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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:

Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox Fault Diagnosis
Lin Wang, Gaigai Cai, Jun Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2018) Vol. 68, Iss. 2, pp. 450-461
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery
Haidong Shao, Min Xia, Jiafu Wan, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 1, pp. 24-33
Open Access | Times Cited: 168
Bearing fault diagnosis via generalized logarithm sparse regularization
Ziwei Zhang, Weiguo Huang, Yi Liao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108576-108576
Closed Access | Times Cited: 167
Central frequency mode decomposition and its applications to the fault diagnosis of rotating machines
Xingxing Jiang, Qiuyu Song, Haien Wang, et al.
Mechanism and Machine Theory (2022) Vol. 174, pp. 104919-104919
Closed Access | Times Cited: 101
Multi-source fidelity sparse representation via convex optimization for gearbox compound fault diagnosis
Weiguo Huang, Zeshu Song, Cheng Zhang, et al.
Journal of Sound and Vibration (2020) Vol. 496, pp. 115879-115879
Closed Access | Times Cited: 69
Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis
Weiguo Huang, Ning Li, Ivan Selesnick, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 7, pp. 4863-4872
Closed Access | Times Cited: 68
Machinery Health Monitoring Based on Unsupervised Feature Learning via Generative Adversarial Networks
Jun Dai, Jun Wang, Weiguo Huang, et al.
IEEE/ASME Transactions on Mechatronics (2020) Vol. 25, Iss. 5, pp. 2252-2263
Closed Access | Times Cited: 63
Graph-based semi-supervised random forest for rotating machinery gearbox fault diagnosis
Shaozhi Chen, Rui Yang, Maiying Zhong
Control Engineering Practice (2021) Vol. 117, pp. 104952-104952
Closed Access | Times Cited: 55
Wind Turbine Gearbox Failure Detection Based on SCADA Data: A Deep Learning-Based Approach
Luoxiao Yang, Zijun Zhang
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 54
Coupling fault diagnosis of wind turbine gearbox based on multitask parallel convolutional neural networks with overall information
Sheng Guo, Tao Yang, Haochen Hua, et al.
Renewable Energy (2021) Vol. 178, pp. 639-650
Closed Access | Times Cited: 42
Feature extraction of gear and bearing compound faults based on vibration signal sparse decomposition
Guolin He, Jianlin Li, Kang Ding, et al.
Applied Acoustics (2022) Vol. 189, pp. 108604-108604
Closed Access | Times Cited: 37
A Novel Impact Feature Extraction Method Based on EMD and Sparse Decomposition for Gear Local Fault Diagnosis
Zhongze Liu, Kang Ding, Huibin Lin, et al.
Machines (2022) Vol. 10, Iss. 4, pp. 242-242
Open Access | Times Cited: 34
A deep capsule neural network with data augmentation generative adversarial networks for single and simultaneous fault diagnosis of wind turbine gearbox
Pengfei Liang, Chao Deng, Xiaoming Yuan, et al.
ISA Transactions (2022) Vol. 135, pp. 462-475
Closed Access | Times Cited: 31
Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis
Xingxing Jiang, Qiuyu Song, Qian Wang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102494-102494
Closed Access | Times Cited: 7
Transient extraction based on minimax concave regularized sparse representation for gear fault diagnosis
Weiguo Huang, Shijun Li, Xiangyu Fu, et al.
Measurement (2019) Vol. 151, pp. 107273-107273
Closed Access | Times Cited: 52
Fast Sparsity-Assisted Signal Decomposition With Nonconvex Enhancement for Bearing Fault Diagnosis
Zhibin Zhao, Shibin Wang, David Wong, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 4, pp. 2333-2344
Closed Access | Times Cited: 39
Study on Gearbox Fault Warning Based on the Improved M-IALO-GRU Model
Yunhao Wang, Wenlei Sun, Han Liu, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3175-3175
Open Access
Periodicity-constrained reweighted generalized minimax-concave regularization and its application in gearbox fault diagnosis
Lichao Yu, Chenglong Wang, Cunfu Wang, et al.
Signal Processing (2025), pp. 110005-110005
Closed Access
A wind turbine frequent principal fault detection and localization approach with imbalanced data using an improved synthetic oversampling technique
Na Jiang, Ning Li
International Journal of Electrical Power & Energy Systems (2020) Vol. 126, pp. 106595-106595
Closed Access | Times Cited: 37
Periodical sparse low-rank matrix estimation algorithm for fault detection of rolling bearings
Baoxiang Wang, Yuhe Liao, Chuancang Ding, et al.
ISA Transactions (2020) Vol. 101, pp. 366-378
Closed Access | Times Cited: 35
A Relation-based Semi-supervised Method for Gearbox Fault Diagnosis with Limited Labeled Samples
Hulin Ruan, Yi Wang, Xiaomeng Li, et al.
IEEE Transactions on Instrumentation and Measurement (2021), pp. 1-1
Closed Access | Times Cited: 28
Data Augmentation via Randomized Wavelet Expansion and Its Application in Few-Shot Fault Diagnosis of Aviation Hydraulic Pumps
Minghang Zhao, Xuyun Fu, Yongjian Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-13
Closed Access | Times Cited: 28
A new synergy of singular spectrum analysis with a conscious algorithm to detect faults in industrial robotics
Riyadh Nazar Ali Algburi, Hongli Gao, Zaid Al‐Huda
Neural Computing and Applications (2022) Vol. 34, Iss. 10, pp. 7565-7580
Closed Access | Times Cited: 19
Morphological component analysis under non-convex smoothing penalty framework for gearbox fault diagnosis
Ziwei Zhang, Weiguo Huang, Jun Wang, et al.
ISA Transactions (2023) Vol. 143, pp. 525-535
Closed Access | Times Cited: 12
An operating condition information-guided iterative variational mode decomposition method based on Mahalanobis distance criterion for surge characteristic frequency extraction of the centrifugal compressor
Yaochun Hou, Peng Wu, Dazhuan Wu
Mechanical Systems and Signal Processing (2022) Vol. 186, pp. 109836-109836
Closed Access | Times Cited: 17
Vibration modulation features analysis of fixed-shaft gear train considering speed fluctuation and flexible transmission path based on signal convolution model
Fei Jiang, Yong Zhu, Jinglun Liang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111250-111250
Closed Access | Times Cited: 3
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