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Journal articles

A clustering approach for mining reliability big data for asset management

Francesco Cannarile Michele Compare 1 Francesco Di Maio 1 Enrico Zio 2, 3, 4
1 DENG - Dipartimento di Energia [Milano]
2 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec
3 LGI - Laboratoire Génie Industriel - EA 2606
4 CentraleSupélec
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Journal articles
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01786561
Contributor : Zhiguo Zeng Connect in order to contact the contributor
Submitted on : Saturday, May 5, 2018 - 10:13:08 PM
Last modification on : Saturday, May 8, 2021 - 3:40:21 AM

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CENTRALESUPELEC | LGI | SUP_CHAIRE-SSEC | EDF | UNIV-PARIS-SACLAY | LGI-SR | GS-ENGINEERING

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Francesco Cannarile, Michele Compare, Francesco Di Maio, Enrico Zio. A clustering approach for mining reliability big data for asset management. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, SAGE Publications, 2018, 232 (2), pp.140 - 150. ⟨10.1177/1748006X17716344⟩. ⟨hal-01786561⟩

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