故障特征参数有效性的模糊信息熵判据

FUZZY INFORMATION ENTROPY CRITERION FOR FAULT FEATURES EVALUATION

  • 摘要: 本文研究了故障特征参数的评价问题.根据模糊信息熵的概念,分别定义了与故障“漏报”和“误报”错误直接相关的正常疑义度和故障疑义度,并据此提出了故障特征参数的有效性评阶指标.文末通过仿真实验,证明了算法的有效性.

     

    Abstract: This paper deals with evaluation of fault feature parameters. By using the concept of Fuzzyinformation entropy, normal doubt measure and fault doubt measure are defined separately, which are concerned with the mistakes of the fault miss and false alarm. A criterion of fault feature evaluation is then proposed using the two measures. Finally. the effectiveness of this algorithm is demonstrated by an example.

     

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