Robust Fault Detection: Active Versus Passive Approaches

Abstract

The problem of robustness in fault detection has been treated using basically two kinds of approaches: actives and passives. Most of the literature in robust fault detection is focused on the problem of active approach. The passive approach is based mainly in the idea of using adaptive thresholds. In this paper the passive approach based on adaptive thresholds produced using an model with uncertain parameters bounded in intervals, also known as “interval models” will be compared with active approaches based on decoupling the effect of unknown parameters using a robust active approach based on parity equations. The paper will also analyse the different effects that affect the residual, i.e., disturbances, noises and model errors. At the end of the paper an example comparing the active approach based on parity equation and a passive approach based on an adaptive threshold produced using an interval model will be presented.