Failure Importance Analysis Models Based on Bayesian Network

摘要：

It is very important for the complex equipment to analyze the importance distribution of failure cause,which can make maintenance experts find the weak point of the equipment for diagnosis and improvement. This paper presents the failure importance analysis models based on the failure importance analysis Bayesian network (FIABN) to calculate the failure causes and modes importance. We adopt the immune algorithm to optimize the structure of FIABN. The numerical simulations show FIABN and the failure importance analysis methods are correct and effective.

关键词： Importance analysis Bayesian networks genetic algorithm failure cause and mode

作者: Shubin Si Fuhou Liu Zhiqiang Cai

作者单位: Department of Industrial Engineering,Shool of Mechatronics,Northwestern Polytechnical University,Xian,China.

会议类型: 国际会议

会议名称: 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management(IEEE第16届工业工程与工程管理国际学术会议)

会议地点: 北京

会议语种:英文

页码: 151-154

在线出版日期: 2009-10-21（万方平台首次上网日期，不代表论文的发表时间）