Entropy-based domain adaption strategy for predicting remaining useful life of rolling element bearing-Reference-Cited by-同舟云学术

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Entropy-based domain adaption strategy for predicting remaining useful life of rolling element bearing

Published:2024-07 Issue: Volume:133 Page:108575
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Kumar Anil^ORCID,Parkash Chander,Zhou Yuqing^ORCID,Kundu Pradeep,Xiang Jiawei,Tang Hesheng^ORCID,Vashishtha Govind,Chauhan Sumika

Publisher

Elsevier BV

Reference42 articles.

1. Observations of changes in acoustic emission waveform for varying seeded defect sizes in a rolling element bearing;Al-Dossary;Appl. Acoust.,2009

2. Application of a new EWT-based denoising technique in bearing fault diagnosis;Chegini;Measurement: J. Int. Measure. Confederat.,2019

3. Boosting for transfer learning;Dai,2007

4. Long-term fatigue estimation on offshore wind turbines interface loads through loss function physics-guided learning of neural networks;de N Santos;Renew. Energy,2023

5. Data-driven approach augmented in simulation for robust fault prognosis;Djeziri;Eng. Appl. Artif. Intell.,2019

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1. Damage identification for mining wire rope based on continuous wavelet transform and convolutional neural network;Nondestructive Testing and Evaluation;2024-07-24

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