World's Best Scientists 2026 revealed!
Junsheng Cheng

Junsheng Cheng

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
6714
World Ranking
7299
National Ranking
1330

Overview

Junsheng Cheng is affiliated with Hunan University in China and works primarily in the field of Engineering. Their research focuses on several subfields, including Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Electrical and Electronic Engineering, and Molecular Biology.

The main topics of Junsheng Cheng's research include:

  • Machine Fault Diagnosis Techniques
  • Gear and Bearing Dynamics Analysis
  • Engineering Diagnostics and Reliability
  • Fault Detection and Control Systems
  • Structural Health Monitoring Techniques
  • Advanced Machining Processes and Optimization
  • Fuel Cells and Related Materials

Junsheng Cheng has published extensively in several key venues. Frequent publication venues include:

  • Measurement
  • Mechanical Systems and Signal Processing
  • Measurement Science and Technology
  • Mechanism and Machine Theory
  • IEEE/ASME Transactions on Mechatronics

Their notable recent papers include:

  • "Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information" (2022, IEEE/ASME Transactions on Mechatronics)
  • "Degradation prediction model for proton exchange membrane fuel cells based on long short-term memory neural network and Savitzky-Golay filter" (2021, International Journal of Hydrogen Energy)
  • "A noise reduction method based on adaptive weighted symplectic geometry decomposition and its application in early gear fault diagnosis" (2020, Mechanical Systems and Signal Processing)
  • "Adaptive periodic mode decomposition and its application in rolling bearing fault diagnosis" (2021, Mechanical Systems and Signal Processing)
  • "Data-driven flooding fault diagnosis method for proton-exchange membrane fuel cells using deep learning technologies" (2021, Energy Conversion and Management)

Junsheng Cheng has collaborated frequently with several researchers, reflecting a multidisciplinary approach to their work. Frequent co-authors include:

  • Yu Yang
  • Jian Cheng
  • Xin Li
  • Haidong Shao
  • Yanli Ma

Best Publications

  • Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings

    Dejie Yu;Junsheng Cheng;Yu Yang

  • A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM

    Yu Yang;Dejie Yu;Junsheng Cheng

  • An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis

    Wenyi Huang;Junsheng Cheng;Yu Yang;Gaoyuan Guo

  • Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

    Jinde Zheng;Haiyang Pan;Junsheng Cheng

  • A rolling bearing fault diagnosis approach based on LCD and fuzzy entropy

    Jinde Zheng;Junsheng Cheng;Yu Yang

  • Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis

    Haiyang Pan;Haiyang Pan;Yu Yang;Xin Li;Jinde Zheng

  • A rotating machinery fault diagnosis method based on local mean decomposition

    Unknown

  • Partly ensemble empirical mode decomposition: An improved noise-assisted method for eliminating mode mixing

    Jinde Zheng;Junsheng Cheng;Yu Yang

  • A rolling bearing fault diagnosis method based on multi-scale fuzzy entropy and variable predictive model-based class discrimination

    Jinde Zheng;Junsheng Cheng;Yu Yang;Songrong Luo

  • Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples

    Zhiyi He;Haidong Shao;Haidong Shao;Ping Wang;Janet (Jing) Lin

  • Application of support vector regression machines to the processing of end effects of Hilbert Huang transform

    Junsheng Cheng;Dejie Yu;Yu Yang

  • Application of frequency family separation method based upon EMD and local Hilbert energy spectrum method to gear fault diagnosis

    Junsheng Cheng;Dejie Yu;Jiashi Tang;Yu Yang

  • Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information

    Unknown

  • Generalized composite multiscale permutation entropy and Laplacian score based rolling bearing fault diagnosis

    Jinde Zheng;Haiyang Pan;Shubao Yang;Junsheng Cheng

  • An ensemble local means decomposition method and its application to local rub-impact fault diagnosis of the rotor systems

    Yu Yang;Junsheng Cheng;Kang Zhang

  • Application of time–frequency entropy method based on Hilbert–Huang transform to gear fault diagnosis

    Dejie Yu;Yu Yang;Junsheng Cheng

  • Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis

    Jinde Zheng;Haiyang Pan;Shubao Yang;Junsheng Cheng

  • Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine

    Zhiyi He;Haidong Shao;Ziyang Ding;Hongkai Jiang

  • Generalized empirical mode decomposition and its applications to rolling element bearing fault diagnosis

    Jinde Zheng;Junsheng Cheng;Yu Yang

  • Local rub-impact fault diagnosis of the rotor systems based on EMD

    Junsheng Cheng;Dejie Yu;Jiashi Tang;Yu Yang

  • Degradation prediction model for proton exchange membrane fuel cells based on long short-term memory neural network and Savitzky-Golay filter

    Unknown

  • A gear fault diagnosis using Hilbert spectrum based on MODWPT and a comparison with EMD approach

    Yu Yang;Yigang He;Junsheng Cheng;Dejie Yu

  • An order tracking technique for the gear fault diagnosis using local mean decomposition method

    Junsheng Cheng;Kang Zhang;Yu Yang

  • Data-driven flooding fault diagnosis method for proton-exchange membrane fuel cells using deep learning technologies

    Unknown

Frequent Co-Authors

Haidong Shao
Haidong Shao Hunan University
Dejie Yu
Dejie Yu Hunan University
Kenli Li
Kenli Li Hunan University
Hongkai Jiang
Hongkai Jiang Northwestern Polytechnical University

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