CAUSAL REASONING IMPROVED BY FUZZY LOGIC FOR DIAGNOSIS OF BOND GRAPH MODELLED UNCERTAIN PARAMETERS SYSTEMS

Walid Bouallègue, Salma Bouslama Bouabdallah, Moncef Tagina

2011

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.

Paper Citation

in Harvard Style

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 2: ICINCO, ISBN 978-989-8425-75-1, pages 59-66. DOI: 10.5220/0003537500590066

in Bibtex Style

@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 2: ICINCO,},
year={2011},
pages={59-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003537500590066},
isbn={978-989-8425-75-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - CAUSAL REASONING IMPROVED BY FUZZY LOGIC FOR DIAGNOSIS OF BOND GRAPH MODELLED UNCERTAIN PARAMETERS SYSTEMS
SN - 978-989-8425-75-1
AU - Bouallègue W.
AU - Bouslama Bouabdallah S.
AU - Tagina M.
PY - 2011
SP - 59
EP - 66
DO - 10.5220/0003537500590066