现代电子技术2017，Vol.40Issue(1)：119-124,6.DOI:10.16652/j.issn.1004-373x.2017.01.033
基于分布式贝叶斯网络的多故障诊断方法研究
Research on multi-fault diagnosis method based on distributed Bayesian network
摘要
Abstract
Since the complex system has the uncertain and multi?fault problems,and the traditional Bayesian network diag?nosis has poor real?time performance,a fault diagnosis approach based on distributed Bayesian network is proposed. The large?scale and complex system fault diagnosis model is abstracted as the Bayesian network model with the fault diagnosis method. The Bayesian network model is decomposed into several Bayesian network subsystems. The information propagation mechanism is used to accomplish the partial inference of the multiply subsystems and compact information propagation of the overlap subdo?main among subsystems,and realize the inference and diagnosis of the distributed Bayesian network fault. The experimental re?sults demonstrate that the fault diagnosis method can accomplish the single fault and multi?fault diagnosis inference and diagno?sis task in the complex and uncertain system. In comparison with the traditional Bayesian network fault diagnosis method,the method has the prominent advantage of fast inference speed and extensive application prospects.关键词
贝叶斯网络/分布式推理/多故障诊断/复杂系统Key words
Bayesian network/distributed inference/multi-fault diagnosis/complex system分类
信息技术与安全科学引用本文复制引用
郭文强,彭程,张宝嵘,夏令君,佘金龙..基于分布式贝叶斯网络的多故障诊断方法研究[J].现代电子技术,2017,40(1):119-124,6.基金项目
陕西省教育厅科研计划资助项目（2013JK1114）；陕西科技大学博士科研启动基金项目 （）
