A Fresh New Look on System-level Prognostic: Handling Multi-component Interactions, Mission Profile Impacts, and Uncertainty Quantification
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 Bayesian framework is usually used, in which the prior...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
The Prognostics and Health Management Society
2021-07-01
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Series: | International Journal of Prognostics and Health Management |
Subjects: | |
Online Access: | http://papers.phmsociety.org/index.php/ijphm/article/view/2777 |