中文摘要：

针对传统专家系统解决机械故障诊断问题时存在的不足,将基于案例推理（CBR）方法引入到故障诊断中,提出了一种CBR故障诊断模型。在案例检索中,采用了一种改进的灰色关联模型来计算案例之间的相似度。该模型适用于对故障症状和故障原因之间关系不十分明确的场合,可以比较准确地检索到相似案例,提高案例检索速度。最后应用文中提出的方法建立了一个轴承故障诊断专家系统,此系统对生产和实践具有重要的指导价值。

英文摘要：

In order to improve the traditional mechanical fault diagnosis expert system,case-based reasoning（CBR） was introduced for fault diagnosis and a CBR fault diagnosis model was established.In the process of case retrieval,an improved grey correlation model was used to calculate similarity between cases.This model can accurately retrieve similar cases and improve the speed of case retrieval.Finally,a bearing fault diagnosis expert system was established,which has important guiding value in production and practice.