Label adversarial domain adaptation network for predicting remaining useful life based on cross-domain condition-Reference-Cited by-同舟云学术

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Label adversarial domain adaptation network for predicting remaining useful life based on cross-domain condition

Published:2024-11 Issue: Volume:197 Page:110542
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Lv Shanshan^ORCID,Xia Chengcheng,Cheng Cong,Yan Jianhai,Wu Xiaodan^ORCID

Funder

Natural Science Foundation of Hebei Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference49 articles.

1. Named entity recognition using transfer learning and small human-and meta-pseudo-labeled datasets;Bae;ETRJ Journal,2024

2. Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions;Cheng;Journal of Intelligent Manufacturing,2023

3. Pearson correlation coefficient;Cohen;Noise Reduction in Speech Processing,2009

4. Remaining useful lifetime prediction via deep domain adaptation;da Costa;Reliability Engineering & System Safety,2020

5. Simultaneous optimization of several response variables;Derringer;Journal of Quality Technology,1980

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