DocumentCode :
570277
Title :
Condition assessment of substation equipment based on intelligence information fusion
Author :
Feng, Qingdong ; Liang, YongLiang
fYear :
2012
fDate :
21-24 May 2012
Firstpage :
1
Lastpage :
5
Abstract :
Study on method of condition assessment of substation equipment is the key subject in condition maintenance. This article introduced the application of artificial intelligence methods in the substation equipment condition assessment and different artificial intelligence methods, such as artificial neural network (ANN), fuzzy theory and expert system, are introduced respectively, and their advantages and disadvantages are analysed in detail; in accordance with feature of multi-sensor information in online monitoring, the application of information fusion in condition assessment gained an important introduction; The assessment method based on intelligence information fusion is recommended to solve the deficiency of single assessment method.
Keywords :
artificial intelligence; condition monitoring; expert systems; fuzzy set theory; maintenance engineering; neural nets; power engineering computing; sensor fusion; substations; artificial intelligence; artificial neural network; condition assessment; condition maintenance; expert system; fuzzy theory; intelligence information fusion; multisensor information; online monitoring; substation equipment; Data mining; Fault diagnosis; Feature extraction; Lead; Maintenance engineering; Monitoring; Oil insulation; artificial intelligence; artificial neural network; condition assessment; expert system; fuzzy theory; information fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location :
Tianjin
Print_ISBN :
978-1-4673-1221-9
Type :
conf
DOI :
10.1109/ISGT-Asia.2012.6303093
Filename :
6303093
Link To Document :
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