摘要
提出了一种基于熵和粗集的故障诊断方法。利用信息熵判断系统运行状态,确定系统故障的严重程度,并依据故障程度采集相应的数据,在此基础上,运用一种改进的区分矩阵方法进行相对约简并对不一致信息进行处理,最终形成一种综合策略的诊断规则。
An approach to fault diagnosis in system is presented based on information entropy and rough sets theory. New entropy to evaluate system status is used, which can confirm fault levels and collect data. The decision rules are extracted by relative reduction of an improved discernibility matrix, and the conflicting information is done. On the base of this, the integrative diagnosis rules are extracted.
出处
《信息工程大学学报》
2005年第2期75-77,共3页
Journal of Information Engineering University
关键词
故障诊断
粗糙集
信息熵
约简
fault diagnosis
rough set
entropy
reduction
