Assessing a Statistical and a Set-based Approach for Remaining Useful Life Prediction-Reference-Cited by-同舟云学术

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Assessing a Statistical and a Set-based Approach for Remaining Useful Life Prediction

Published:2023-06-26 Issue: Volume: Page:
ISSN:
Container-title:2023 31st Mediterranean Conference on Control and Automation (MED)
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Author:

Boutrous Khoury¹,Thuillier Julien²,Jha Mayank Shekhar³,Puig Vicenç¹,Theilliol Didier³

Affiliation:

1. Universitat Politècnica de Catalunya (UPC),Research Center for Supervision, Safety and Automatic Control (CS2AC),Terrassa,Spain

2. Centre National d’Etudes Spatiales (CNES), Direction des Technologies et du Numérique,Paris,France

3. University of Lorraine,Centre de Recherche en Automatique de Nancy (CRAN), UMR 7039 CNRS,Nancy,France,54506

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10185661/10185641/10185887.pdf?arnumber=10185887

Reference14 articles.

1. Why is the remaining useful life prediction uncertain?;sankararaman;PHM 2013-Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013,2013

2. Model-based prognosis using an explicit degradation model and Inverse FORM for uncertainty propagation

3. Control reconfiguration strategies for Remaining Useful Life extension

4. Comparison of stochastic response surface method and Monte Carlo method for uncertainty analysis of electronics prognostics

5. A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches

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