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Authors: Kamil Dedecius 1 and Pavel Ettler 2

Affiliations: 1 Academy of Sciences of the Czech Republic, Czech Republic ; 2 COMPUREG Plzeň and s.r.o., Czech Republic

ISBN: 978-989-758-039-0

Keyword(s): Bayesian Analysis, Subjective Logic, Reliability.

Related Ontology Subjects/Areas/Topics: Engineering Applications ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Intelligent Fault Detection and Identification ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: The use of Bayesian methods in dynamic assessment of system reliability is inevitably limited by computational difficulties arising from non-conjugate prior distributions. This contribution proposes an alternative framework, based on the combination of Bayesian methods and the subjective logic. The advantage of the former – consistent and exhaustive representation of available statistical knowledge, is extended by the latter, allowing computationally feasible combination of this knowledge at any level of the observed system using logic operations. The resulting methodology is currently under development in order to enlarge the capability of an intended novel industrial hierarchical condition monitoring system.

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Paper citation in several formats:
Dedecius, K. and Ettler, P. (2014). Hierarchical Modelling of Industrial System Reliability with Probabilistic Logic.In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-039-0, pages 133-139. DOI: 10.5220/0005007001330139

@conference{icinco14,
author={Kamil Dedecius. and Pavel Ettler.},
title={Hierarchical Modelling of Industrial System Reliability with Probabilistic Logic},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2014},
pages={133-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005007001330139},
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 - Hierarchical Modelling of Industrial System Reliability with Probabilistic Logic
SN - 978-989-758-039-0
AU - Dedecius, K.
AU - Ettler, P.
PY - 2014
SP - 133
EP - 139
DO - 10.5220/0005007001330139

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