Get started
Author

Bingyan Chen

Observed names: Bing-Yan Chen, Bingyan CHEN, Chen Bing-Yan, Chen Bing-yan
Observed institutions: Changchun University of Science and Technology, University of Huddersfield, North China Electric Power University, Hohai University, Peking University, China University of Petroleum, Beijing, Chinese Academy of Geological Sciences, China North Industries Group Corporation (China), Henan University of Technology, Fujian Academy of Agricultural Sciences, Dalian Maritime University, State Key Laboratory of Traction Power, Ministry of Emergency Management of the People's Republic of China, Qingdao Technical College, China Academy of Aerospace Aerodynamics, Southwest Jiaotong University
ORCID: 0000-0001-7103-0221
Observed ORCID: 0000-0001-7103-0221
OpenAlex ID: A5102984094
An improved envelope spectrum via candidate fault frequency optimization-gram for bearing fault diagnosis
2022 · Yao Cheng, Shengbo Wang, et al. · Journal of Sound and Vibration · 229
Product envelope spectrum optimization-gram: An enhanced envelope analysis for rolling bearing fault diagnosis
2023 · Bingyan Chen, Weihua Zhang, et al. · Mechanical Systems and Signal Processing · 202
PDF
An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis
2019 · Yao Cheng, Zhiwei Wang, et al. · ISA Transactions · 198
Adaptive Multipoint Optimal Minimum Entropy Deconvolution Adjusted and Application to Fault Diagnosis of Rolling Element Bearings
2019 · Yao Cheng, Bingyan Chen, et al. · IEEE Sensors Journal · 98
Optimal frequency band selection using blind and targeted features for spectral coherence-based bearing diagnostics: A comparative study
2021 · Bingyan Chen, Yao Cheng, et al. · ISA Transactions · 83
A novel blind deconvolution method and its application to fault identification
2019 · Yao Cheng, Bingyan Chen, et al. · Journal of Sound and Vibration · 79
CFFsBD: A Candidate Fault Frequencies-Based Blind Deconvolution for Rolling Element Bearings Fault Feature Enhancement
2023 · Yao Cheng, Ning Zhou, et al. · IEEE Transactions on Instrumentation and Measurement · 77
A performance enhanced time-varying morphological filtering method for bearing fault diagnosis
2021 · Bingyan Chen, Dongli Song, et al. · Measurement · 76
Blind deconvolution assisted with periodicity detection techniques and its application to bearing fault feature enhancement
2020 · Bingyan Chen, Weihua Zhang, et al. · Measurement · 73
Ultra-sensitive graphene Hall elements
2014 · Le Huang, Zhiyong Zhang, et al. · Applied Physics Letters · 64
Flicker noise and magnetic resolution of graphene hall sensors at low frequency
2013 · Huilong Xu, Le Huang, et al. · Applied Physics Letters · 60
IGIgram: An Improved Gini Index-Based Envelope Analysis for Rolling Bearing Fault Diagnosis
2022 · Bingyan Chen, Dongli Song, et al. · Journal of Dynamics Monitoring and Diagnostics · 53
PDF
Investigations on improved Gini indices for bearing fault feature characterization and condition monitoring
2022 · Bingyan Chen, Yao Cheng, et al. · Mechanical Systems and Signal Processing · 52
Enhanced bearing fault diagnosis using integral envelope spectrum from spectral coherence normalized with feature energy
2021 · Bingyan Chen, Yao Cheng, et al. · Measurement · 51
A product envelope spectrum generated from spectral correlation/coherence for railway axle-box bearing fault diagnosis
2024 · Bingyan Chen, Yao Cheng, et al. · Mechanical Systems and Signal Processing · 50
A full generalization of the Gini index for bearing condition monitoring
2022 · Bingyan Chen, Dongli Song, et al. · Mechanical Systems and Signal Processing · 45
PDF
CFFsgram: A candidate fault frequencies-based optimal demodulation band selection method for axle-box bearing fault diagnosis
2022 · Ning Zhou, Yao Cheng, et al. · Measurement · 41
Meta-Learning-Based Graph Convolutional Wavelet Network for Intelligent Dynamic Modeling of High-Speed Rail Subsystems
2026 · Jingke Yan, Bingyan Chen, et al. · IEEE Transactions on Vehicular Technology · 40
A novel drum-shaped metastructure aided weak signal enhancement method for bearing fault diagnosis
2024 · Yubin Lin, Shiqing Huang, et al. · Mechanical Systems and Signal Processing · 38
PDF
Probability distributions and typical sparsity measures of Hilbert transform-based generalized envelopes and their application to machine condition monitoring
2024 · Bingyan Chen, Wade A. Smith, et al. · Mechanical Systems and Signal Processing · 36
PDF
Enhanced spectral coherence and its application to bearing fault diagnosis
2021 · Yao Cheng, Bingyan Chen, et al. · Measurement · 35
A novel spectral coherence-based envelope spectrum for railway axle-box bearing damage identification
2022 · Bingyan Chen, Dongli Song, et al. · Structural Health Monitoring · 34
Generalized Statistical Indicators-Guided Signal Blind Deconvolution for Fault Diagnosis of Railway Vehicle Axle-Box Bearings
2024 · Bingyan Chen, Yao Cheng, et al. · IEEE Transactions on Vehicular Technology · 33
Squared envelope sparsification via blind deconvolution and its application to railway axle bearing diagnostics
2023 · Bingyan Chen, Weihua Zhang, et al. · Structural Health Monitoring · 33
PDF
Investigation on enhanced mathematical morphological operators for bearing fault feature extraction
2021 · Bingyan Chen, Yao Cheng, et al. · ISA Transactions · 32
Works count: 92
Citation count: 2,156
H-index: 26
I10-index: 39
Year
Topic
Type