百晓学者学者目录

程军圣

湖南大学机械与运载工程学院

个人简介

程军圣，湖南大学机械与运载工程学院教授、博士生导师，研究方向为工业通用技术及设备、机械工业、无线电电子学。主要开展机械故障诊断方法研究，代表性成果包括基于局部特征尺度分解（LCD）、GP-SSD、SPCA/OCHD等的旋转机械故障特征提取与早期微弱故障检测方法，以及风力发电机在线状态监测仪设计与应用。

精选作品

期刊论文

  1. Jianxin Cui, Junsheng Cheng, Mengyu Liu, Zhengyang Cheng, Chengcheng Duan (2026). A two-stage semi-supervised domain generalization network for fault diagnosis under unknown working conditions. Reliability Engineering & System Safety, Vol. 267.DOI
  2. 李子健，胡海峰，程军圣，边子方，黄文康（2026）. 基于传感器脉冲波形的叶片振动盲重构方法. 《噪声与振动控制》.
  3. Wen-Yi Huang, Yong Yang, Junsheng Cheng (2026). Stable vibration: A text-driven conditional diffusion framework for high-fidelity rolling-bearing vibration signal generation. Mechanical systems and signal processing.DOI
  4. Weixing Yang, Qi-Bo Wang, Nanyang Su, Xianbin Zheng, Yu Yang, Junsheng Cheng (2026). Improved group sparse decomposition and its application in gear fault diagnosis. Journal of Vibration and Control.DOI
  5. Ziyang Ding, Fucai Li, Xiaolei Xu, Junsheng Cheng (2026). Improved spatiotemporal intrinsic mode decomposition method and its application in gear fault diagnosis. Structural Health Monitoring.DOI
  6. Zhengyang Cheng, Jie Zhou, Haidong Shao, Yu Yang, Junsheng Cheng (2026). Fast multivariate all time-scale decomposition method and its application in gear fault diagnosis. Structural Health Monitoring.DOI
  7. Zhongfeng Pan, Jinhui Ma, Haitao Zhang, Xingkai Yang, Junsheng Cheng, Kai Feng (2026). An improved adaptive harmonic decomposition method and its application to gear crack severity assessment. Structural Health Monitoring.DOI
  8. Xianbin Zheng, Mengyu Liu, Jinchao Jiang, Junsheng Cheng, Yi Yang (2026). Geometric algebra singular spectrum analysis: A novel multivariate signal decomposition method. Mechanical Systems and Signal Processing.DOI
  9. Jianxin Cui, Xin Kang, Mengyu Liu, Junsheng Cheng, Chengcheng Duan (2026). A single-source domain generalization method based on multi-pseudo domain generation and feature disentanglement. Neurocomputing.DOI
  10. Xin Kang, Zhengyang Cheng, Zhengyang Cheng, Yi Gong, Junsheng Cheng, Yu Yang (2026). Spectrum-envelope attention-driven adaptive time-frequency enhancement network and its application in trustworthy cross-machine fault diagnosis. Engineering Applications of Artificial Intelligence.DOI
  11. Xianbin Zheng, Hongkang Wu, Dun Jin, Junsheng Cheng, Yu Yang (2026). Geometric algebra symplectic singular decomposition: A novel multivariate signal decomposition method for gear fault diagnosis. Digital Signal Processing.DOI
  12. Xin Kang, Jianxin Cui, Junsheng Cheng, Yu Yang, Qiyao Liu (2026). Spectrum sparsity-driven learnable wavelet packet transform for denoising and its application in fault diagnosis. Applied Soft Computing.DOI
  13. Xianbin Zheng, Zhengyang Cheng, Junsheng Cheng, Yu Yang (2026). Multivariate comb mode decomposition and its application in mechanical compound fault diagnosis. Structural Health Monitoring.DOI
  14. Feng Liu, Junsheng Cheng, Chen Duan, Dun Jin (2026). Spectral editing random mode decomposition and its application in gear fault diagnosis. Structural Health Monitoring.DOI
  15. Xianbin Zheng, Zhengyang Cheng, Liu Y, Yu Yang, Junsheng Cheng (2026). Fractional-Order Blaschke Mode Decomposition and Its Application in Fault Diagnosis of Variable-Speed Gearboxes. IEEE Transactions on Instrumentation and Measurement.DOI
  16. Xin Kang, Zhengyang Cheng, Chengcheng Duan, Junsheng Cheng, Yu Yang (2025). A novel interpretability paradigm based on semantic features of time-frequency images for trustworthy cross-machine fault diagnosis. Expert Systems With Applications, Vol. 285.DOI
  17. 左彬，董天航，张泽辉，王华珺，霍为炜，宫文峰，程军圣（2025）. 基于深度学习的质子交换膜燃料电池故障预测方法. 《华南理工大学学报(自然科学版)》.
