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Authors: Rafik Bensaadi ; Hayet Mouss and Nadia Mouss

Affiliation: Laboratoire d’Automatique et Productique, Université de Batna, Algeria

ISBN: 972-8865-19-8

Keyword(s): Diagnosis, fault detection, pattern recognition, fuzzy control, complex plant, conjugate gradients.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems

Abstract: In order to avoid catastrophic situations when the dynamics of a physical system (entity in a M.A.S architecture) are evolving toward an undesirable operating mode, particular and quick safety actions have to be programmed in the control design. Classic control (PID and even state model based methods) becomes powerless for complex plants (nonlinear, MIMO and ill-defined systems). A more efficient diagnosis requires an artificial intelligence approach. We propose in this paper the design of a Fuzzy Pattern Recognition System (FPRS) that solves, in real time, the main following problems:  Identification of an actual state,  Identification of an eventual evolution towards a failure state,  Diagnosis and decision-making.

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Paper citation in several formats:
Bensaadi R.; Mouss H.; Mouss N. and (2005). FUZZY PATTERN RECOGNITION BASED FAULT DIAGNOSIS.In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-19-8, pages 347-356. DOI: 10.5220/0002510403470356

@conference{iceis05,
author={Rafik Bensaadi and Hayet Mouss and Nadia Mouss},
title={FUZZY PATTERN RECOGNITION BASED FAULT DIAGNOSIS},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2005},
pages={347-356},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002510403470356},
isbn={972-8865-19-8},
}

TY - CONF

JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - FUZZY PATTERN RECOGNITION BASED FAULT DIAGNOSIS
SN - 972-8865-19-8
AU - Bensaadi, R.
AU - Mouss, H.
AU - Mouss, N.
PY - 2005
SP - 347
EP - 356
DO - 10.5220/0002510403470356

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