A GLOBAL MODEL OF SEQUENCES OF DISCRETE EVENT CLASS OCCURRENCES

Philippe Bouché, Marc Le Goc, Jérome Coinu

Abstract

This paper proposes a global model of a set of alarm sequences that are generated by knowledge based system monitoring a dynamic process. The modelling approach is based on the Stochastic Approach to discover timed relations between discrete event classes from the representation of a set of sequences under the dual form of a homogeneous continuous time Markov chain and a superposition of Poisson processes. An abductive reasoning on these representations allows discovering chronicle models that can be used as diagnosis rules. Such rules subsume a temporal model called the average time sequence that sums up the initial set of sequences. This paper presents this model and the role it play in the analysis of an industrial process monitored with a network of industrial automata.

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Paper Citation


in Harvard Style

Bouché P., Le Goc M. and Coinu J. (2008). A GLOBAL MODEL OF SEQUENCES OF DISCRETE EVENT CLASS OCCURRENCES . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 173-180. DOI: 10.5220/0001680701730180


in Bibtex Style

@conference{iceis08,
author={Philippe Bouché and Marc Le Goc and Jérome Coinu},
title={A GLOBAL MODEL OF SEQUENCES OF DISCRETE EVENT CLASS OCCURRENCES},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={173-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001680701730180},
isbn={978-989-8111-37-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A GLOBAL MODEL OF SEQUENCES OF DISCRETE EVENT CLASS OCCURRENCES
SN - 978-989-8111-37-1
AU - Bouché P.
AU - Le Goc M.
AU - Coinu J.
PY - 2008
SP - 173
EP - 180
DO - 10.5220/0001680701730180