  18. Weixin Yang, Qibo Wang, Nanyang Su, Feng Liu, Yu Yang, Junsheng Cheng (2025). Boundary-constrained empirical Fourier decomposition and its application in gear fault diagnosis. Measurement science and technology.DOI
  19. Cheng-Cheng Duan, Zhan-Tao Wu, Junsheng Cheng, Yu Yang (2025). Adaptive synchrosqueezing chirplet group decomposition and its application in gear fault diagnosis. Structural Health Monitoring.DOI
  20. Xianbin Zheng, Zhengyang Cheng, Junsheng Cheng, Yu Yang (2025). A Multivariate Blaschke-Based Mode Decomposition Approach for Gear Fault Diagnosis. Sensors.DOI
  21. Xianbin Zheng, Zhengyang Cheng, Junsheng Cheng, Chi Tin Hon, Yu Yang (2025). Blaschke learning machine: A novel and efficient continual learning classifier toward intelligent fault diagnosis. Mechanical Systems and Signal Processing.DOI
  22. Feng Liu, Zhengyang Cheng, Hongkang Wu, Junsheng Cheng (2025). A novel variable multilevel random feature decomposition method for gear fault diagnosis. Structural Health Monitoring.DOI
  23. Xin Kang, Junsheng Cheng, Yu Yang, Feng Liu (2025). Repetitive transient impact detection and its application in cross-machine fault detection of rolling bearings. Mechanical Systems and Signal Processing.DOI
  24. Feng Liu, Zhengyang Cheng, Zhengyang Cheng, Xin Kang, Junsheng Cheng (2025). Spectral denoising random feature decomposition and its application in gear fault diagnosis. Applied Acoustics.DOI
  25. Xianbin Zheng, Zhengyang Cheng, Junsheng Cheng, Yu Yang, Xingkai Yang (2025). Blaschke mode decomposition: algorithm and application. Structural Health Monitoring.DOI
  26. Xingkai Yang, Hao Zhang, Junsheng Cheng, Kai Feng (2025). Feature Enhancement-Driven Convolutional Neural Network and Its Application to Gear Crack Level Identification. IEEE Transactions on Instrumentation and Measurement.DOI
  27. 熊力，刘宁，童成彪，程军圣（2024）. 单向阀微弱内泄漏故障征提取与模式识别研究. 《机械科学与技术》.
  28. 胡爱孺，吴占涛，杨宇，程军圣（2024）. 基于自适应特征选择k子凸包的滚动轴承故障诊断. 《机械强度》.
  29. Feng Liu, Junsheng Cheng, Niao-Qing Hu, Zhe Cheng, Yu Yang (2024). A novel empirical random feature decomposition method and its application to gear fault diagnosis. Advanced Engineering Informatics.DOI
  30. Xianbin Zheng, Yu Yang, Niao-Qing Hu, Zhe Cheng, Junsheng Cheng (2024). A novel empirical reconstruction Gauss decomposition method and its application in gear fault diagnosis. Mechanical systems and signal processing.DOI
  31. Yanli Ma, Junsheng Cheng (2024). A novel joint denoising method for gear fault diagnosis with improved quaternion singular value decomposition. Measurement.DOI
  32. Xianbin Zheng, Yu Yang, Niao-Qing Hu, Zhe Cheng, Junsheng Cheng (2024). Blaschke transform-based Weight Soft Voting Denoise Method and its applications in gear fault diagnosis. Mechanical systems and signal processing.DOI
  33. Zhengyang Cheng, Yu Yang, Niaoqing Hu, Zhe Cheng, Junsheng Cheng (2024). All time-scale decomposition method and its application in gear fault diagnosis. Structural Health Monitoring.DOI
  34. Yanfei Liu, Junsheng Cheng, Yu Yang, Jinde Zheng, Haiyang Pan, Xingkai Yang, Guangfu Bin, Yiping Shen (2024). Symplectic Sparsest Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis. IEEE Sensors Journal.DOI
  35. Hongkang Wu, Junsheng Cheng, Niaoqing Hu, Zhe Cheng, Yu Yang (2024). Quaternion empirical Ramanujan Fourier decomposition and its application in gear fault diagnosis. Structural Health Monitoring.DOI
  36. Xianbin Zheng, Yu Yang, Niaoqing Hu, Zhe Cheng, Junsheng Cheng (2024). Quasi-Periodic Component Decomposition: New Decomposition Theory for Gear Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement.DOI
  37. Zuanyu Zhu, Junsheng Cheng, Ping Wang, Jian Wang, Xin Kang, Yu Yang (2023). A novel fault diagnosis framework for rotating machinery with hierarchical multiscale symbolic diversity entropy and robust twin hyperdisk-based tensor machine. Reliability Engineering & System Safety, Vol. 231.DOI
  38. 李鑫，程军圣，吴小伟，王健，杨宇（2023）. SPCA和OCHD相结合的旋转机械早期微弱故障检测方法. 《中国机械工程》.
