A Digital Failure Twin Model For PHM: From Concepts To Maturity Levels-Reference-Cited by-同舟云学术

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A Digital Failure Twin Model For PHM: From Concepts To Maturity Levels

Published:2023-10-12 Issue: Volume:1.2014 Page:1-6
ISSN:
Container-title:2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou)
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Author:

Ge Xihe¹,Zeng Zhiguo²,Anwer Nabil³

Affiliation:

1. Paris-Saclay University,Laboratoire Genie Industriel (LGI) CentraleSupelec,Gif-sur-Yvette,France,91190

2. Paris-Saclay University,Chair of Risk and Resilience of Complex Systems, Laboratoire Genie Industriel (LGI) CentraleSupelec,Gif-sur-Yvette,France,91190

3. Paris-Saclay University,Laboratoire Universitaire de Recherche en Production Automatisée (LURPA) ENS Paris-Saclay,Gif-sur-Yvette,France,91190

Funder

ANR

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10482420/10482375/10482579.pdf?arnumber=10482579

Reference15 articles.

1. Prognostics and Health Management of Industrial Equipment

2. Prognostics and Health Management: A Review on Data Driven Approaches

3. A model-based approach to prognostics and health management for flight control actuators

4. A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

5. Digital twin: manufacturing excellence through virtual factory replication;Michael;White paper,2014

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