AN INITIAL ANALYSIS OF FAULT DIAGNOSIS TO ELECTRICAL APPARATUS PRODUCT ON BAYESIAN

摘要：

This paper is based on the fault diagnosis analysis about electrical product of Bayesian network. Representing 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. Realize electrical product fault diagnosis under the ambiguity and immaturity of information; further research and put forward probability study new arithmetic of BNC. Apply Bayesian network classifiers technology to electrical system fault diagnosis, and make it play a better role.

关键词： Bayesian network classifiers Information entropy Fault diagnosis Electrical Apparatus

作者: JIAO-MIN LIU JING-HONG WANG BI LI CHANG-YONG ZHANG

作者单位: Institute of Electrical Apparatus, Hebei University of Technology, Tianjin 300130, China Institute of Electrical Apparatus, Hebei University of Technology, Tianjin 300130, China;Information Business School, Hebei Normal University, Shijiazhuang 050091, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 2474-2478

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）