DISTURBED FAULT DETECTION AND ISOLATION PROBLEMS FOR LINEAR STATE MODELS IN A NOISY ENVIRONMENT
Gianfranco Parlangeli* Maria Elena Valcher**
* Dipartimento di Ingegneria dellInnovazione, Università di Lecce - strada per Monteroni, 73100 Lecce, Italy
** Dipartimento di Elettronica ed Informatica, Università di Padova - via Gradenigo 6A, 35131 Padova, Italy
In this paper we afford the fault detection and isolation problems in the context of linear discrete-time state-space models whose state equation is affected both by faults and by disturbances. Model as well as measurement errors, described as zero-mean white gaussian noises, are also assumed to additively act both on the state and on the output equations. Upon introducing several deterministic and stochastic goals, which constitute the mathematical formalization of very natural and practical requirements, necessary and sufficient conditions for the existence of an observer-based fault detector and isolator, which achieves the aforementioned goals, are finally derived.
Keywords: Observer-based fault detector and isolator, residual, estimation error, Moore-Penrose inverse, error covariance matrix
Session slot T-Tu-M12: Uncertainty & Robustness in FDI/Area code 7e : Fault Detection, Supervision and Safety of Technical Processes

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