DocumentCode :
3408564
Title :
The Fault Diagnosis Model of Transformer Which Based on the Technology of Information Fusion
Author :
Yishan, Gong ; Bo, Zhang
Author_Institution :
Foreign Language Coll., Shenyang Univ. of Technol., Shenyang, China
Volume :
1
fYear :
2009
fDate :
12-14 Aug. 2009
Firstpage :
184
Lastpage :
187
Abstract :
In order to satisfy the fault diagnosis of transformer, here, a fully bran-new diagnosis model of transformer was being put forward, which is based on the technology of information amalgamation, and have got an ideal result through applying it to the fault diagnosis of transformers. In order to get this model, here, through using the measures of DGA method, blur theory, Bayes network, and weighting amalgamation theory, and so on. Which have achieved a perfect goal, definitely, that is, not only can make us diagnose the fault of transformers from the transformerpsilas different parts, but also enhance the precision of fault diagnosis result, decrease the not precision maximumly.
Keywords :
Bayes methods; fault diagnosis; power engineering computing; power transformers; sensor fusion; Bayes network; blur theory; fault diagnosis model; information fusion technology; transformer; weighting amalgamation theory; Circuit faults; Educational institutions; Fault diagnosis; Intelligent sensors; Iron; Oil insulation; Power transformer insulation; Power transformers; Sensor phenomena and characterization; Sensor systems; bayes network; dga; iec; information fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
Type :
conf
DOI :
10.1109/HIS.2009.44
Filename :
5254299
Link To Document :
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