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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:

Health condition identification for rolling bearing based on hierarchical multiscale symbolic dynamic entropy and least squares support tensor machine–based binary tree
Cheng Yang, Minping Jia
Structural Health Monitoring (2020) Vol. 20, Iss. 1, pp. 151-172
Closed Access | Times Cited: 25

Showing 25 citing articles:

Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds
Xin Li, Haidong Shao, Hongkai Jiang, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 2, pp. 339-353
Closed Access | Times Cited: 66
An effective health indicator for the Pelton wheel using a Levy flight mutated genetic algorithm
Govind Vashishtha, Rajesh Kumar
Measurement Science and Technology (2021) Vol. 32, Iss. 9, pp. 094003-094003
Closed Access | Times Cited: 56
A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 5, pp. 4711-4764
Closed Access | Times Cited: 43
Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis
Junchao Guo, Qingbo He, Dong Zhen, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108969-108969
Open Access | Times Cited: 38
Fatigue condition diagnosis of rolling bearing based on normalized balanced multiscale sample entropy
Hongchuang Tan, Suchao Xie, Runda Liu, et al.
International Journal of Fatigue (2023) Vol. 172, pp. 107642-107642
Closed Access | Times Cited: 16
Improved KW entropy: a complexity measurement technique for time series and its application in feature extraction of quay crane gearbox
Chunxia Gu, Juan Bi, Bing Wang
Neural Computing and Applications (2025)
Closed Access
Intelligent fault diagnosis of wind turbine gearboxes based on refined generalized multi-scale state joint entropy and robust spectral feature selection
Wei Dong, Shuqing Zhang, Mengfei Hu, et al.
Nonlinear Dynamics (2022) Vol. 107, Iss. 3, pp. 2485-2517
Closed Access | Times Cited: 24
Sensible multiscale symbol dynamic entropy for fault diagnosis of bearing
Hongchuang Tan, Suchao Xie, Hui Zhou, et al.
International Journal of Mechanical Sciences (2023) Vol. 256, pp. 108509-108509
Closed Access | Times Cited: 15
Application of improved bubble entropy and machine learning in the adaptive diagnosis of rotating machinery faults
Jiancheng Gong, Xiaoqiang Yang, Kun Qian, et al.
Alexandria Engineering Journal (2023) Vol. 80, pp. 22-40
Open Access | Times Cited: 13
Enhanced hierarchical symbolic dynamic entropy and maximum mean and covariance discrepancy-based transfer joint matching with Welsh loss for intelligent cross-domain bearing health monitoring
Cheng Yang, Minping Jia, Li Zhi, et al.
Mechanical Systems and Signal Processing (2021) Vol. 165, pp. 108343-108343
Closed Access | Times Cited: 31
A Novel Weak Feature Extraction Method for Rotating Machinery: Link Dispersion Entropy
Li Ding, Jinchen Ji, Yongbo Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 12
A novel scheme based on modified hierarchical time-shift multi-scale amplitude-aware permutation entropy for rolling bearing condition assessment and fault recognition
Zhe Li, Longlong Li, Runlin Chen, et al.
Measurement (2023) Vol. 224, pp. 113907-113907
Closed Access | Times Cited: 10
Entropy Indicators: An Approach for Low-Speed Bearing Diagnosis
Diego Sandoval, Urko Leturiondo, Yolanda Vidal, et al.
Sensors (2021) Vol. 21, Iss. 3, pp. 849-849
Open Access | Times Cited: 20
How to mine the abnormal information of power transformers: An efficient tool for quantifying the fault characteristics via multi-vibration signals
Z.X. Zhao, Fei Chen, Pengfei Lan, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102561-102561
Closed Access | Times Cited: 2
Low-Speed Bearing Fault Diagnosis Based on Permutation and Spectral Entropy Measures
Diego Sandoval, Urko Leturiondo, Francesc Pozo, et al.
Applied Sciences (2020) Vol. 10, Iss. 13, pp. 4666-4666
Open Access | Times Cited: 13
Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification
Hao Song, Rui Yuan, Yong Lv, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 4, pp. 2651-2673
Closed Access | Times Cited: 8
Refined composite hierarchical multiscale Lempel-Ziv complexity: A quantitative diagnostic method of multi-feature fusion for rotating energy devices
Zhigao Zhao, Fei Chen, Zhonghua Gui, et al.
Renewable Energy (2023) Vol. 218, pp. 119310-119310
Closed Access | Times Cited: 4
Multichannel Fault Diagnosis of Planetary Gearbox via Difference-Average Symbol Transition Entropy and Twin Support Higher-Order Tensor Machine
Cheng Yang, Qingbo He, Li Zhi, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 1
Bearing early fault identification and condition monitoring based on dynamic difference index
Yicong Hui, Yanchao Zhang, Runlin Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056115-056115
Closed Access | Times Cited: 1
Refined composite multiscale dynamic causality diagram: a novel time-series analysis approach and its application in fault diagnosis of rotating machinery
Wei Dong, Shuqing Zhang, Shanshan Song, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 2980-3006
Closed Access
Tensor Poincaré plot index: A novel nonlinear dynamic method for extracting abnormal state information of pumped storage units
Fei Chen, Ding Chen, Xiaoxi Hu, et al.
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110607-110607
Closed Access
Degradation state identification for hydraulic pumps using modified hierarchical decomposition and image processing
Mochao Pei, Hongru Li, He Yu
Measurement and Control (2021) Vol. 55, Iss. 1-2, pp. 21-34
Open Access | Times Cited: 3
Damage Detection of Regular Civil Buildings Using Modified Multi-Scale Symbolic Dynamic Entropy
Tzu‐Kang Lin, Dong-You Lee, Yu-Chung Hsu, et al.
Entropy (2022) Vol. 24, Iss. 7, pp. 987-987
Open Access | Times Cited: 1
Improved KW entropy: a complexity measurement technique for time-series and its application in feature extraction of quay crane gearbox
Chunxia Gu, Juan Bi, Bing Wang
Research Square (Research Square) (2023)
Open Access
Intelligent Fault Diagnosis of Wind Turbine Gearbox based on Refined Generalized Multi-scale State Joint Entropy and RSFS Feature Selection
Wei Dong, Shuqing Zhang, Mengfei Hu, et al.
Research Square (Research Square) (2021)
Open Access
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