Fault Detection Architecture for Proprioceptive Sensors based on a Multi Model Approach and Fuzzy Logic Decisions

Nicolas Pous, Dominique Gruyer, Denis Gingras

Abstract

In this paper a new fault detection architecture will be presented. Inspired by multi-model data fusion algorithms and fuzzy logic decisions, it consists in the comparison between the estimation of a dynamic mode using each sensor independently. This method is used to deal with important non-linearity and strong interaction with the environment usually encountered in the domain of the intelligent vehicles localization. The concept of analytic redundancy is also used to ignore model uncertainties.

References

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Paper Citation


in Harvard Style

Pous N., Gruyer D. and Gingras D. (2015). Fault Detection Architecture for Proprioceptive Sensors based on a Multi Model Approach and Fuzzy Logic Decisions . In Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-109-0, pages 25-32. DOI: 10.5220/0005459700250032


in Bibtex Style

@conference{vehits15,
author={Nicolas Pous and Dominique Gruyer and Denis Gingras},
title={Fault Detection Architecture for Proprioceptive Sensors based on a Multi Model Approach and Fuzzy Logic Decisions},
booktitle={Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2015},
pages={25-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005459700250032},
isbn={978-989-758-109-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Fault Detection Architecture for Proprioceptive Sensors based on a Multi Model Approach and Fuzzy Logic Decisions
SN - 978-989-758-109-0
AU - Pous N.
AU - Gruyer D.
AU - Gingras D.
PY - 2015
SP - 25
EP - 32
DO - 10.5220/0005459700250032