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

Yan-Hui Li; Yan-Fu Li; Enrico Zio

doi:10.1109/TII.2017.2743820

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

, (1) , (1, 2, 3)

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Yan-Hui Li

Function : Author

Yan-Fu Li

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PersonId : 5475
IdHAL : yanfu-li

Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec

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Enrico Zio

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IdHAL : enrico-zio
ORCID : 0000-0002-7108-637X
IdRef : 11103096X

Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec

Laboratoire Génie Industriel - EA 2606

CentraleSupélec

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Engineering Sciences [physics]

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

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

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HAL Id : hal-01786574 , version 1
DOI : 10.1109/TII.2017.2743820

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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⟩

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

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