基于故障特征信息熵的故障诊断策略优化方法

摘要

Concerning the sequential fault diagnosis strategy problem of complicated electrical equipment, to realize fast fault detection and isolation, an algorithm for designing fault diagnosis strategy tree based on the failure feature information entropy was presented. The algorithm, considering test cost and fault probabilities, can select test points and build optimal fault diagnosis strategy tree based on the value of failure feature information entropy. An example shows that the algorithm is feasible, and can accomplish fault detection and isolation by using lower testing costs and fewer testing steps.%针对复杂电子设备的顺序故障诊断策略问题,为实现快速的故障检测与隔离,提出了一种基于故障特征信息熵的故障诊断策略树生成算法.该算法综合考虑测试费用和故障概率因素,依据故障特征信息熵的大小依次选择测试点来生成优化的故障诊断策略树.实例表明该算法可行,能以较低的测试费用和较少的测试步骤实现复杂电子设备的故障检测和隔离.