计算机应用 ›› 2005, Vol. 25 ›› Issue (02): 417-419.DOI: 10.3724/SP.J.1087.2005.0417

• 典型应用 • 上一篇    下一篇

基于信息熵的最少测试费用故障诊断策略

景小宁1,2,李全通2,陈云翔2,吕振中2   

  1. 1.西北工业大学自动控制系; 2.空军工程大学工程学院
  • 发布日期:2005-02-01 出版日期:2005-02-01

JING Xiao-ning1,2,LI Quan-tong2,CHEN Yun-xiang2,LV Zhen-zhong2   

  1. 1. Department of Automatic Control, Northwestern Polytechnical University, Xi’an Shannxi 710072,China; 2. Engineering College, Air Force Engineering University, Xi’an Shannxi 710038,China
  • Online:2005-02-01 Published:2005-02-01

摘要: 针对大系统顺序故障诊断中的测试排序问题,介绍一种基于信息熵的最少测试费用诊断树产生算法,这种算法比传统算法计算量少,又可有效利用测试结果、测试费用和故障概率等信息,该算法适合于在线和离线诊断维修过程。给出了算法的设计过程,并以实例说明算法的有效性。

关键词:  信息熵, 故障诊断策略, 测试费用, 诊断树, 测试排序

Abstract: Directed towards the test sequencing problem in the sequential fault diagnosis for large scale systems, an algorithm based on information entropy for design the fault diagnosis strategy with least test cost was presented. The algorithm requires less computation than the traditional methods, and uses the test results, test cost, and fault probabilities efficiently. This algorithm is suitable for on-line or off-line diagnosis and maintenance process. The design process of the algorithm was presented, and an example was used to illustrate the validity of the method.

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

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