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