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Integrated framework for estimating remaining useful lifetime through a deep neural network

  • Published:2022-06 Issue: Volume:122 Page:108879
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Son Seho,Oh Ki-YongORCID

Funder

Korea Institute of Machinery and Materials

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Hanyang University

Ministry of Trade, Industry and Energy

Publisher

Elsevier BV

Subject

Software

Reference44 articles.

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3. Prognostics: a literature review;Elattar;Complex Intell. Syst.,2016

4. A review on prognostics and health management (PHM) methods of lithium-ion batteries;Meng;Renew. Sustain. Energy Rev.,2019

5. A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning;Hamadache;JMST Adv.,2019

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