会议专题

Complex System Intelligence Diagnosis Based on Bayesian Network

Bayesian network is using in fault diagnosis on a certain type of self-propelled gun. The architecture of the intelligence diagnosis system is given. Three main technologies are studied in this paper: they are knowledge management , reasoning technology and diagnosis arithmetic. Firstly the source of knowledge acquisition includes domain experts experience , FMECA results and FTA results. Secondly this paper brought forward the method of constructing CME (Cause-Mode-Effect , coming from FMECA) diagnosis model for a diagnosis object level by level. Thirdly , this paper proposed to combine Rule based diagnosis with Bayesian Networks (BN) based diagnosis. Finally an example showed that the diagnosis method met requirements well.

YE Fei ZHAI Yi-hua ZHANG Guo-guang

Department of Equipment Command & Management, Mechanics Engineering College 050003, Shijiazhuang, China

国际会议

第七届国际测试技术研讨会

北京

英文

2007-08-05(万方平台首次上网日期,不代表论文的发表时间)