0063] Among them, c i (t) is an IMF component of the current signal x(t), i=1,...,m; r i (t) is the difference signal.

[0064] Step 3. Add the first p-order IMF components, p≤m, to form the current signal z(t) after denoising:

[0065]

[0066] Step 4. Analyze the current denoising signal z(t), and obtain the feature vector set X of the opening and closing current signal of the circuit breaker under normal working conditions: is the coordinate of the feature point corresponding to the feature vector of...

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 breaker state detection method based on waveform characteristics identification. The method comprises the following steps: collecting the breaker opening and closing current signal of the breaker in the normal working condition; decomposing it into a number of function components in intrinsic mode; adding the first three-order function components in intrinsic mode to form a de-noising signal and expressing it in the Cartesian coordinate system; selecting characteristic points with equal intervals on the current waveform; connecting the origin of the coordinate and the characteristic points to form a set of waveform characteristic vectors; using the same steps to calculate the actual current signal of the breaker to obtain a set of waveform characteristic vectors; defining the similarity and comparing the two sets of characteristics vectors; and based on the similarity of the two sets of vectors, determining the state of the breaker. The detection method of the invention is capable of achieving high effective and accurate diagnosis over the breaker fault, can effectively remove the noise interference in the current signal, eliminate the influence of incorrect extraction of waveform characteristics on the determination result, and improve the accuracy and efficiency of calculation.

Description

technical field [0001] The invention relates to a method for detecting the state of electric equipment, in particular to a method for detecting the state of a circuit breaker based on an opening and closing current waveform. Background technique [0002] With the expansion of city scale and the growth of electricity consumption, the power grid is getting bigger and bigger, and the number of distribution network equipment under the jurisdiction of the unit personnel has increased sharply. Equipment operation management mode is imminent. [0003] Power grid switchgear is the largest number of power grid equipment, and circuit breakers are the most complex and important switchgear, which are widely used in power plants, substations, switch stations and power lines. The safe and stable operation of the circuit breaker can not only effectively limit the short-circuit current to reduce the electrothermal effect caused by the fault current, but also has great significance for impr...

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): G01R31/327
CPCG01R31/327
Inventor 李宾宾柯艳国田宇罗沙朱胜龙朱太云杨为程登峰叶剑涛
Owner STATE GRID CORP OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products