DECENTRALIZED APPROACH FOR FAULT DIAGNOSIS OF DISCRETE EVENT SYSTEMS

Moamar Sayed Mouchaweh, Alexandre Philippot, Véronique Carré-Ménétrier

2007

Abstract

This paper proposes a decentralized approach to realize the diagnosis of Discrete Event Systems (DES). This approach is based on a set of local diagnosers, each one of them diagnoses faults entailing the violation of the local desired behavior. These local diagnosers infer the fault’s occurrence using event sequences, time delays between correlated events and state conditions, characterized by sensors readings and commands issued by the controller. An adapted codiagnosability notion is formally defined in order to ensure that the set of local diagnosers is able to diagnose all faults entailing the violation of the global desired behavior. An example is used to illustrate the proposed approach.

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Paper Citation


in Harvard Style

Sayed Mouchaweh M., Philippot A. and Carré-Ménétrier V. (2007). DECENTRALIZED APPROACH FOR FAULT DIAGNOSIS OF DISCRETE EVENT SYSTEMS . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-972-8865-84-9, pages 124-129. DOI: 10.5220/0001627301240129

in Bibtex Style

@conference{icinco07,
author={Moamar Sayed Mouchaweh and Alexandre Philippot and Véronique Carré-Ménétrier},
title={DECENTRALIZED APPROACH FOR FAULT DIAGNOSIS OF DISCRETE EVENT SYSTEMS},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2007},
pages={124-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001627301240129},
isbn={978-972-8865-84-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - DECENTRALIZED APPROACH FOR FAULT DIAGNOSIS OF DISCRETE EVENT SYSTEMS
SN - 978-972-8865-84-9
AU - Sayed Mouchaweh M.
AU - Philippot A.
AU - Carré-Ménétrier V.
PY - 2007
SP - 124
EP - 129
DO - 10.5220/0001627301240129