Knowledge Representation for Rotative Machine Fault Diagnosis Based on Semantic Net
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TH165.3 TP182

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    Abstract:

    Aiming at knowledge representation problem of expert system for rotary machinery fault diagnosis, semantic net knowledge representation is discussed. Semantic net to represent expert knowledge of rotary machinery fault diagnosis is explored. Its realizing method is afforded in computer language, in addition, demostrating model is also developed in Visual C++. The result shows good validity of the knowledge representation.

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李太福 黄茂林 等.基于语义网络的旋转机械故障诊断知识表示[J].重庆大学学报,2001,24(6):18~20

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  • Received:
  • Revised:September 01,2001
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