Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery-Reference-Cited by-同舟云学术

Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery

Published:2023-06 Issue: Volume:192 Page:110190
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Cao Yudong,Jia Minping^ORCID,Ding Yifei,Zhao Xiaoli,Ding Peng^ORCID,Gu Liudong

Publisher

Elsevier BV

Subject

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

Reference37 articles.

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4. Stationary subspaces-vector autoregressive with exogenous terms methodology for degradation trend estimation of rolling and slewing bearings;Ding;Mech. Syst. Signal Process.,2021

5. An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings;Li;IEEE Trans. Ind. Electron.,2015

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