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Authors: Oussama Mustapha 1 ; Mohamad Khalil 2 ; Ghaleb Hoblos 3 ; Dimitri Lefebvre 4 and Houcine Chafouk 3

Affiliations: 1 University Le Havre, GREAH; Lebanese University, Faculty of Engineering, Lebanon ; 2 Lebanese University, Faculty of Engineering; Islamic University of Lebanon, Faculty of engineering, Lebanon ; 3 ESIGELEC, IRSEEM, France ; 4 University Le Havre, GREAH, France

ISBN: 978-972-8865-84-9

ISSN: 2184-2809

Keyword(s): Signal, Filters Bank, DCS, Fault, detection, wavelet transform.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Business Analytics ; Change Detection ; Data Engineering ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control ; Time and Frequency Response ; Time-Frequency Analysis

Abstract: The aim of this paper is to detect the faults in industrial systems, such as electrical machines and drives, through on-line monitoring. The faults that are concerned correspond to changes in frequency components of the signal. Thus, early fault detection, which reduces the possibility of catastrophic damage, is possible by detecting the changes of characteristic features of the signal. This approach combines the Filters Bank technique, for extracting frequency and energy characteristic features, and the Dynamic Cumulative Sum method (DCS), which is a recursive calculation of the logarithm of the likelihood ratio between two local hypotheses. The main contribution is to derive the filters coefficients from the wavelet in order to use the filters bank as a wavelet transform. The advantage of our approach is that the filters bank can be hardware implemented and can be used for online detection.

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Paper citation in several formats:
Mustapha O.; Khalil M.; Hoblos G.; Lefebvre D.; Chafouk H. and (2007). FAULT DETECTION ALGORITHM USING DCS METHOD COMBINED WITH FILTERS BANK DERIVED FROM THE WAVELET TRANSFORM.In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-84-9, pages 226-231. DOI: 10.5220/0001640802260231

@conference{icinco07,
author={Oussama Mustapha and Mohamad Khalil and Ghaleb Hoblos and Dimitri Lefebvre and Houcine Chafouk},
title={FAULT DETECTION ALGORITHM USING DCS METHOD COMBINED WITH FILTERS BANK DERIVED FROM THE WAVELET TRANSFORM},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2007},
pages={226-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001640802260231},
isbn={978-972-8865-84-9},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - FAULT DETECTION ALGORITHM USING DCS METHOD COMBINED WITH FILTERS BANK DERIVED FROM THE WAVELET TRANSFORM
SN - 978-972-8865-84-9
AU - Mustapha, O.
AU - Khalil, M.
AU - Hoblos, G.
AU - Lefebvre, D.
AU - Chafouk, H.
PY - 2007
SP - 226
EP - 231
DO - 10.5220/0001640802260231

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