获取知识的一种新方法——粗糙集(Rough Set)  

Rough Set" as a New Method of Machine Self-learning

作　　者：董彩凤[1] 王天宇[1] 

机构地区：[1]哈尔滨工业大学航天学院,黑龙江哈尔滨150001

出　　处：《热能动力工程》2002年第4期402-404,共3页Journal of Engineering for Thermal Energy and Power

基　　金：哈尔滨工业大学跨学科交叉性基金资助项目 (HITMD2 0 0 1-0 6 )

摘　　要：旋转机械故障诊断的一个困难问题是诊断规则的获取。提出获取知识的一种方法———粗糙集 (RS) ,RS能自动地从旋转机械的大量信息中有效地获取诊断知识 ,并能减少误诊与漏诊现象。A difficult issue encountered during the diagnosis of rotating machine failures consists in the acquisition of diagnostic rules. The author has come up with a method called 'rough set' (or RS for short) to serve as a new method of machine self-learning. The RS can automatically acquire diagnosis knowledge from a huge quantity of rotating machine data, decrease erroneous diagnoses and phenomena of missing diagnosis. Also described are RS working principles, its operating method and practical usage examples.

关 键 词：故障诊断 旋转机械 粗糙集 故障诊断 

分 类 号：TH133[机械工程—机械制造及自动化] O211[理学—概率论与数理统计]