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
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）