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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Rolling bearing prognostic analysis for domain adaptation under different operating conditions
Maan Singh Rathore, S. P. Harsha
Engineering Failure Analysis (2022) Vol. 139, pp. 106414-106414
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Jiaxian Chen, Ruyi Huang, Zhuyun Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110239-110239
Closed Access | Times Cited: 101
Enhanced transfer learning method for rolling bearing fault diagnosis based on linear superposition network
Chunran Huo, Quan Jiang, Yehu Shen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105970-105970
Closed Access | Times Cited: 49
Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions
Wanxiang Li, Zhiwu Shang, Maosheng Gao, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108722-108722
Closed Access | Times Cited: 40
A CNN‐BiLSTM‐Bootstrap integrated method for remaining useful life prediction of rolling bearings
Junyu Guo, Jiang Wang, Zhiyuan Wang, et al.
Quality and Reliability Engineering International (2023) Vol. 39, Iss. 5, pp. 1796-1813
Closed Access | Times Cited: 35
A hybrid intelligent rolling bearing fault diagnosis method combining WKN-BiLSTM and attention mechanism
Jiang Wang, Junyu Guo, Lin Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 8, pp. 085106-085106
Closed Access | Times Cited: 29
A two-stage domain alignment method for multi-source domain fault diagnosis
Wei Cao, Zong Meng, Dengyun Sun, et al.
Measurement (2023) Vol. 214, pp. 112818-112818
Closed Access | Times Cited: 22
Physics-informed multi-state temporal frequency network for RUL prediction of rolling bearings
Shilong Yang, Baoping Tang, Weiying Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109716-109716
Closed Access | Times Cited: 22
Rolling bearing fault diagnosis based on RQA with STD and WOA-SVM
Wentao Qiu, Bing Wang, Xiong Hu
Heliyon (2024) Vol. 10, Iss. 4, pp. e26141-e26141
Open Access | Times Cited: 9
Multi-source domain generalization for degradation monitoring of journal bearings under unseen conditions
Ning Ding, Hu-Lin Li, Xin Qi, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108966-108966
Closed Access | Times Cited: 27
Few-shot fatigue damage evaluation of aircraft structure using neural augmentation and deep transfer learning
Changchang Che, Huawei Wang, Minglan Xiong, et al.
Engineering Failure Analysis (2023) Vol. 148, pp. 107185-107185
Closed Access | Times Cited: 21
Intelligent fault diagnosis of partial deep transfer based on multi-representation structural intraclass compact and double-aligned domain adaptation
Wanxiang Li, Zhiwu Shang, Maosheng Gao, et al.
Mechanical Systems and Signal Processing (2023) Vol. 197, pp. 110412-110412
Closed Access | Times Cited: 18
Remaining useful life prediction model of cross-domain rolling bearing via dynamic hybrid domain adaptation and attention contrastive learning
Xingchi Lu, Xuejian Yao, Quan Jiang, et al.
Computers in Industry (2024) Vol. 164, pp. 104172-104172
Closed Access | Times Cited: 5
Remaining useful life prediction under variable operating conditions via multisource adversarial domain adaptation networks
Junrong Du, Lei Song, Xuanang Gui, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111717-111717
Closed Access | Times Cited: 4
Entropy-based domain adaption strategy for predicting remaining useful life of rolling element bearing
Anil Kumar, Chander Parkash, Yuqing Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108575-108575
Closed Access | Times Cited: 4
LSTM-based deep learning approach for remaining useful life prediction of rolling bearing using proposed C-MMPE feature
Prashant Kumar Sahu, Rajiv Nandan
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 5, pp. 2197-2209
Closed Access | Times Cited: 3
A meta-weighted network equipped with uncertainty estimations for remaining useful life prediction of turbopump bearings
Tongyang Pan, Jinglong Chen, Z. Liu
Expert Systems with Applications (2024) Vol. 252, pp. 124161-124161
Closed Access | Times Cited: 2
An Efficient Deep Learning Prognostic Model for Remaining Useful Life Estimation of High Speed CNC Milling Machine Cutters
Hamdy K. Elminir, Mohamed A. El-Brawany, Dina A. Ibrahim, et al.
Results in Engineering (2024) Vol. 24, pp. 103420-103420
Open Access | Times Cited: 2
Multi-representation transferable attention network for remaining useful life prediction of rolling bearings under multiple working conditions
Yabin Shi, Youchang Cui, Han Cheng, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025037-025037
Closed Access | Times Cited: 5
Roller Bearing Failure Analysis using Gaussian Mixture Models and Convolutional Neural Networks
Maan Singh Rathore, S. P. Harsha
Journal of Failure Analysis and Prevention (2022) Vol. 22, Iss. 5, pp. 1853-1871
Closed Access | Times Cited: 8
An unsupervised transfer learning approach for rolling bearing fault diagnosis based on dual pseudo-label screening
Chunran Huo, Weiyang Xu, Quan Jiang, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 4, pp. 2288-2309
Closed Access | Times Cited: 4
Principal-feature-guided degradation trend prediction algorithm based on gear fault dynamics model
Rui Yu, Bin He, Maoyuan Ma
Engineering Failure Analysis (2024) Vol. 163, pp. 108455-108455
Closed Access | Times Cited: 1
Unsupervised Domain Deep Transfer Learning Approach for Rolling Bearing Remaining Useful Life Estimation
Maan Singh Rathore, S. P. Harsha
Journal of Computing and Information Science in Engineering (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 3
A Novel Method for Multistage Degradation Predicting the Remaining Useful Life of Wind Turbine Generator Bearings Based on Domain Adaptation
Miao Tian, Xiaoming Su, Changzheng Chen, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12332-12332
Open Access | Times Cited: 3
Rolling Element Bearing Degradation Prediction Using Dynamic Model and an Improved Adversarial Domain Adaptation Approach
Simeng Xu, Chenxing Jiang, Cangjie Yang, et al.
IEEE Access (2024) Vol. 12, pp. 73719-73730
Open Access
Deep transfer learning in machinery remaining useful life prediction: A systematic review
Gaige Chen, Xianguang Kong, Han Cheng, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012005-012005
Closed Access
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