Title :
The analysis of power fault mode based on discrepancy relation
Author :
Pei, Yu ; Pan, Wei ; Wu, Lifeng ; Guan, Yong ; Jin, Shengzhen
Author_Institution :
Beijing Eng. Res. Center of High Reliable Embedded Syst., Capital Normal Univ., Beijing, China
Abstract :
The power supply is a typical equipment. It is used widely. At the same time, it is difficult to solve its fault diagnosis problem by using general or traditional fault diagnosis theory and method, because of its uncertainty, fuzzy and other questions. Rough Set (RS) represents the uncertainly technology which provides an effective approach to resolve these issues, receives more academic attention nowadays. During the process of fault diagnosis, people always face incomplete information systems due to data measurement, obtaining restrictions and other reasons. However, the classical RS theory is based on the complete system. So we proposed a new method about data filling on the basis of discrepancy relation. Experiment shows that this method can effectively increase the precision and decrease the conflict rate.
Keywords :
fault diagnosis; power supplies to apparatus; rough set theory; data filling; data measurement; discrepancy relation; fault diagnosis problem; fault diagnosis theory; incomplete information systems; power fault mode; power supply; rough set; uncertainly technology; Data recruitment; Discrepancy relation; Incomplete information; RS;
Conference_Titel :
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1909-7
Electronic_ISBN :
2166-563X
DOI :
10.1109/PHM.2012.6228950