A Decision Model for Transformer Fault Diagnosis and Maintenance Based on Rough Set and Fuzzy Set and Bayesian Optimal Classifier

Hongsheng Su
2006 2006 Chinese Control Conference  
In accordance with intelligent complementary strategies, a new transformer fault diagnosis method is proposed based on rough set (RS) and fuzzy set (FS) and Bayesian optimal classifier in this paper. Through RS reduction, the diagnostic decision table is greatly simplified and fault symptoms information is compressed, dramatically, and the minimal decision rules can be obtained. In the light of the minimal decision rules, the complexity of Bayesian reasoning and difficulties of fault symptom
more » ... uisition are dramatically decreased. Moreover, probability reasoning may be realized applying Bayesian optimal classifier, it can be used to describe the characteristics of fault information and investigate the fault reasons of transformer. In the end, a practical application in transformer fault diagnosis indicates that the proposed method is very effective and intelligent and ubiquitous.
doi:10.1109/chicc.2006.280636 fatcat:tdr3f7g4qbdhvbfap2ttuhrszu