Research of Failure Prediction Bayesian Network Model

摘要：

A failure prediction Bayesian Networks model (FPBN) is brought forward by expanding the traditional Bayesian network (BN) methodology and tailored to deal with failure prediction problems. In the FPBN model,the classification of network nodes: failure detection nodes,failure cause nodes and failure mode nodes,and the algorithm to initialize orientations of network edges are illustrated. Moreover,with the conditional probability distributions,the implementation of the FPBN model in failure mode prediction,failure cause diagnosis and failure detection efficiency analysis are also described in details. At last,the simulation case study of a helicopter convertor is carried out and the comparison results show that,the FPBN model could perform effectively under uncertainty.

关键词： Failure prediction Bayesian network inference posterior probability

作者: Zhiqiang Cai Shudong Sun Shubin Si Ning Wang

作者单位: Department of Industrial Engineering,Northwestern Polytechnical University,P.O.Box 554 Xian 710072,P.R.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: 2021-2025

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）