Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

Aggregation of Health Assessment Indicators of Industrial Systems

Authors
Ludovic Rizzolo, Bouthaina Abichou, Alexandre Voisin, Naim Kosayyer
Corresponding Author
Ludovic Rizzolo
Available Online August 2011.
DOI
https://doi.org/10.2991/eusflat.2011.32How to use a DOI?
Keywords
P.H.M, Health Assessment, Industrial Systems, Utility Functions, Aggregation, Choquet Integral.
Abstract
In the field of Prognostics and Health Management (P.H.M.), Health Monitoring can be seen as the first step to manage the global health state of complex systems. Health Monitoring of industrial systems focuses on accurately describing the health state of a system, using several equipment indicators. However, managers and maintainers have to make decisions. Such decisions can be hard to make while watching all indicators of the system simultaneously. In order to ease the decision making process, a synthetic indicator, which represent the actual system's state, can be used. In this paper, we will present an approach for building an aggregated indicator characterizing the global health state of a system. This approach was implemented on the TELMA platform (integrated TELeMAintenance platform for research and education) which simulates an industrial process.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2011
ISBN
978-90-78677-00-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2011.32How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ludovic Rizzolo
AU  - Bouthaina Abichou
AU  - Alexandre Voisin
AU  - Naim Kosayyer
PY  - 2011/08
DA  - 2011/08
TI  - Aggregation of Health Assessment Indicators of Industrial Systems
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1007
EP  - 1014
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.32
DO  - https://doi.org/10.2991/eusflat.2011.32
ID  - Rizzolo2011/08
ER  -