Robust Fault Detection Using Linear Interval Observers

Abstract The problem of robustness in fault detection using observers has been treated basically using the active approach, based on decoupling the effects of the uncertainty from the effects of the faults on the residual. On the other hand, the passive approach is based on propagating the effect of the uncertainty to the residuals and then using adaptive thresholds. In this paper, the passive approach based on adaptive thresholds produced using a model with uncertain parameters bounded in intervals, also known as an "interval model", will be presented in the context of linear observer methodology, deriving their corresponding interval version. Finally, an example based on an industrial actuator used as an FDI benchmark in the European project DAMADICS will be used for testing the proposed approach.

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