A concise self-adapting deep learning network for machine remaining useful life prediction-Reference-Cited by-同舟云学术

A concise self-adapting deep learning network for machine remaining useful life prediction

Published:2023-05 Issue: Volume:191 Page:110187
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Xiang Sheng,Qin Yi^ORCID,Luo Jun,Wu Fei,Gryllias Konstantinos^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference42 articles.

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2. Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice;Zio;Reliab. Eng. Syst. Saf.,2022

3. A model-based method for remaining useful life prediction of machinery;Lei;IEEE Trans. Reliab.,2016

4. Data-model combined driven digital twin of life-cycle rolling bearing;Qin;IEEE Trans. Ind. Inf.,2021

5. A review on the application of deep learning in system health management;Khan;Mech. Syst. Sig. Process.,2018

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