Local Information Preprocessing of Engineering Equipments Based on Rough Set

Abstract

Aiming at some foundational remote diagnosis bottleneck problem due to abundant out-of-order data, such as fault information transmission barrage, delay, in view of condition monitoring, fault prognostication and diagnosis, the thought and framework of local information preprocessing based on rough set are presented. After given out some correlative knowledge about rough set, information reduction algorithms of condition monitoring and fault diagnosis are described respectively, the validity of above two algorithms is also validated combining with brake system of concrete transport equipment. In conclusion, more application of rough set for fault diagnosis is discussed.