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An Intelligent Fault Diagnosis Model of Power Equipment(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2014年03期
Page:
7-
Research Field:
Publishing date:

Info

Title:
An Intelligent Fault Diagnosis Model of Power Equipment
Author(s):
Ma Gang1Wu Kehe2Li Yi2
(1.School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210042,China)(2.School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)
Keywords:
diagnosis of power equipmentcase-based reasoningSVM regression analysiskernel functioncondition fingerprint
PACS:
TM407
DOI:
-
Abstract:
With the rapid development of power system technology and increasing expansion of the grid size,the number of electrical equipment surges and the degree of intelligentialization becomes higher and higher; meanwhile,the consumers pay more and more attention to the reliability of power utilization,and thus it is imperative that equipment running data-based fault diagnosis is made on equipment with the help of intelligent technology.An intelligent fault diagnosis model of transmission and transformation equipment based on CRB and SVM is proposed in this paper.The model tries to find the potential rules of equipment fault by digging the existing data.The intelligent model sets up condition case base of equipment based on online recording data,history data,basic test data and environmental data.SVM regression analysis is used to mine the case base so that the equipment condition fingerprint is established.The running data of equipment can be diagnosed by the condition fingerprint to determine whether there is a fault.At last,we diagnose a set of practical data with the intelligent model and three-ratio method.The result shows that intelligent model is more effective and accurate.

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Last Update: 2014-09-30