A Modeling Framework for Maintenance Optimization of Electrical Components Based on Fuzzy Logic and Effective Age

Piero Baraldi 1 A. Balestrero 1 Michele Compare 1 L. Benetrix 2 A. Despujols 2 Enrico Zio 3
1 DENG - Dipartimento di Energia [Milano]
2 EDF - EDF
3 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec
Abstract : In this article, the problem of building a model in support of maintenance optimization when the only available information is that elicited from one expert is tackled. In particular, the degradation process affecting the component is modeled by resorting to the concept of effective age. Information is elicited from one expert by following a systematic literature approach, and the theoretical framework of fuzzy logic is used to deal with his or her qualitative statements. A hybrid approach based on Monte Carlo method and fuzzy logic is then applied to evaluate the performance of a given maintenance policy. Finally, the proposed methodology is applied to a real case study dealing with a medium-voltage test network.
Keywords : condition-based maintenance (CBM) maintenance optimization effective age fuzzy logic expert elicitation
Document type :
Journal articles
Complete list of metadatas
https://hal-supelec.archives-ouvertes.fr/hal-00777696
Contributor : Yanfu Li <>
Submitted on : Thursday, January 17, 2013 - 6:07:45 PM
Last modification on : Tuesday, August 13, 2019 - 11:10:04 AM

Links full text

istex

Identifiers

Collections

EC-PARIS | SUP_E3S | SUP_CHAIRE-SSEC | SUPELEC | LGI | CENTRALESUPELEC | EDF | LGI-SR

Citation

Piero Baraldi, A. Balestrero, Michele Compare, L. Benetrix, A. Despujols, et al.. A Modeling Framework for Maintenance Optimization of Electrical Components Based on Fuzzy Logic and Effective Age. Quality and Reliability Engineering International, Wiley, 2013, 29 (3), pp.385-405. ⟨10.1002/qre.1388⟩. ⟨hal-00777696⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

226

Contact

CCSD