Title :
Monitoring nonlinear dynamical systems: a combined input-output and local approach
Author :
Zhang, Qinghua ; Basseville, Michèle ; Benveniste, Albert
Author_Institution :
Campus de Beaulieu, IRISA, Rennes, France
Abstract :
The problem of fault detection and isolation (FDI) for nonlinear dynamical systems in state-space form is addressed through a statistical approach. Standard detection tools turn out to be computationally costly, basically because they require an estimate of the full state. As an alternative, we propose a new approach based on both an input-output representation of the system and a local method to derive the detector. Simulation results on a microbial growth process are provided, which prove the relevance of the detection method
Keywords :
differential equations; fault diagnosis; identification; monitoring; nonlinear dynamical systems; polynomials; state-space methods; statistical analysis; combined input-output/local approach; fault detection and isolation; microbial growth process; nonlinear dynamical systems; state-space form; statistical approach; Books; Computational modeling; Detectors; Fault detection; Monitoring; Noise generators; Nonlinear dynamical systems; State estimation; System testing; Technological innovation;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.574393