Fault diagnosis for hybrid systems based on a bank of linear observers and a discrete automaton

Abstract

This paper presents a fault diagnosis approach for a four-tank system considered as a hybrid dynamical system. The proposed diagnosis approach is based on a hybrid observer composed of a discrete automaton and a bank of linear observers. An automaton is used to improve the performance of the proposed method. For this study, we considered sensor, parametric and discrete faults. Simulation results showed the efficiency of the proposed diagnosis approach to detect and to localize the considered faults, despite the hybrid behaviors of the studied system.

Methodology to knowledge discovery for fault diagnosis of hybrid dynamical systems: demonstration on two tanks system

“…In the literature, various model-based methods have been designed for fault detection and isolation. Among which state estimation [20], parameter estimation [11] and parity equations [8]. This class of methods is used to residuals generation.…”