Title :
Application of variable precision rough set in bearing fault diagnosis
Author :
Yueling, Zhao ; Yingli, Wang ; Yanqiu, Wang ; Lifeng, Mei
Author_Institution :
Coll. of Inf. Sci. & Eng., Liaoning Univ. of Technol., Jinzhou
Abstract :
Rough set theory for the lack of the adaptability of noise fault data, the fault diagnosis method based on variable precision rough set theory (VPRS) is proposed. The threshold value of discernibility set is selected. The sensitive of rough set theory to noise data is advoided. The accuracy of fault rules and accuracy rate of fault diagnosis are improved. The availability of this method is proved by a fault diagnosis example of the bearings.
Keywords :
fault diagnosis; machine bearings; rough set theory; discernibility set; fault diagnosis method; machine bearing; noise fault data; variable precision rough set theory; Data engineering; Educational institutions; Fault diagnosis; Information science; Petrochemicals; Set theory; Fault Diagnosis; Quality of Classification; Threshold Value; VPRS;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597385
