基于粗糙集与数据库技术的故障诊断方法研究  

Research on Fault Diagnosis Method Based on Rough Set and Database Techniques

作　　者：张磊[1] 宋义刚[1] 李三群[1] 梁四洋[1] 

机构地区：[1]军械工程学院科研部,河北石家庄050003

出　　处：《计算机与现代化》2009年第8期84-85,89,共3页Computer and Modernization

基　　金：国家"863"计划基金资助项目(2007AA012454)

摘　　要：提出一种基于粗糙集的抽取和过滤规则的方法,研究与讨论了数据库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。A new method of extracting and filtering roles based on rough set is proposed, and the application of database mining techniques in knowledge auto-acquisition and simplified design of reasoning machine is researched and discussed. The results in- dicate that the algorithm of reasoning is simple but it can satisfy the need of real time fault diagnosis.

关 键 词：粗糙集 数据库 推理机 故障诊断 

分 类 号：TP311.131[自动化与计算机技术—计算机软件与理论]