  39. 郭高原，程军圣，徐伟（2023）. 非线性支持高阶单分类张量机模型. 《湖北汽车工业学院学报》.
  40. 吴占涛，曹清泉，袁毅，程军圣，杨宇，李宝庆（2023）. 基于伪极值点的ALIF方法及其应用. 《湖南大学学报(自然科学版)》.
  41. 吴家腾，杨宇，程军圣，童成彪（2023）. 齿轮典型故障动力学参数反求计算及其故障机理研究. 《第15届全国转子动力学学术大会（ROTDYN2023）》.
  42. 程哲，韦磊，程军圣，胡茑庆（2023）. 基于演员-评论家结构的深度强化学习齿轮箱智能故障诊断方法. 《失效分析与预防》.
  43. 吴家腾，杨宇，程军圣，童成彪（2023）. 齿轮典型故障动力学参数反求计算及其故障机理研究. 《第15届全国转子动力学学术大会摘要集》.DOI
  44. Yanli Ma, Junsheng Cheng, Ping Wang, Jian Wang, Yu Yang (2023). A new rotating machinery fault diagnosis method for different speeds based on improved multivariate multiscale fuzzy distribution entropy. Nonlinear dynamics.DOI
  45. Jian Cheng, Yu Yang, Ping Wang, Jian Wang, Junsheng Cheng (2023). Bearing fault feature extraction method: improved weighted envelope spectrum. Measurement science and technology.DOI
  46. Jie Zhou, Yu Yang, Ping Wang, Jian Wang, Junsheng Cheng (2023). Multivariate local fluctuation mode decomposition and its application to gear fault diagnosis. Measurement.DOI
  47. Jian Cheng, Yu Yang, Hai-Dong Shao, Junsheng Cheng (2023). Enhanced weight symplectic geometry decomposition based on maximum periodic kurtosis deconvolution. Measurement science and technology.DOI
  48. Jie Zhou, Junsheng Cheng, Yu Yang, Yan-Feng Peng (2023). Multivariate intrinsic wave-characteristic decomposition and its application in gear fault diagnosis. Measurement science and technology.DOI
  49. Yan-Fei Liu, Junsheng Cheng, Yu Yang, G. Bin, Yi-Ping Shen, Yan-Feng Peng (2023). The Partial Reconstruction Symplectic Geometry Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis. Italian National Conference on Sensors.DOI
  50. Xian-Bin Zheng, Junsheng Cheng, Yonghong Nie, Yu Yang (2023). A new noise reduction method based on re-weighted group sparse decomposition and its application in gear fault feature detection. Measurement science and technology.DOI
  51. Hong-Kang Wu, Junsheng Cheng, Yonghong Nie, Jian Wang, Yu Yang (2023). Multivariate complex modulation model decomposition and its application to gear fault diagnosis. Digit. Signal Process..DOI
  52. Songyu Han, Hai-Dong Shao, Junsheng Cheng, Xingkai Yang, Bao-Ping Cai (2023). Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information. IEEE/ASME transactions on mechatronics.DOI
  53. Feng Liu, Junsheng Cheng, Niao-Qing Hu, Zhe Cheng, Yu Yang (2023). Sparse random similarity feature decomposition and its application in gear fault diagnosis. Measurement science and technology.DOI
  54. Lei Wei, Zhe Cheng, Junsheng Cheng, Niao-Qing Hu, Yi Yang (2023). Compressed sampling of gearbox oil temperature signal based on an improved intrinsic mode function basis mixed-dictionary. Measurement.DOI
  55. Feng Liu, Junsheng Cheng, Niaoqing Hu, Zhe Cheng, Yu Yang (2023). A novel random spectral similar component decomposition method and its application to gear fault diagnosis. Mechanical Systems and Signal Processing.DOI
  56. Mengyu Liu, Zhe Cheng, Niaoqing Hu, Yi Yang, Junsheng Cheng (2023). Intelligent Fault Diagnosis of Rotating Machinery Based on Acoustic Field Signal and Domain Adaptation. Global Reliability and Prognostics and Health Management Conference (PHM).DOI
  57. Yi Yang, Niaoqing Hu, Junsheng Cheng, Zhengyang Yin, Zhe Cheng (2023). Vibration Analysis of Split-Torque Transmission System with Tooth Crack Fault. Global Reliability and Prognostics and Health Management Conference (PHM).DOI
