变精度粗集模型在故障诊断专家系统中的应用

来源期刊：中南大学学报(自然科学版)2003年第4期

论文作者：张登峰 王执铨 李忠新

文章页码：451 - 454

关键词：故障诊断; VPRS模型;专家系统;信息熵

Key words：fault diagnosis; variable precision rough set model; expert system; information entropy

摘    要：将变精度粗集模型应用于故障诊断专家系统的知识获取和知识库的更新;利用变精度知识约简和正则条件熵进行故障特征选择,实现最简诊断知识的获取,以建立专家系统知识库;利用属性的相对依赖性实现知识库的维护与更新.滚动轴承故障诊断的实验结果表明,该方法有效地克服了传统规则式故障诊断专家系统的不足,实现了故障诊断功能.

Abstract: A variable precision rough set model approach was proposed for knowledge acquisition and update of fault diagnosis expert system. Knowledge reduction with variable accuracyβ, and regular conditional entropy were utilized for the knowledge acquisition to establish the knowledge base. The maintenance and update of the base were realized by the relative dependency. Simulation of rolling bearings fault diagnosis illustrates that the approach can compensate for the defects of rule-based ES and carry out the fault diagnosis effectively.