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

Transformer Partial Discharge Fault Diagnosis Method and Online Monitoring Device

A partial discharge and fault diagnosis technology, applied in the field of transformers, can solve problems such as the inability to determine the type of transformer partial discharge faults

Active Publication Date: 2021-10-22
STATE GRID HEBEI ELECTRIC POWER RES INST +2
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a transformer partial discharge fault diagnosis method and an online monitoring device to solve the problem in the prior art that the fault type of transformer partial discharge cannot be determined

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 Partial Discharge Fault Diagnosis Method and Online Monitoring Device
  • Transformer Partial Discharge Fault Diagnosis Method and Online Monitoring Device
  • Transformer Partial Discharge Fault Diagnosis Method and Online Monitoring Device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053]In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0054] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0055] like figure 1 As shown, it is a flow chart of the transformer partial discharge fault diagnosis method provided by the embodiment of the present invention, and the transformer partial discharge fault diagnosis method includes:

[0056] Step S101, collect the par...

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 invention is applicable to the technical field of transformers, and provides a method for diagnosing transformer partial discharge faults and an on-line monitoring device, which uses nonlinear mapping to compress characteristic quantities and a Merlin transform algorithm to extract characteristic quantities from the partial discharge signal, and the composition represents the The eigenvectors of the partial discharge signal features are mapped on the feature plane, and the extracted feature quantities are clustered using the unsupervised fuzzy c-means clustering algorithm to form several samples, and each clustered sample is analyzed Phase and waveform features, extract relevant features, use mathematical morphology particle analysis method to compare each sample to establish a sample fingerprint library, and use neural network algorithm to identify the type and pattern of partial discharge signals. In this way, the fault type of transformer partial discharge is determined.

Description

technical field [0001] The invention belongs to the technical field of transformers, in particular to a transformer partial discharge fault diagnosis method and an online monitoring device. Background technique [0002] As the requirements for power grid safety and stability are getting higher and higher, the allowable time for transformer outage maintenance is getting shorter and shorter. In this case, the rapid development of transformer live monitoring and online monitoring technology provides technical support for the safe and stable operation of transformers. [0003] In recent years, transformer partial discharge online monitoring technology has been widely used. At present, the online monitoring technology is far from mature. Although the amount of data collected by the existing online monitoring equipment is sufficient, a large amount of data is submerged in the noise, which makes it impossible to detect partial discharge. type identification. In addition, if there ...

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
CPCG01R31/1227
Inventor 刘宏亮张鹏高树国范辉孟令明梁博渊
Owner STATE GRID HEBEI ELECTRIC POWER RES INST
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com