关键词: 信息熵, 测试排序, 故障诊断策略, 测试费用, 诊断树

Abstract: 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.

Key words: information entropy, test sequencing, fault diagnosis strategy, test cost, diagnosis tree