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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:

XJTU-SY Rolling Element Bearing Accelerated Life Test Datasets: A Tutorial
Lei Yaguo, Tianyu Han, Biao Wang, et al.
Journal of Mechanical Engineering (2019) Vol. 55, Iss. 16, pp. 1-1
Open Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

A new tool wear condition monitoring method based on deep learning under small samples
Yuqing Zhou, Gaofeng Zhi, Wei Chen, et al.
Measurement (2021) Vol. 189, pp. 110622-110622
Closed Access | Times Cited: 112
Construction of health indicators for condition monitoring of rotating machinery: A review of the research
Haoxuan Zhou, Xin Huang, Guangrui Wen, et al.
Expert Systems with Applications (2022) Vol. 203, pp. 117297-117297
Closed Access | Times Cited: 108
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
Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraints
Xinxin He, Zhijian Wang, Yanfeng Li, et al.
Reliability Engineering & System Safety (2022) Vol. 222, pp. 108429-108429
Closed Access | Times Cited: 68
Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model
Liuyang Song, Ye Jin, Tianjiao Lin, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 21
Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process
Xiaoan Yan, Daoming She, Yadong Xu, et al.
Knowledge-Based Systems (2021) Vol. 226, pp. 107142-107142
Closed Access | Times Cited: 85
An adaptive prediction approach for rolling bearing remaining useful life based on multistage model with three-source variability
Shujie Liu, Lexian Fan
Reliability Engineering & System Safety (2021) Vol. 218, pp. 108182-108182
Closed Access | Times Cited: 76
Interpretable online updated weights: Optimized square envelope spectrum for machine condition monitoring and fault diagnosis
Bingchang Hou, Dong Wang, Yikai Chen, et al.
Mechanical Systems and Signal Processing (2022) Vol. 169, pp. 108779-108779
Closed Access | Times Cited: 53
Research on a remaining useful life prediction method for degradation angle identification two-stage degradation process
Zhijian Wang, Yuntian Ta, Wenan Cai, et al.
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109747-109747
Closed Access | Times Cited: 47
Fault diagnosis of mechanical equipment in high energy consumption industries in China: A review
Yongjian Sun, Jian Wang, Xiaohong Wang
Mechanical Systems and Signal Processing (2022) Vol. 186, pp. 109833-109833
Closed Access | Times Cited: 42
Adaptive staged remaining useful life prediction method based on multi-sensor and multi-feature fusion
Yuntian Ta, Yan‐Feng Li, Wenan Cai, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109033-109033
Closed Access | Times Cited: 39
A two-stage data-driven approach to remaining useful life prediction via long short-term memory networks
Huixin Zhang, Xiaopeng Xi, Rong Pan
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109332-109332
Closed Access | Times Cited: 37
Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109292-109292
Closed Access | Times Cited: 26
Predictive maintenance decision-making for variable faults with non-equivalent costs of fault severities
Yaqiong Lv, Xiaoling Guo, Qianwen Zhou, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 102011-102011
Closed Access | Times Cited: 23
Enhanced residual convolutional domain adaptation network with CBAM for RUL prediction of cross-machine rolling bearing
Xingchi Lu, Quan Jiang, Yehu Shen, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109976-109976
Closed Access | Times Cited: 12
Local maximum instantaneous extraction transform based on extended autocorrelation function for bearing fault diagnosis
Tao Liu, Laixing Li, Khandaker Noman, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102487-102487
Closed Access | Times Cited: 10
Long short-term memory network with multi-resolution singular value decomposition for prediction of bearing performance degradation
Mengfu He, Youguang Zhou, Yang Li, et al.
Measurement (2020) Vol. 156, pp. 107582-107582
Closed Access | Times Cited: 67
Mechanical fault time series prediction by using EFMSAE-LSTM neural network
Jianwen Guo, Zhenpeng Lao, Ming Liang Hou, et al.
Measurement (2020) Vol. 173, pp. 108566-108566
Closed Access | Times Cited: 57
Generalized Gini indices: Complementary sparsity measures to Box-Cox sparsity measures for machine condition monitoring
Bingchang Hou, Dong Wang, Tangbin Xia, et al.
Mechanical Systems and Signal Processing (2021) Vol. 169, pp. 108751-108751
Closed Access | Times Cited: 49
Multi-scale and multi-layer perceptron hybrid method for bearings fault diagnosis
Suchao Xie, Yaxin Li, Hongchuang Tan, et al.
International Journal of Mechanical Sciences (2022) Vol. 235, pp. 107708-107708
Closed Access | Times Cited: 35
A Synthetic Feature Processing Method for Remaining Useful Life Prediction of Rolling Bearings
Jinhua Mi, Lulu Liu, Yonghao Zhuang, et al.
IEEE Transactions on Reliability (2022) Vol. 72, Iss. 1, pp. 125-136
Closed Access | Times Cited: 28
A Novel Convolution Network Based on Temporal Attention Fusion Mechanism for Remaining Useful Life Prediction of Rolling Bearings
Zong Meng, Bo Xu, Lixiao Cao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 4, pp. 3990-3999
Closed Access | Times Cited: 18
Estimating remaining useful life of rotating machinery using relevance vector machine and deep learning network
Lele Li, Jiawang Xu, Juguang Li
Engineering Failure Analysis (2023) Vol. 146, pp. 107125-107125
Closed Access | Times Cited: 18
RUL prediction method for rolling bearing using convolutional denoising autoencoder and bidirectional LSTM
Xuejian Yao, Junjun Zhu, Quan Jiang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035111-035111
Closed Access | Times Cited: 17
Digital Twin for wear degradation of sliding bearing based on PFENN
Jingzhou Dai, Ling Tian, Tianlin Han, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102512-102512
Closed Access | Times Cited: 7
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