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Authors: Pavel Ettler 1 and Kamil Dedecius 2

Affiliations: 1 COMPUREG Plzen and s.r.o., Czech Republic ; 2 Institute of Information Theory and Automation, Czech Republic

ISBN: 978-989-758-039-0

Keyword(s): Condition Monitoring, Fault Detection and Diagnosis, Probabilistic Logic, Subjective Logic, Mathematical Modelling.

Related Ontology Subjects/Areas/Topics: Decision Support Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Intelligent Fault Detection and Identification ; Robotics and Automation ; Surveillance

Abstract: Pervasive uncertainty of information which affects to some extent functionality of every control and information system concerns naturally the condition monitoring systems as well. Uncertainty can practically be disregarded when monitoring a single component, but it should be taken into account when compounding extensive amount of information within a hierarchical diagnostic system. When using uncertain information for expression of inner system's relations, probabilistic and namely subjective logic may do a good turn. However, the key problem remains how to quantify the uncertainty on the lowermost level of the monitoring system. The paper introduces several solutions based on inspection of either a single measured signal or a couple of correlated signals.

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Paper citation in several formats:
Ettler, P. and Dedecius, K. (2014). Quantification of Information Uncertainty for the Purpose of Condition Monitoring.In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-039-0, pages 127-132. DOI: 10.5220/0005006901270132

@conference{icinco14,
author={Pavel Ettler. and Kamil Dedecius.},
title={Quantification of Information Uncertainty for the Purpose of Condition Monitoring},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2014},
pages={127-132},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005006901270132},
isbn={978-989-758-039-0},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Quantification of Information Uncertainty for the Purpose of Condition Monitoring
SN - 978-989-758-039-0
AU - Ettler, P.
AU - Dedecius, K.
PY - 2014
SP - 127
EP - 132
DO - 10.5220/0005006901270132

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