Title :
Local Information Preprocessing of Engineering Equipments Based on Rough Set
Author_Institution :
Sch. of Mech. & Electr. Eng., Xi´an Univ. of Archit. & Technol., Xi´an
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.
Keywords :
brakes; condition monitoring; fault diagnosis; information systems; mechanical engineering computing; rough set theory; brake system; concrete transport equipment; condition monitoring; engineering equipment; fault diagnosis; information reduction; local information preprocessing; rough set; Concrete; Condition monitoring; Data mining; Delay; Fault diagnosis; Information processing; Information systems; Management information systems; Out of order; Remote monitoring;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5072943
