FAULT DETECTION BY MEANS OF DCS ALGORITHM COMBINED WITH FILTERS BANK - Application to the Tennessee Eastman Challenge Process

Oussama Mustapha, Mohamad Khalil, Ghaleb Hoblos, Houcine Chafouk, Dimitri Lefebvre

2008

Abstract

Early fault detection, which reduces the possibility of catastrophic damage, is possible by detecting the change of characteristic features of the signals. The aim of this article is to detect faults in complex industrial systems, like the Tennessee Eastman Challenge Process, through on-line monitoring. The faults that are concerned correspond to a change in frequency components of the signal. The proposed 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 segments. The method is applied to detect the perturbations that disturb the Tennessee Eastman Challenge Process and may lead the process to shut down.

Paper Citation

in Harvard Style

Mustapha O., Khalil M., Hoblos G., Chafouk H. and Lefebvre D. (2008). FAULT DETECTION BY MEANS OF DCS ALGORITHM COMBINED WITH FILTERS BANK - Application to the Tennessee Eastman Challenge Process . In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-32-6, pages 102-107. DOI: 10.5220/0001481601020107

in Bibtex Style

@conference{icinco08,
author={Oussama Mustapha and Mohamad Khalil and Ghaleb Hoblos and Houcine Chafouk and Dimitri Lefebvre},
title={FAULT DETECTION BY MEANS OF DCS ALGORITHM COMBINED WITH FILTERS BANK - Application to the Tennessee Eastman Challenge Process},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2008},
pages={102-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001481601020107},
isbn={978-989-8111-32-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - FAULT DETECTION BY MEANS OF DCS ALGORITHM COMBINED WITH FILTERS BANK - Application to the Tennessee Eastman Challenge Process
SN - 978-989-8111-32-6
AU - Mustapha O.
AU - Khalil M.
AU - Hoblos G.
AU - Chafouk H.
AU - Lefebvre D.
PY - 2008
SP - 102
EP - 107
DO - 10.5220/0001481601020107