A Fresh New Look on System-level Prognostic: Handling Multi-component Interactions, Mission Profile Impacts, and Uncertainty Quantification

Autor: Ferhat Tamssaouet, Khanh T.P. Nguyen, Kamal Medjaher, Marcos Orchard

Publikováno v: International Journal of Prognostics and Health Management, Vol Vol. 12, Iss No.2 (2021)

Model-based prognostic approaches use first-principle or regression models to estimate and predict the system’s health state in order to determine the remaining useful life (RUL). Then, in order to handle the prediction results uncertainty, the Bay

Externí odkaz: https://doaj.org/article/a7ce99877f50468baaa05fc7cd2a9a48

System-Level Prognostics Under Mission Profile Effects Using Inoperability Input–Output Model

Autor: Ferhat Tamssaouet, Khanh T. P. Nguyen, Kamal Medjaher

Publikováno v: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51:4659-4669

During the two last decades, the failure prognostics has been given an increasing importance by the researchers and industrials thanks to the benefits its results can induce in terms of availability, security, and maintenance costs. However, a detail

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fcfea85a1e0c7e08ca2b282c95e956af
https://doi.org/10.1109/tsmc.2019.2944834

Degradation Modeling and Uncertainty Quantification for System-Level Prognostics

Autor: Khanh T. P. Nguyen, Marcos E. Orchard, Kamal Medjaher, Ferhat Tamssaouet

Publikováno v: IEEE Systems Journal. 15:1628-1639

Modern systems, that are often constituted of different interacting components, have increasing requirements for improving availability and safety when suffering unanticipated failures. Therefore, one needs to continuously monitor them, estimate and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::105a4adaf32787248113d730830c5d52
https://doi.org/10.1109/jsyst.2020.2983376

A Fresh New Look on System-level Prognostic: Handling Multi-component Interactions, Mission Profile Impacts, and Uncertainty Quantification

Autor: Khanh T. P. Nguyen, Ferhat Tamssaouet, Marcos E. Orchard, Kamal Medjaher

Publikováno v: International Journal of Prognostics and Health Management, Vol Vol. 12, Iss No.2 (2021)

Model-based prognostic approaches use first-principle or regression models to estimate and predict the system’s health state in order to determine the remaining useful life (RUL). Then, in order to handle the prediction results uncertainty, the Bay

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c0faf854cfb0517d1fb0d4d4b6a56e5
http://papers.phmsociety.org/index.php/ijphm/article/view/2777

Uncertainty Quantification in System-level Prognostics: Application to Tennessee Eastman Process

Autor: Ferhat Tamssaouet, Marcos E. Orchard, Kamal Medjaher, T. P. Khanh Nguyen

Publikováno v: CoDIT
Proceedings of the The sixth (6th) edition in the series of the International Conference on Control, Decision and Information Technologies
The sixth (6th) edition in the series of the International Conference on Control, Decision and Information Technologies-CODIT 2019
The sixth (6th) edition in the series of the International Conference on Control, Decision and Information Technologies-CODIT 2019, Apr 2019, Paris, France. pp.1-6

International audience; This paper addresses the problem of uncertainty quantification in system-level prognostics. To this purpose, a three-step methodology, based on the inoperability input-output model, is presented. The first step concerns the es

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e78ac20b939bcca0388a4be505bc051a
https://doi.org/10.1109/codit.2019.8820618