摘要
基于专家系统的故障诊断方法与数据库技术都得到了长足的发展和广泛的应用,将二者更好集成已成为当前的一个研究热点。提出一种基于粗集和集对分析的抽取和过滤规则的方法,研究与讨论了数据挖掘技术在实现知识自动获取和简化推理机设计方面的应用,结果表明推理机算法简单,且可以满足复杂的实时故障诊断的需要。
The integration of the fault diagnosis based on expert system and the data mining techniques which have gotten quiet great progress and broad application is a research hotspot. A new method of extracting and filtering rules based on rough set and set pair analysis is proposed, and the application of data mining techniques in knowledge auto-acquisition and simplified design of reasoning machine is researched and discussed. The results indicate that the algorithm of reasoning is simple but it can satisfy the need of real time fault diagnosis.
出处
《科学技术与工程》
2008年第11期2825-2828,共4页
Science Technology and Engineering
基金
国家863项目资助
关键词
数据挖掘
粗糙集
推理机
专家系统
故障诊断
data mining techniques, rough set, reasoning machine, expect system, fault diagnosis