  58. Jian Cheng, Yu Yang, Haidong Shao, Niaoqing Hu, Zhe Cheng, Junsheng Cheng (2023). Empirical mixed Ramanujan Fourier decomposition and its application to early fault diagnosis of planetary gears. Journal of Vibration and Control.DOI
  59. Zhantao Wu, Qingquan Cao, Yi Yuan, Junsheng Cheng, Baoqing Li (2023). Improved ALIF and its application to rolling bearing fault diagnosis. Measurement Science and Technology.DOI
  60. Jian Cheng, Yu Yang, Niaoqing Hu, Zhe Cheng, Junsheng Cheng (2023). Empirical Ramanujan decomposition and iterative envelope spectrum for fault diagnosis. Measurement Science and Technology.DOI
  61. Jian Cheng, Yu Yang, Haidong Shao, Junsheng Cheng (2023). Symplectic period mode decomposition method and its application in fault diagnosis of rolling bearing. Journal of Vibration and Control.DOI
  62. Yanfei Liu, Junsheng Cheng, Yu Yang, Guangfu Bin, Yiping Shen, Yanfeng Peng (2023). Roller Bearing Fault Diagnosis Based on Partial Reconstruction Symplectic Geometry Mode Decomposition and LightGBM. IEEE Access.DOI
  63. Zhe Cheng, Lei Wei, Junsheng Cheng, Niaoqing Hu (2023). Research and Application of Deep Reinforcement Learning in Rotating Machinery Fault Diagnosis Under Unbalanced Samples Condition. Mechanisms and machine science.DOI
  64. Xin Li, Yu Yang, Zhantao Wu, Ke Yan, Haidong Shao, Junsheng Cheng (2022). High-accuracy gearbox health state recognition based on graph sparse random vector functional link network. Reliability Engineering & System Safety, Vol. 218.DOI
  65. 李宝庆，杨路航，杨宇，程军圣（2022）. 基于旋转多面体锥的滚动轴承智能故障诊断. 《湖南大学学报(自然科学版)》.
  66. Xin Kang, Junsheng Cheng, Ping Wang, Jian Wang, Zuanyu Zhu, Yu Yang (2022). A novel ensemble convex hull-based classification model for bevel gearbox fault diagnosis. Measurement science and technology.DOI
  67. V. Nguyen, Junsheng Cheng, V. Thai (2022). Stacked Auto-encoder Based Feature Transfer Learning and Optimized LSSVM-PSO Classifier in Bearing Fault Diagnosis. Measurement Science Review.DOI
  68. Hongru Cao, Hai-Dong Shao, Bin Liu, Bao-Ping Cai, Junsheng Cheng (2022). Clustering-Guided Novel Unsupervised Domain Adversarial Network for Partial Transfer Fault Diagnosis of Rotating Machinery. IEEE Sensors Journal.DOI
  69. Jian Cheng, Yu Yang, Zhantao Wu, Hai-Dong Shao, Haiyang Pan, Junsheng Cheng (2022). Ramanujan Fourier Mode Decomposition and Its Application in Gear Fault Diagnosis. IEEE Transactions on Industrial Informatics.DOI
  70. Zuanyu Zhu, Yu Yang, Niao-Qing Hu, Zhe Cheng, Junsheng Cheng (2022). Sparse random projection-based hyperdisk classifier for bevel gearbox fault diagnosis. Advanced Engineering Informatics.DOI
  71. Jie Zhou, Junsheng Cheng, Xiaowei Wu, Jian Wang, Yu Yang (2022). Adaptive quaternion multivariate local characteristic-scale decomposition and its application to gear fault diagnosis. Digit. Signal Process..DOI
  72. Lei Wei, Zhe Cheng, Junsheng Cheng, Niao-Qing Hu, Yi Yang (2022). A Fault Detection Method Based on an Oil Temperature Forecasting Model Using an Improved Deep Deterministic Policy Gradient Algorithm in the Helicopter Gearbox. Entropy.DOI
  73. Jie Zhou, Junsheng Cheng, Xiaowei Wu, Jian Wang, Jian Cheng, Yu Yang (2022). Completely adaptive projection multivariate local characteristic-scale decomposition and its application to gear fault diagnosis. Measurement.DOI
