Title :
Innovation generation for bilinear systems: application to robust fault detection
Author_Institution :
Lab. d´´Autom., Univ. Libre de Bruxelles, Belgium
Abstract :
An algorithm to design an innovation generator for bilinear systems with unknown inputs is presented. Such a generator is a filter which, in the absence of faults, generates a zero-mean white noise sequence, called innovation, from the known inputs and the outputs of the monitored system. The innovation sequence can then be processed by statistical tests to decide whether a fault has occurred or not. The choice of the test depends on the nature of the faults (additive or nonadditive faults)
Keywords :
bilinear systems; discrete time systems; fault diagnosis; filtering theory; observers; singular value decomposition; statistical analysis; additive faults; bilinear systems; innovation generation; innovation sequence; monitored system; nonadditive faults; robust fault detection; statistical tests; unknown inputs; zero-mean white noise sequence; Covariance matrix; Fault detection; Filters; Linear systems; Monitoring; Nonlinear systems; Robustness; System testing; Technological innovation; White noise;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.707275