基于多故障模糊组的序贯多故障诊断方法

摘要

Because systems are becoming more and more complex, occurrence probability of multiple faults also increase. Because of the difficulty of multiple fault diagnosis, a novel sequential multiple fault diagnosis method based on single fault diagnostic tree is proposed. The method generates multiple fault ambiguity group using set partitioning, and achieves the test selection according to information entropy theory, and extends single fault diagnostic tree gradually. The goal is the multiple fault diagnostic tree. Finally, the method is applied to an example and multiple fault diagnostic tree is attained. The method is validated to be feasible.%由于系统复杂性的显著提高,多故障发生的概率也逐渐增大；针对多故障诊断的困难性,提出一种序贯多故障诊断算法；算法以构建的单故障诊断树为基础,利用集合划分思想和多故障模糊组,并根据信息熵理论实现测试选择,逐渐扩展单故障诊断树,最终得到多故障诊断树;最后的系统实例详细阐述了序贯多故障诊断算法的应用过程,生成了多故障诊断树,可以有效地实现对系统多故障的检测.