DocumentCode :
2275699
Title :
Fault detection algorithm of inverter based on singular value decomposition nonlinear filtering
Author :
Peng, Chen ; Ying, Zhao ; Enzeng, Dong ; Xin, Li
Author_Institution :
Sch. of Electr. & Autom. of Organ., Tianjin Univ. of Technol., Tianjin, China
Volume :
2
fYear :
2011
fDate :
10-12 June 2011
Firstpage :
85
Lastpage :
89
Abstract :
Power electronic devices, power semiconductor devices and control circuits most were vulnerable to failure. In this paper, took the inverter as example, discussed its fault type, and designed a new fault detection algorithm based on singular value decomposition (SVD) nonlinear filtering. Simulation result shown that this algorithm could detect fault conveniently, and using extended Kalman Filter (EKF) based on singular value decomposition (SVD), stability of filter could be evaluated, at the same time, calculated amount was not increase, and filter precision was not decrease. This algorithm could meet the need of fault detection.
Keywords :
Kalman filters; fault diagnosis; invertors; nonlinear filters; power engineering computing; power semiconductor devices; singular value decomposition; SVD; control circuits; extended Kalman Filter; fault detection algorithm; inverter; nonlinear filtering; power electronic devices; power semiconductor devices; singular value decomposition; stability; Circuit faults; Covariance matrix; Fault detection; Fault diagnosis; Inverters; Singular value decomposition; extended Kalman Filter; fault detection; singular value decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
Type :
conf
DOI :
10.1109/CSAE.2011.5952428
Filename :
5952428
Link To Document :
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