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Authors: Lenka Pavelkova 1 and Ladislav Jirsa 2

Affiliations: 1 Institute of Information Theory and Automation, Czech Republic ; 2 Institute of Information Theory and Automation and Academy of Sciences of the CZ, Czech Republic

Keyword(s): Industrial System Health, Sensor Signal Condition, Binomial Opinion, Bayesian Estimation, Uniform Noise, Probabilistic Logic.

Related Ontology Subjects/Areas/Topics: Adaptive Signal Processing and Control ; Business Analytics ; Change Detection ; Data Engineering ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: The paper proposes a method for evaluating a condition of a noisy sensor signal. The presented algorithm provides a binomial opinion on the sensor signal health including uncertainty by considering (i) user given bounds and (ii) measurement uncertainty. The obtained results can be utilised directly for a single sensor or in a hierarchical structure describing an industrial system of interest where sensors comprise one of the basic building block. There, each block provides a binomial opinion about its health including uncertainty. These opinions are combined using the rules of probabilistic logic so that a single opinion on the health of the whole monitored system is obtained.

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Paper citation in several formats:
Pavelkova, L. and Jirsa, L. (2014). Evaluation of Sensor Signal Health Using Model with Uniform Noise. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-039-0; ISSN 2184-2809, pages 671-677. DOI: 10.5220/0005044506710677

@conference{icinco14,
author={Lenka Pavelkova. and Ladislav Jirsa.},
title={Evaluation of Sensor Signal Health Using Model with Uniform Noise},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2014},
pages={671-677},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005044506710677},
isbn={978-989-758-039-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Evaluation of Sensor Signal Health Using Model with Uniform Noise
SN - 978-989-758-039-0
IS - 2184-2809
AU - Pavelkova, L.
AU - Jirsa, L.
PY - 2014
SP - 671
EP - 677
DO - 10.5220/0005044506710677

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