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Fault detection and isolation (FDI) is an integral part of monitoring the health of a plant. Any FDI technique is expected to be sensitive to faults, and insensitive to noise and modelling uncertainties. In this paper, we present a method based on input-estimation that is able to detect and isolate actuator faults. It naturally accounts for both process and measurement noise. By introducing multiple...
This paper presents a methodology for fault detection and monitoring of a class of hybrid process systems modeled by switched nonlinear systems with control actuator faults, uncertain continuous dynamics and uncertain mode transitions. A robust hybrid monitoring scheme that distinguishes reliably between faults, mode transitions and uncertainty is developed using tools from unknown input observer...
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