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Authors: Paulo Gil 1 ; Fábio Santos 2 ; Alberto Cardoso 3 and Luis Palma 1

Affiliations: 1 Universidade Nova de Lisboa, Portugal ; 2 Visteon Corporation Ltd, Portugal ; 3 University of Coimbra, Portugal

ISBN: 978-989-8565-70-9

Keyword(s): Model-based Fault Detection, Parametric Faults, Subspace System Identification, Recursive Parameters Estimation, Neural Networks.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Intelligent Fault Detection and Identification

Abstract: This paper deals with the problem of detecting nolinear systems’ parametric faults modeled as changes in the eigenvalues of a local linear state-space model. The linear state-space model approximations are obtained by recursive subspace system identification techniques, from which the eigenvalues are extracted at each sampling time. Residuals are generated by comparing the eigenvalues against those associated with a local nominal model derived from a neural network predictor describing the nonlinear plant dynamics in free fault conditions. Parametric fault symptoms are generated from the eigenvalues residuals, whenever a given predefined threshold is exceeded. The feasibility and effectiveness of the proposed framework is demonstrated in a practical case study.

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Paper citation in several formats:
Gil, P.; Santos, F.; Santos, F.; Cardoso, A.; Palma, L. and Palma, L. (2013). Parametric Fault Detection in Nonlinear Systems - A Recursive Subspace-based Approach.In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-70-9, pages 82-88. DOI: 10.5220/0004422100820088

@conference{icinco13,
author={Paulo Gil. and Fábio Santos. and Fábio Santos. and Alberto Cardoso. and Luis Palma. and Luis Palma.},
title={Parametric Fault Detection in Nonlinear Systems - A Recursive Subspace-based Approach},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2013},
pages={82-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004422100820088},
isbn={978-989-8565-70-9},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Parametric Fault Detection in Nonlinear Systems - A Recursive Subspace-based Approach
SN - 978-989-8565-70-9
AU - Gil, P.
AU - Santos, F.
AU - Santos, F.
AU - Cardoso, A.
AU - Palma, L.
AU - Palma, L.
PY - 2013
SP - 82
EP - 88
DO - 10.5220/0004422100820088

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