A Framework for Modeling and Optimizing Maintenance in Systems Considering Epistemic Uncertainty and Degradation Dependence Based on PDMPs - CentraleSupélec Access content directly
Journal Articles IEEE Transactions on Industrial Informatics Year : 2018

A Framework for Modeling and Optimizing Maintenance in Systems Considering Epistemic Uncertainty and Degradation Dependence Based on PDMPs

Domains

Engineering Sciences [physics]

Zhiguo Zeng  : Connect in order to contact the contributor

https://hal-centralesupelec.archives-ouvertes.fr/hal-01786574

Submitted on : Saturday, May 5, 2018-10:26:45 PM

Last modification on : Thursday, March 9, 2023-10:30:16 AM

Consult the full text

Dates and versions

hal-01786574 , version 1 (05-05-2018)

Identifiers

Cite

Yan-Hui Li, Yan-Fu Li, Enrico Zio. A Framework for Modeling and Optimizing Maintenance in Systems Considering Epistemic Uncertainty and Degradation Dependence Based on PDMPs. IEEE Transactions on Industrial Informatics, 2018, 14 (1), pp.210 - 220. ⟨10.1109/TII.2017.2743820⟩. ⟨hal-01786574⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

LGI SUP_CHAIRE-SSEC CENTRALESUPELEC LGI-SR UNIV-PARIS-SACLAY EDF GS-ENGINEERING
52 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More