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

Nicolas Pous, Dominique Gruyer, Denis Gingras

2015

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.

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