Title :
Fault detection for systems with missing measurements
Author :
Qiao Changming ; Sun Shuli
Author_Institution :
Inst. of Electron. Eng., Heilongjiang Univ., Harbin, China
Abstract :
This paper is concerned with fault detection problem with missing measurements in data transmission by networks. When there are missing measurements, the method of weighted square sum of residuals (WSSR) for fault detection based on standard Kalman filter may be invalid. So the method of WSSR based on the filter with missing measurements is proposed. A simulation example shows that the method proposed is valid for the fault detection.
Keywords :
Kalman filters; fault diagnosis; filtering theory; WSSR; data transmission; fault detection problem; missing measurements; optimal linear filter; standard Kalman filter; steady-state filtering algorithm; weighted square sum of residual method; Fault detection; Fault diagnosis; Filtering algorithms; Filtering theory; Maximum likelihood detection; Nonlinear filters; Technological innovation; Data Dropouts; Fault Detection; Optimal Linear filter; WSSR;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561079
