Method and system for recognition of GIS ultrahigh frequency partial discharge signal

A discharge signal and recognition method technology, applied in neural learning methods, testing dielectric strength, biological neural network models, etc., can solve problems such as low reliability and accuracy, sensitivity to initial weight thresholds, and falling into local minima , to achieve the effect of improving efficiency and accuracy, avoiding local optimum, and overcoming accuracy

Inactive Publication Date: 2013-09-25
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
View PDF2 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the selection of various characteristic parameters, there is no better method to determine which characteristic parameters can effectively identify the type of partial discharge in GIS. Various mixed characteristics have been proposed, but there is no strong theoretical basis; and in various ...

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
  • Method and system for recognition of GIS ultrahigh frequency partial discharge signal
  • Method and system for recognition of GIS ultrahigh frequency partial discharge signal
  • Method and system for recognition of GIS ultrahigh frequency partial discharge signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0021] see figure 1 As shown, a GIS UHF partial discharge signal identification method includes the following steps:

[0022] Step S101, preprocessing the GIS UHF partial discharge signal to obtain Three-dimensional spectrogram, then enter step S102; Wherein, is the phase, q is the discharge amplitude, and t is the predetermined continuous cycle.

[0023] As a preferred embodiment, the above-mentioned preprocessing process may specifically include the following:

[0024] Step S1011, collecting GIS UHF partial discharge signals for a predetermined number of consecutive (for example, 50) periods (1s) as a discharge sample, and uniformly storing the discharge signals in the form of single-cycle data to obtain the 3D spectrogram;

[0025] Step S1012, filtering out the interference mixed with the collected GIS UHF ...

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 provides a method and system for recognition of a GIS ultrahigh frequency partial discharge signal. The method for recognition of the GIS ultrahigh frequency partial discharge signal comprises the following steps of (1) carrying out preprocessing on the GIS ultrahigh frequency partial discharge signal to obtain a three-dimensional spectrogram, (2) carrying out projection on the three-dimensional spectrogram to form a two-dimensional spectrogram, respectively extracting discharge characteristic parameters which describe shape difference of the two-dimensional spectrogram, and discharge characteristic parameters which describe difference between a positive semi-circle outline and a negative semi-circle outline of the two-dimensional spectrogram to obtain a sample to be detected, and (3) carrying out defect recognition on the sample to be detected according to an ABC-BP model which is built in advance. The method for recognition of the GIS ultrahigh frequency partial discharge signal can carry out rapid convergence to obtain the global optimum, and improves efficiency and accuracy of fault recognition of GIS partial discharge.

Description

technical field [0001] The invention relates to the technical field of electrical equipment insulation detection, in particular to a GIS UHF partial discharge signal identification method and a GIS UHF partial discharge signal identification system. Background technique [0002] In recent years, with the development of urban power grid construction, the number of GIS (Gas Insulated Substation, closed combined electrical appliances) substations has been increasing, and the probability of GIS equipment failure has also increased. As one of the most important equipment in substations, GIS , is widely used in the field of high-voltage power transmission because of its high reliability and small footprint. However, once a failure occurs, the maintenance time will be long, and the impact and loss will be great. Therefore, it is particularly important to be able to detect and judge the type of failure before GIS fails, and it will help us take timely measures to prevent problems be...

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
IPC IPC(8): G01R31/12G06N3/08
Inventor 罗颖婷王红斌朱文俊豆朋李峰高雅黄勇倪全贵杨三华
Owner ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap