模糊数学在设备故障诊断领域的应用及常用方法  

The application and methods of fuzzy mathematics in the field of diagnosis about equipment fault

作　　者：王书纯[1] 杨艺华[1] 

机构地区：[1]中国地质大学信息实验中心,湖北武汉430074

出　　处：《湖北师范学院学报（自然科学版）》2005年第3期76-78,共3页Journal of Hubei Normal University(Natural Science)

摘　　要：介绍模糊数学在设备故障诊断领域的应用,指出模糊诊断方法可归结为模糊模式识别和模糊聚类两大类,其中模糊模式识别的方法有最大隶属原则方法、最小距离原则方法和择近原则方法等三种。本文指出了模糊模式识别和模糊聚类的不同点。The article introduces the application of fuzzy mathematics in the field of diagnosis about equipment fault, and points out that there are two types such as fuzzy mode identification and fuzzy cluster in fuzzy diagnosis, there are the biggest subordination principle ,the shortest distance principle and the apt principle in fuzzy mode identification . The article also points out the difference between fuzzy mode identification and fuzzy cluster.

关 键 词：模糊数学 故障诊断 诊断方法 

分 类 号：O159[理学—数学]