Title :
Research on Method for Distinguishing Sensor Fault and System Fault with PCA
Author :
Xu Tao ; Feng Zhigang
Author_Institution :
Dept. of Autom., Shenyang Inst. of Aeronaut. Eng., Shenyang, China
Abstract :
General fault diagnosis method just studied sensor fault or system fault. Indeed, they may occur at the same time. Few literatures discussed how to distinguish sensor fault and system fault. Principle component analysis (PCA) is employed into fault diagnosis field to distinguish sensor fault and system fault in this paper. SPE is used to detect fault and SVI (Sensor Validating Index) is used to identify sensor fault or system component fault. Finally, a power providing system is studied to illustrate the performance of PCA to distinguish sensor fault and system fault. We make conclusion that PCA can distinguish them in some cases.
Keywords :
fault diagnosis; principal component analysis; sensors; PCA; fault diagnosis method; principle component analysis; sensor component fault; sensor validating index; system component fault; Aerospace engineering; Automation; Databases; Equations; Fault detection; Fault diagnosis; Mechatronics; Power system modeling; Principal component analysis; Sensor systems; PCA; SPE; SVI; Sensor Fault; System Fault;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.61