Title :
DCA based multi-level small fault diagnosis
Author :
Zhou, Funa ; Tang, Tianhao ; Wen, Chenglin
Author_Institution :
Dept. of Electr. Autom., Shanghai Maritime Univ., Shanghai
Abstract :
To diagnose multiple faults of multivariate system, DCA (designated component analysis) is introduced to avoid the pattern compounding problem of PCA (principal component analysis). In this paper and a DCA based multi-level small fault diagnosis method is developed for multiple faults diagnosis when small faults are involved in the system. Simulation for observation data involved 4 faults shows its efficiency.
Keywords :
fault diagnosis; power system faults; principal component analysis; designated component analysis; multilevel small fault diagnosis; multivariate system; principal component analysis; Covariance matrix; Design automation; Fault detection; Fault diagnosis; History; Information analysis; Matrix decomposition; Monitoring; Pattern analysis; Principal component analysis; DCA; PCA; fault diagnosis; small fault;
Conference_Titel :
Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-2250-0
Electronic_ISBN :
978-1-4244-2251-7
DOI :
10.1109/ICCT.2008.4716084
