Supercharge Your Innovation With Domain-Expert AI Agents!

A Partial Discharge Pattern Recognition Method Based on Spectral Features and Information Fusion

A technology of partial discharge and pattern recognition, applied in the direction of testing dielectric strength, etc., can solve the problems of low confidence in recognition results, inaccurate fault type recognition, etc., and achieve the effect of high confidence

Active Publication Date: 2022-08-02
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
View PDF18 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides a partial discharge pattern recognition method based on map features and information fusion to solve the problems of inaccurate fault type recognition and low confidence of recognition results in the partial discharge pattern recognition method in the prior art

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
  • A Partial Discharge Pattern Recognition Method Based on Spectral Features and Information Fusion
  • A Partial Discharge Pattern Recognition Method Based on Spectral Features and Information Fusion
  • A Partial Discharge Pattern Recognition Method Based on Spectral Features and Information Fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] Embodiments will be described in detail below, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following examples are not intended to represent all implementations consistent with this application. are merely exemplary of systems and methods consistent with some aspects of the present application as recited in the claims.

[0063] see figure 1 , which is a flow chart of a partial discharge pattern recognition method based on atlas features and information fusion.

[0064] A method for partial discharge pattern recognition based on atlas features and information fusion provided by this application includes the following steps:

[0065] Obtain the PRPD spectrum of partial discharge under different defect types under multiple power frequency cycles through th...

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 present application discloses a partial discharge pattern recognition method based on spectral features and information fusion. Discharge repetition rate feature matrix; obtain the slope aspect coding feature of the PRPD map; calculate the PRPD map integral feature; calculate the second-order differential feature of the PRPD map; construct the map feature parameterization matrix of each partial discharge fault defect; The quantization matrix is ​​input into the information fusion model based on variable weight, and the type recognition score results of each PD fault defect are calculated; establish the database of the correspondence between the range of the type recognition score and the discharge type; calculate the type recognition score of the partial discharge to be detected , input the score into the database, and output the corresponding partial discharge type judgment result.

Description

technical field [0001] The present application relates to the technical field of partial discharge identification and diagnosis of power equipment, and in particular, to a partial discharge pattern identification method based on atlas features and information fusion. Background technique [0002] Power equipment fault diagnosis is a key technology to ensure the safe and stable operation of power equipment. In the process of production, transportation and use of power equipment, insulation damage will inevitably be caused by insulation defects such as some conductor tips, scratches, suspension, and insulator surface contamination. This kind of insulation damage will cause partial discharge under the action of electric field and then develop into penetrating breakdown. Therefore, it is of great significance to evaluate the insulation state of power equipment by carrying out partial discharge detection. [0003] Based on the physical phenomena such as charge movement, electroma...

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 Patents(China)
IPC IPC(8): G01R31/12
CPCG01R31/12
Inventor 彭兆裕张云程志万颜冰马御棠钱国超岳刚邱鹏锋洪志湖文刚代维菊
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More