CBR在分析机械故障诊断方面的应用  

Application of CBR in Fault Diagnosis Expert System for Machinery

作　　者：李文鸿[1] 孙会霞[1] 

机构地区：[1]河南工业大学理学院,郑州450052

出　　处：《重庆工学院学报（自然科学版）》2009年第6期116-119,131,共5页Journal of Chongqing Institute of Technology

基　　金：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

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.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 set, it can accumulate the experience of problem solving, avoid the difficulty of knowledge acquisition, shorten the course of solving problems, and save the time of development. Above all, it has a very good application prospect.

关 键 词：CBR 故障诊断 人工智能 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]