Passive robust fault detection using interval observers: Application to the DAMADICS benchmark problem

in this paper, the "passive approach" to robust fault detection and isolation (FDI) is presented in the context of observer methodology, when a model with parameters bounded in intervals ("interval model") is used, deriving the interval version corresponding to the classical use of observers. The passive approach is based on allowing the effect of the uncertainties to propagate into the residuals and then the principle of adaptive thresholds is used to achieve robustness. Finally, the approach proposed is applied to detect some of the faults proposed in an industrial actuator used as an FDI benchmark in the European RTN DAMADICS. (c) 2005 Elsevier Ltd. All rights reserved.