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Output observer for fault detection in linear systems

Abstract : Fault detection (FD) is the process of monitoring a system to identify any malfunction occurring in the system. In model based fault detection, a state estimator or observer is usually designed in order to provide an estimated output which is compared with the measured output and evaluated with a decision making algorithm to identify a fault. In this paper, a new approach for fault detection is proposed based on the design of an output observer, instead of a state observer, using an input/output system representation. The proposed output observer is employed to estimate the output of the system only in order to generate a set of residuals that are indicative of the presence of a fault. The convergence of the observer is proven for any initial condition and a fault detectability condition is set. This FD scheme is validated by simulating a model of a three wheels robot
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Submitted on : Tuesday, May 17, 2022 - 12:07:00 PM
Last modification on : Wednesday, May 18, 2022 - 3:40:17 AM

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Lamine Mohamadi, Xuewu Dai, Krishna Busawon, Mohamed Djemai. Output observer for fault detection in linear systems. 2016 IEEE 14th International Conference on Industrial Informatics (INDIN), Jul 2016, Poitiers, France. pp.1262-1267, ⟨10.1109/INDIN.2016.7819361⟩. ⟨hal-03670273⟩

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