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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:

Enhanced periodic mode decomposition and its application to composite fault diagnosis of rolling bearings
Jian Cheng, Yu Yang, Haidong Shao, et al.
ISA Transactions (2021) Vol. 125, pp. 474-491
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Intelligent fault detection scheme for constant-speed wind turbines based on improved multiscale fuzzy entropy and adaptive chaotic Aquila optimization-based support vector machine
Zhenya Wang, Gaosong Li, Ligang Yao, et al.
ISA Transactions (2023) Vol. 138, pp. 582-602
Closed Access | Times Cited: 60
An Adaptive Domain Adaptation Method for Rolling Bearings’ Fault Diagnosis Fusing Deep Convolution and Self-Attention Networks
Xiao Yu, Youjie Wang, Zhongting Liang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 46
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples
Zhenya Wang, Qiusheng Luo, Hui Chen, et al.
Computers in Industry (2024) Vol. 159-160, pp. 104099-104099
Closed Access | Times Cited: 35
Maximum Ramanujan Spectrum Signal-to-Noise Ratio Deconvolution Method: Algorithm and Applications
Jian Cheng, Haiyang Pan, Jinde Zheng
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 11977-11986
Closed Access | Times Cited: 18
Spectral envelope-based adaptive empirical Fourier decomposition method and its application to rolling bearing fault diagnosis
Jinde Zheng, Shijun Cao, Haiyang Pan, et al.
ISA Transactions (2022) Vol. 129, pp. 476-492
Closed Access | Times Cited: 52
A novel time-frequency slice extraction method for target recognition and local enhancement of non-stationary signal features
Chaoyong Ma, Liang Chen, Zuhua Jiang, et al.
ISA Transactions (2024) Vol. 146, pp. 319-335
Closed Access | Times Cited: 13
Improved SE-ResNet Acoustic–Vibration Fusion for Rolling Bearing Composite Fault Diagnosis
Xiaojiao Gu, Yang Tian, Chi Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2182-2182
Open Access | Times Cited: 10
Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning
Zhiquan Cui, Yanlin Lu, Yan Xu, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123969-123969
Closed Access | Times Cited: 10
Reduced Mode Decomposition: A New Signal Decomposition Method
Jian Cheng, Haiyang Pan, Jinyu Tong, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 9
Adaptive minimum noise amplitude deconvolution and its application for early fault diagnosis of rolling bearings
Xuyang Xie, Lei Zhang, Jintao Wang, et al.
Applied Acoustics (2024) Vol. 220, pp. 109962-109962
Closed Access | Times Cited: 8
Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix
Xin Li, Yu Yang, Niaoqing Hu, et al.
Advanced Engineering Informatics (2022) Vol. 51, pp. 101513-101513
Closed Access | Times Cited: 33
Periodic component pursuit-based kurtosis deconvolution and its application in roller bearing compound fault diagnosis
Haiyang Pan, Xuelin Yin, Jian Cheng, et al.
Mechanism and Machine Theory (2023) Vol. 185, pp. 105337-105337
Closed Access | Times Cited: 21
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
Feature extraction of rolling bearing multiple faults based on correlation coefficient and Hjorth parameter
Mingyue Yu, Minghe Fang
ISA Transactions (2022) Vol. 129, pp. 442-458
Closed Access | Times Cited: 26
Frequency domain guided latent diffusion model for domain generalization in cross-machine fault diagnosis
Xiaolin Liu, Fuzheng Liu, Xiangyi Geng, et al.
Measurement (2025), pp. 116989-116989
Closed Access
An adaptive morphological filtering and feature enhancement method for spindle motor bearing fault diagnosis
Hao Zhou, Jianzhong Yang, Hua Xiang, et al.
Applied Acoustics (2023) Vol. 209, pp. 109400-109400
Closed Access | Times Cited: 11
Compound fault diagnosis of wind turbine bearing under ultra-low speed operations using generalized sparse spectral coherence
Zhipeng Ma, Ming Zhao, Xuebin Dai, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111027-111027
Closed Access | Times Cited: 11
Ramanujan Fourier Mode Decomposition and Its Application in Gear Fault Diagnosis
Jian Cheng, Yu Yang, Zhantao Wu, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 9, pp. 6079-6088
Closed Access | Times Cited: 26
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
A novel feature extraction method: iterative Ramanujan Fourier mixture spectrum
Jian Cheng, Haiyang Pan, Jinde Zheng
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3299-3311
Closed Access | Times Cited: 3
Impact time domain decomposition: An adaptive decomposition method for multi-source impact signals based on envelope energy gradient characteristics
Yuyang Chen, Jinjie Zhang, Nanyang Zhao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 219, pp. 111637-111637
Closed Access | Times Cited: 2
Symplectic Ramanujan Mode Decomposition and its application to compound fault diagnosis of bearings
Jian Cheng, Yu Yang, Xiaowei Wu, et al.
ISA Transactions (2021) Vol. 129, pp. 495-503
Closed Access | Times Cited: 14
Empirical Ramanujan decomposition and iterative envelope spectrum for fault diagnosis
Jian Cheng, Yu Yang, Niaoqing Hu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115111-115111
Closed Access | Times Cited: 4
Adaptive Composite Fault Diagnosis of Rolling Bearings Based on the CLNGO Algorithm
Sen Yu, Jie Ma
Processes (2022) Vol. 10, Iss. 12, pp. 2532-2532
Open Access | Times Cited: 7
SRMANet: Toward an Interpretable Neural Network with Multi-Attention Mechanism for Gearbox Fault Diagnosis
Siyuan Liu, Jinying Huang, Jiancheng Ma, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8388-8388
Open Access | Times Cited: 6
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