粗糙集与故障树理论的组合故障诊断  

Fault Diagnosis Based on Combination of Fault Tree and Rough Set Theory

作　　者：周炼[1] 

机构地区：[1]湖南工程学院应用技术学院,湘潭411101

出　　处：《湖南工程学院学报（自然科学版）》2009年第2期25-28,共4页Journal of Hunan Institute of Engineering(Natural Science Edition)

摘　　要：故障知识的获取以及故障树结构的确定一直是亟待解决的瓶颈问题.将粗糙集理论引入到故障树的故障诊断中,利用粗糙集对实例测得的故障信息进行知识约减和知识获取,寻找系统各个故障源信号之间的逻辑关系,并通过这些逻辑关系构造基于知识的故障树模型.故障实例分析表明,将粗糙集理论与故障树有机结合在一起进行故障诊断能有效地压缩故障特征空间,实现快速、准确的故障推理.How to get knowledge about system＇s faults and construct the structure of fault tree automatically are key problems. By applying rough set theory to fault diagnosis of fault tree, looking for logical relationship of the various fault source signal and constucting fault-tree model, acquiring and streamlining the fault knowledge is extracted from samples by rough set. The fault study analysis showed that the combination of fault tree and rough set theory for fault diagnosis can effectively compress fault feature space and achieve fast and accurate fault reasoning.

关 键 词：粗糙集 故障树 参数选优 故障诊断 

分 类 号：TP306.3[自动化与计算机技术—计算机系统结构]