基于案例推理的机械故障诊断方法探讨

CBR-based Method for Fault Diagnosis of Machinery

介绍了基于案例推理的故障诊断方法的机理 ,从案例的表示与存储、检索和匹配、修改与维护等 3个方面对基于案例推理的机械故障诊断过程进行了分析。表明了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 ,使用大量的范例特征集合 ,能够不断积累问题求解的经验 ,避免知识获取的困难 ,缩短了问题求解途径 ,提高了推理效率 ,节省了开发时间 。

The mechanism of the CBR-based fault diagnosis method is introduced,and the processing of CBR-based fault diagnosis is mainly analyzed from three aspects: processing model of CBR diagnosis, expression and storage, retrieving and matching, modification and maintenance of cases. It is shown that the CBR method is flexibly and simply implemented, with strong self-studying ability. Using vast amount of case character set, it can accumulate experience of solving problems, avoid the difficulty of gaining knowledge, shorten the course of solving problems, improve the efficiency of reasoning and save the time of exploitation. It has a good prospect for application.