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.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) |
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Subjects: | G400 Computer Science G500 Information Systems |
Depositing User: | Paul Burns |
Date Deposited: | 03 Dec 2018 13:52 |
Last Modified: | 11 Oct 2019 18:17 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/37042 |
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