| Knowledge Representation for Rotative Machine Fault Diagnosis Based on Semantic Net |
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| 作者姓名： | LI Tai fu HUANG Mao lin XIE Zhi jiang |
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| 摘 要： | 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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| 关 键 词： | rotary machinery semantic net knowledge representation fault diagnosis expert system |
| 修稿时间： | 9/1/2001 12:00:00 AM |
Knowledge Representation for Rotative Machine Fault Diagnosis Based on Semantic Net |
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| LI Tai fu,HUANG Mao lin,XIE Zhi jiang.Knowledge Representation for Rotative Machine Fault Diagnosis Based on Semantic Net[J].Storage & Process,2001(6):18-20. |
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| Authors: | LI Tai fu HUANG Mao lin XIE Zhi jiang |
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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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| Keywords: | rotary machinery semantic net knowledge representation fault diagnosis expert system |
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