Analysis of Information Flow Based on Entropy of Fault Diagnosis
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TP277

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    Abstract:

    Under the pointview of epistemology and generalized information theory, fault diagnosis can be regarded as the state identification process by dint of various cognitive tools. Therefore, information Entropy can be employed to explain the transfer of information during identifying the faults. The mathematical deduction of information Entropy is given and the idea of Multi-Symtom Domains Comprehensive Feature Knowledge to solve fault diagnosis problems caused by insufficient knowledge and lower cognitiving ability for complex knowledge system is presented.

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马笑潇 黄席樾 等.基于信息熵的诊断过程认知信息流分析[J].重庆大学学报,2002,25(5):25~28

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  • Revised:January 10,2002
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