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Authors: Walid Bouallègue 1 ; Salma Bouslama Bouabdallah 1 and Moncef Tagina 2

Affiliations: 1 National Engineering School of Tunis, Tunisia ; 2 National School of Computer Sciences, Tunisia

Keyword(s): Fault detection and isolation (FDI), Bond graph (BG), Parameters uncertainties, Fuzzy logic, Causal reasoning.

Related Ontology Subjects/Areas/Topics: Control and Supervision Systems ; Informatics in Control, Automation and Robotics ; Robotics and Automation ; Surveillance

Abstract: In this paper, a method for on-line fault detection and isolation (FDI) of bond graph (BG) modelled uncertain parameters systems is proposed. In this case, we don’t have to calculate the Analytical Redundancy Relations (RRAs) since residuals are directly generated from the Diagnostic Bond Graph (DBG). Detection is based on fuzzy logic approach. For isolation, two methods exploiting the causal properties of the BG model are used: Fault Signature Matrix (FSM), and exoneration. A real simulation example is provided to show the efficiency of the proposed methods.

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Paper citation in several formats:
Bouallègue, W.; Bouslama Bouabdallah, S. and Tagina, M. (2011). CAUSAL REASONING IMPROVED BY FUZZY LOGIC FOR DIAGNOSIS OF BOND GRAPH MODELLED UNCERTAIN PARAMETERS SYSTEMS. In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-8425-75-1; ISSN 2184-2809, SciTePress, pages 59-66. DOI: 10.5220/0003537500590066

@conference{icinco11,
author={Walid Bouallègue. and Salma {Bouslama Bouabdallah}. and Moncef Tagina.},
title={CAUSAL REASONING IMPROVED BY FUZZY LOGIC FOR DIAGNOSIS OF BOND GRAPH MODELLED UNCERTAIN PARAMETERS SYSTEMS},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2011},
pages={59-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003537500590066},
isbn={978-989-8425-75-1},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - CAUSAL REASONING IMPROVED BY FUZZY LOGIC FOR DIAGNOSIS OF BOND GRAPH MODELLED UNCERTAIN PARAMETERS SYSTEMS
SN - 978-989-8425-75-1
IS - 2184-2809
AU - Bouallègue, W.
AU - Bouslama Bouabdallah, S.
AU - Tagina, M.
PY - 2011
SP - 59
EP - 66
DO - 10.5220/0003537500590066
PB - SciTePress

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