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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.

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Showing 1-25 of 369 citing articles:

A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 281
Meta-learning for few-shot bearing fault diagnosis under complex working conditions
Chuanjiang Li, Shaobo Li, Ansi Zhang, et al.
Neurocomputing (2021) Vol. 439, pp. 197-211
Closed Access | Times Cited: 193
CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis
Diwang Ruan, Jin Wang, Jianping Yan, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101877-101877
Open Access | Times Cited: 152
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings
Yifei Ding, Jichao Zhuang, Peng Ding, et al.
Reliability Engineering & System Safety (2021) Vol. 218, pp. 108126-108126
Closed Access | Times Cited: 148
A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations
Mohammed Hakim, Abdoulhdi A. Borhana Omran, Ali Najah Ahmed, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 4, pp. 101945-101945
Open Access | Times Cited: 129
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions
Yifei Ding, Minping Jia, Jichao Zhuang, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108890-108890
Closed Access | Times Cited: 125
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106139-106139
Open Access | Times Cited: 122
Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis
Chuanjiang Li, Shaobo Li, Huan Wang, et al.
Knowledge-Based Systems (2023) Vol. 264, pp. 110345-110345
Open Access | Times Cited: 107
Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier
Saeed Rajabi, Mehdi Saman Azari, Stefania Santini, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117754-117754
Open Access | Times Cited: 82
Fault diagnosis in rotating machines based on transfer learning: Literature review
Iqbal Misbah, C.K.M. Lee, K. L. Keung
Knowledge-Based Systems (2023) Vol. 283, pp. 111158-111158
Closed Access | Times Cited: 57
Improved Fault Classification for Predictive Maintenance in Industrial IoT Based on AutoML: A Case Study of Ball-Bearing Faults
Russul H. Hadi, Haider Najy Hady, Ahmed Mudheher Hasan, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1507-1507
Open Access | Times Cited: 51
Insights into modern machine learning approaches for bearing fault classification: A systematic literature review
Afzal Ahmed Soomro, Masdi Muhammad, Ainul Akmar Mokhtar, et al.
Results in Engineering (2024) Vol. 23, pp. 102700-102700
Open Access | Times Cited: 18
A Review on Deep Learning-Based Approaches for Automatic Sonar Target Recognition
Dhiraj Neupane, Jongwon Seok
Electronics (2020) Vol. 9, Iss. 11, pp. 1972-1972
Open Access | Times Cited: 125
Machine Learning Based Bearing Fault Diagnosis Using the Case Western Reserve University Data: A Review
Xiao Zhang, Boyang Zhao, Yun Lin
IEEE Access (2021) Vol. 9, pp. 155598-155608
Open Access | Times Cited: 96
Fault Diagnosis of Bearings Based on Multi-Sensor Information Fusion and 2D Convolutional Neural Network
Jiaxing Wang, Dazhi Wang, Sihan Wang, et al.
IEEE Access (2021) Vol. 9, pp. 23717-23725
Open Access | Times Cited: 78
FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification
Rishikesh Magar, Lalit Ghule, Junhan Li, et al.
IEEE Access (2021) Vol. 9, pp. 25189-25199
Open Access | Times Cited: 71
Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions
Shengkang Yang, Xianguang Kong, Qibin Wang, et al.
Knowledge-Based Systems (2022) Vol. 249, pp. 108639-108639
Closed Access | Times Cited: 63
A fault diagnosis method based on one-dimensional data enhancement and convolutional neural network
Yunyao Long, Wuneng Zhou, Yong Luo
Measurement (2021) Vol. 180, pp. 109532-109532
Closed Access | Times Cited: 55
A Survey on Fault Diagnosis of Rolling Bearings
Bo Peng, Ying Bi, Bing Xue, et al.
Algorithms (2022) Vol. 15, Iss. 10, pp. 347-347
Open Access | Times Cited: 55
A neural network compression method based on knowledge-distillation and parameter quantization for the bearing fault diagnosis
Mengyu Ji, Gaoliang Peng, Sijue Li, et al.
Applied Soft Computing (2022) Vol. 127, pp. 109331-109331
Closed Access | Times Cited: 46
Bearing fault diagnosis method based on a multi-head graph attention network
Li Jiang, Xingjie Li, Lin Wu, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 7, pp. 075012-075012
Closed Access | Times Cited: 43
TinyML-enabled edge implementation of transfer learning framework for domain generalization in machine fault diagnosis
Supriya Asutkar, Chaitravi Chalke, Kajal Shivgan, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119016-119016
Closed Access | Times Cited: 41
Semi-supervised learning for industrial fault detection and diagnosis: A systemic review
José Miguel Ramírez‐Sanz, Jose-Alberto Maestro-Prieto, Álvar Arnaiz‐González, et al.
ISA Transactions (2023) Vol. 143, pp. 255-270
Open Access | Times Cited: 36
Attention-Embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis
Jing-Xiao Liao, Hangcheng Dong, Zhi-Qi Sun, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Open Access | Times Cited: 32
Intelligent fault diagnosis of rolling bearings with low-quality data: A feature significance and diversity learning method
Jiayu Chen, Cuiyin Lin, Boqing Yao, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109343-109343
Closed Access | Times Cited: 32
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