title: |
Aggregation of Health Assessment Indicators of Industrial Systems |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 1007 - 1014 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Ludovic Rizzolo, Bouthaina Abichou, Alexandre Voisin, Naim Kosayyer |
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publication date: |
July 2011 |
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keywords: |
P.H.M, Health Assessment, Industrial Systems, Utility Functions, Aggregation, Choquet Integral. |
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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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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |