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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 101-125 of 373 citing articles:

GCN-Based LSTM Autoencoder with Self-Attention for Bearing Fault Diagnosis
Daehee Lee, Hyunseung Choo, Jongpil Jeong
Sensors (2024) Vol. 24, Iss. 15, pp. 4855-4855
Open Access | Times Cited: 3
Bearing Fault Diagnosis Based on Artificial Intelligence Methods: Machine Learning and Deep Learning
A. Ghorbel, Sarra Eddai, Bouthayna Limam, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 3
Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis
Xudong Li, Jianhua Zheng, Mingtao Li, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 450-450
Open Access | Times Cited: 21
Stator Winding Fault Detection and Classification in Three-Phase Induction Motor
Majid Hussain
Intelligent Automation & Soft Computing (2021) Vol. 29, Iss. 3, pp. 869-883
Open Access | Times Cited: 21
Multi-Scale Convolutional Recurrent Neural Network for Bearing Fault Detection in Noisy Manufacturing Environments
Seokju Oh, Seugmin Han, Jongpil Jeong
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 3963-3963
Open Access | Times Cited: 20
Acoustic detection of bearing faults through fractional harmonics lock-in amplification
Ma. del Rosario Bautista-Morales, Luis David Patiño Lopez
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109740-109740
Closed Access | Times Cited: 15
Roller Bearing Failures Classification with Low Computational Cost Embedded Machine Learning
M. Bertocco, Ada Fort, Elia Landi, et al.
(2022), pp. 12-17
Closed Access | Times Cited: 15
Robust Active Learning Multiple Fault Diagnosis of PMSM Drives With Sensorless Control Under Dynamic Operations and Imbalanced Datasets
Sveinung Attestog, Jagath Sri Lal Senanayaka, Huynh Van Khang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 9, pp. 9291-9301
Open Access | Times Cited: 14
A Study of Noise Effect in Electrical Machines Bearing Fault Detection and Diagnosis Considering Different Representative Feature Models
Dimitrios A. Moysidis, Georgios D. Karatzinis, Yiannis S. Boutalis, et al.
Machines (2023) Vol. 11, Iss. 11, pp. 1029-1029
Open Access | Times Cited: 8
Bearing fault feature extraction method: stochastic resonance-based negative entropy of square envelope spectrum
Haixin Zhao, Xiaomo Jiang, Bo Wang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 4, pp. 045102-045102
Closed Access | Times Cited: 8
Research on a Rolling Bearing Fault Detection Method With Wavelet Convolution Deep Transfer Learning
Mengliang Liao, Chang Liu, Cong Wang, et al.
IEEE Access (2021) Vol. 9, pp. 45175-45188
Open Access | Times Cited: 19
Robust and Explainable Fault Diagnosis With Power-Perturbation-Based Decision Boundary Analysis of Deep Learning Models
Minseon Gwak, Min Su Kim, Jong Pil Yun, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 6982-6992
Closed Access | Times Cited: 13
A Hybrid 1D-CNN-Bi-LSTM based Model with Spatial Dropout for Multiple Fault Diagnosis of Roller Bearing
Gangavva Choudakkanavar, J. Alamelu Mangai
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 8
Open Access | Times Cited: 12
A new deep learning model combining CNN for engine fault diagnosis
Eyüp Sönmez, Sezgin Kaçar, Süleyman Uzun
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 12
Closed Access | Times Cited: 7
A Generalised Intelligent Bearing Fault Diagnosis Model Based on a Two-Stage Approach
Amirmasoud Kiakojouri, Zudi Lu, Patrick Mirring, et al.
Machines (2024) Vol. 12, Iss. 1, pp. 77-77
Open Access | Times Cited: 2
Improved multiscale coded dispersion entropy: a novel quadratic-coded health indicator of rolling bearings
Yanxi Fan, Rui Yuan, Yong Lv, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086120-086120
Closed Access | Times Cited: 2
IoT FOR PREDICTIVE MAINTENANCE OF CRITICAL MEDICAL EQUIPMENT IN A HOSPITAL STRUCTURE
Maroua Guissi, My Hachem El Yousfi Alaoui, Larbi Belarbi, et al.
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska (2024) Vol. 14, Iss. 2, pp. 71-76
Open Access | Times Cited: 2
Fault Diagnosis Method for Tractor Transmission System Based on Improved Convolutional Neural Network–Bidirectional Long Short-Term Memory
Liyou Xu, Guoxiang Zhao, Sixia Zhao, et al.
Machines (2024) Vol. 12, Iss. 7, pp. 492-492
Open Access | Times Cited: 2
Cost effective detection of uneven mounting fault in rotary wing drone motors with a CNN based method
Nurdoğan Ceylan, Eyüp Sönmez, Sezgin Kaçar
Signal Image and Video Processing (2024) Vol. 18, Iss. 11, pp. 8049-8059
Closed Access | Times Cited: 2
Prototype matching-based meta-learning model for few-shot fault diagnosis of mechanical system
Lin Lin, Sihao Zhang, Song Fu, et al.
Neurocomputing (2024), pp. 129012-129012
Closed Access | Times Cited: 2
A Novel Method for Fault Migration Diagnosis of Rolling Bearings Based on MSCVIT Model
Xiuyan Liu, Dengfa He, Deyang Guo, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4726-4726
Open Access | Times Cited: 2
Light-Weight CNN Enabled Edge-Based Framework for Machine Health Diagnosis
Indrani Mukherjee, Siddharth Tallur
IEEE Access (2021) Vol. 9, pp. 84375-84386
Open Access | Times Cited: 16
An Adaptive Modeling Framework for Bearing Failure Prediction
Yuntian Zhao, Maxwell Toothman, James Moyne, et al.
Electronics (2022) Vol. 11, Iss. 2, pp. 257-257
Open Access | Times Cited: 11
Transfer learning based deep learning model and control chart for bearing useful life prediction
Fu‐Kwun Wang, William Gomez, Zemenu Endalamaw Amogne, et al.
Quality and Reliability Engineering International (2023) Vol. 39, Iss. 3, pp. 837-852
Closed Access | Times Cited: 6
Low-Frequency Adaptation-Deep Neural Network-Based Domain Adaptation Approach for Shaft Imbalance Fault Diagnosis
Jatin Kumar Arora, Sudhar Rajagopalan, Jaskaran Singh, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 1, pp. 375-394
Closed Access | Times Cited: 6

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