FUZZY INFORMATION ENTROPY CRITERION FOR FAULT FEATURES EVALUATION

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.