Aggregation of Health Assessment Indicators of Industrial Systems

DOI

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.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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 (EUSFLAT-11)
PB  - Atlantis Press
SP  - 1007
EP  - 1014
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.32
DO  - 10.2991/eusflat.2011.32
ID  - Rizzolo2011/08
ER  -