Output observer for fault detection in linear systems

Lamine Mohamadi, Xuewu Dai, Krishna Busawon, Mohamed Djemai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016
PublisherIEEE
Pages1262-1267
Number of pages6
ISBN (Electronic)9781509028702
ISBN (Print)9781509028719
DOIs
Publication statusPublished - 19 Jan 2017
Event14th IEEE International Conference on Industrial Informatics, INDIN 2016 - Poitiers, France
Duration: 19 Jul 201621 Jul 2016

Conference

Conference14th IEEE International Conference on Industrial Informatics, INDIN 2016
CountryFrance
CityPoitiers
Period19/07/1621/07/16

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