| CBR在分析机械故障诊断方面的应用 |
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| 引用本文： | 李文鸿,孙会霞.CBR在分析机械故障诊断方面的应用[J].重庆工学院学报,2009,23(6):116-119,131. |
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| 作者姓名： | 李文鸿 孙会霞 |
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| 作者单位： | 河南工业大学理学院; |
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| 基金项目： | 河南省教育科学“十一五”规划2007年课题(2007—JKGHAZ—019);;河南工业大学高教研究项目 |
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| 摘 要： | 将人工智能领域中的新分支──CBR技术引入到机械故障诊断中,介绍了CBR故障诊断方法的机理,从案例的表示与存储、案例的检索和匹配、案例的修改与维护等3个方面对机械故障诊断过程进行了分析.结果表明,基于案例推理的故障诊断方法具有实现方式灵活、简便、自学习能力强等特点,它使用大量的范例特征集合,能够不断积累问题求解的经验,缩短问题求解途径,提高推理效率,具有很好的应用前景.
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| 关 键 词： | CBR 故障诊断 人工智能 |
Application of CBR in Fault Diagnosis Expert System for Machinery |
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| LI Wen-hong,SUN Hui-xia.Application of CBR in Fault Diagnosis Expert System for Machinery[J].Journal of Chongqing Institute of Technology,2009,23(6):116-119,131. |
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| Authors: | LI Wen-hong SUN Hui-xia |
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| Affiliation: | College of Science;Henan University of Technology;Zhengzhou 450052;China |
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| Abstract: | The CBR Technology,a new branch of artificial intelligence,is introduced to the machinery's fault-diagnosis system,and the mechanism of fault diagnosis expert system based on CBR is introduced,process of the CBR fault diagnosis is analyzed from three aspects: expression and memory of the case,retrieving and matching of the case,modification and maintenance of the case.It is shown that the CBR method is implemented flexibly and simply with strong self-learning ability.Using a large amount of case reasoning s... |
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| Keywords: | CBR fault diagnosis artificial intelligent |
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