An Initial Analysis of Fault Diagnosis to Electrical Apparatus Product on Bayesian

This paper is based on the fault diagnosis analysis about electrical product of Bayesian network. We represent fault diagnosis as decision problem under ambiguity and immaturity of information. Bayesian network classifiers (BNC) is thus established which is based on the fault diagnosis of, and representing the ambiguity of information as probability description. Pre-process analysis is made to fault information and the attribute technology in term of maximum information entropy approach is brought forth. We realize electrical product fault diagnosis under the ambiguity and immaturity of information; further research and put forward probability study new arithmetic of BNC. We apply Bayesian network classifiers technology to electrical system fault diagnosis, and make it play a better role