Output observer for fault detection in linear systems

Mohamadi, Lamine, Dai, Xuewu, Busawon, Krishna and Djemai, Mohamed (2017) Output observer for fault detection in linear systems. In: INDIN 2016 - 14th IEEE International Conference on Industrial Informatics, 19th - 21st July 2016, Poitiers, France.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/INDIN.2016.7819361

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.

Item Type: Conference or Workshop Item (Paper)
Subjects: G400 Computer Science
G500 Information Systems
Depositing User: Paul Burns
Date Deposited: 03 Dec 2018 13:52
Last Modified: 03 Dec 2018 13:52
URI: http://nrl.northumbria.ac.uk/id/eprint/37042

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