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Authors: Alexander Maier 1 ; Oliver Niggemann 1 ; Roman Just 1 ; Michael Jäger 1 and Asmir Vodenčarević 2

Affiliations: 1 OWL Universitiy of Applied Sciences, Germany ; 2 University of Paderborn, Germany

ISBN: 978-989-8425-74-4

Keyword(s): Parallelism structure, Behavior model, Timed automata, Anomaly detection, Model-based diagnosis.

Related Ontology Subjects/Areas/Topics: Discrete Event Systems ; Informatics in Control, Automation and Robotics ; Instrumentation Networks and Software ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: Model-based approaches are used for testing and diagnosis of automation systems (e.g. (Struss and Ertl, 2009)). Usually the models are created manually by experts. This is a troublesome and protracted procedure. In this paper we present an approach to overcome these problems: Models are not created manually but learned automatically by observing the plant behavior. This approach is divided into two steps: First we learn the topology of automation components, the signals and logical submodules and the knowledge about parallel components. In a second step, a behavior model is learned for each component. Later on, anomalies are detected by comparing the observed system behavior with the behavior predicted by the learned model.

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Paper citation in several formats:
Maier, A.; Niggemann, O.; Just, R.; Jäger, M. and Vodenčarević, A. (2011). ANOMALY DETECTION IN PRODUCTION PLANTS USING TIMED AUTOMATA - Automated Learning of Models from Observations.In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8425-74-4, pages 363-369. DOI: 10.5220/0003538903630369

@conference{icinco11,
author={Alexander Maier. and Oliver Niggemann. and Roman Just. and Michael Jäger. and Asmir Vodenčarević.},
title={ANOMALY DETECTION IN PRODUCTION PLANTS USING TIMED AUTOMATA - Automated Learning of Models from Observations},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2011},
pages={363-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003538903630369},
isbn={978-989-8425-74-4},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - ANOMALY DETECTION IN PRODUCTION PLANTS USING TIMED AUTOMATA - Automated Learning of Models from Observations
SN - 978-989-8425-74-4
AU - Maier, A.
AU - Niggemann, O.
AU - Just, R.
AU - Jäger, M.
AU - Vodenčarević, A.
PY - 2011
SP - 363
EP - 369
DO - 10.5220/0003538903630369

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