摘要
在研究故障树分析(FTA)和双向联想记忆(BAM)神经网络在故障诊断中应用的基础上,提出了一种融合FTA和BAM的故障诊断方法。故障树存贮了系统关于顶事件发生的全部知识,利用FTA得到系统所有的故障模式,进而归纳出BAM的学习样本,即故障树中故障现象(监测点状态组合)和底事件发生与否之间的对应。BAM通过联想记忆矩阵并行联想,得到诊断结果,扩展综合故障诊断能力。用上述方法进行仿真分析,结果表明该方法用于解决此类问题是有效的。
Based on the study about the application of Fault Tree Analysis and Bidirectiongal Associative Memory network in fault diagnosis,a method of fault diagnosis based on the fuse of FTA and BAM is proposed.In a system,all the knowledge on the happening of top events is stored in Fault tree,so all of the fault modes are obtained by using FTA,and then the learning sample of BAM are summarized which are the corresponding relations between the fault phenomena（the states of the assembled monitoring points）and the happening or not of the bottom events in fault tree.The results of diagnosis are associated parallel by the associative memory matrix,thus expanding the general ability of fault diagnosis.A simulation analysis with the method mentioned above is performed,and results showed that the approach is valid to the fault diagnosis of systems.
出处
《科学技术与工程》
2010年第13期3101-3105,共5页
Science Technology and Engineering
关键词
故障树
BAM
神经网络
故障诊断
fault tree analysis bidirectional associative memory neural network fault diagnosis