  74. Jie Zhou, Yu Yang, Xin Li, Hai-Dong Shao, Junsheng Cheng (2022). Multivariate local characteristic-scale decomposition and 1.5-dimensional empirical envelope spectrum based gear fault diagnosis. Mechanism and Machine Theory.DOI
  75. Hailong Liu, Yu Yang, Niao-Qing Hu, Zhe Cheng, Junsheng Cheng (2022). Soft-margin hyperdisk tensor machine and its application to the intelligent fault diagnosis of rotating machinery. Measurement science and technology.DOI
  76. Zhi-Yi He, Hai-Dong Shao, Ziyang Ding, Hongkai Jiang, Junsheng Cheng (2022). Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine. IEEE transactions on industrial electronics (1982. Print).DOI
  77. Jian Cheng, Yu Yang, Xin Li, Junsheng Cheng (2022). Symplectic geometry packet decomposition and its applications to gear fault diagnosis. Mechanical systems and signal processing.DOI
  78. Xin Li, Yu Yang, Niao-Qing Hu, Zhe Cheng, Hai-Dong Shao, Junsheng Cheng (2022). Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix. Advanced Engineering Informatics.DOI
  79. Yanli Ma, Junsheng Cheng, Ping Wang, Jian Wang, Yu Yang (2022). A novel Lanczos quaternion singular spectrum analysis method and its application to bevel gear fault diagnosis with multi-channel signals. Mechanical systems and signal processing.DOI
  80. CHENG Jian, Junsheng Cheng, Xin Li, Haidong Shao, Yu Yang (2022). Enhanced Ramanujan Mode Decomposition Method and Its Application to Rolling Bearing Fault Diagnosis. Journal of Mechanical Engineering.DOI
  81. Jian Cheng, Yu Yang, Xiaowei Wu, Jian Wang, Zhantao Wu, Junsheng Cheng (2021). Symplectic Ramanujan Mode Decomposition and its application to compound fault diagnosis of bearings. ISA transactions.DOI
  82. Haiyang Pan, Jin-De Zheng, Yu Yang, Junsheng Cheng (2021). Nonlinear sparse mode decomposition and its application in planetary gearbox fault diagnosis.DOI
  83. Yanli Ma, Junsheng Cheng, Niao-Qing Hu, Zhe Cheng, Yu Yang (2021). Symplectic quaternion singular mode decomposition with application in gear fault diagnosis.DOI
  84. Jian Cheng, Yu Yang, Hai-Dong Shao, Haiyang Pan, Jin-De Zheng, Junsheng Cheng (2021). Enhanced periodic mode decomposition and its application to composite fault diagnosis of rolling bearings. ISA transactions.DOI
  85. Xin Li, Yu Yang, Niao-Qing Hu, Zhe Cheng, Junsheng Cheng (2021). Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis. Knowledge-Based Systems.DOI
  86. Yanli Ma, Junsheng Cheng, Ping Wang, Jian Wang, Yu Yang (2021). Rotating machinery fault diagnosis based on multivariate multiscale fuzzy distribution entropy and Fisher score. Measurement.DOI
  87. Songyu Han, Xiang Zhong, Hai-Dong Shao, Tian'ao Xu, Rongding Zhao, Junsheng Cheng (2021). Novel multi-scale dilated CNN-LSTM for fault diagnosis of planetary gearbox with unbalanced samples under noisy environment. Measurement science and technology.DOI
  88. Jia-Teng Wu, Yu Yang, Junsheng Cheng (2021). A novel estimation method of friction coefficient for evaluating gear pitting fault. Engineering Failure Analysis.DOI
  89. Jian Cheng, Yu Yang, Xin Li, Junsheng Cheng (2021). Adaptive periodic mode decomposition and its application in rolling bearing fault diagnosis. Mechanical Systems and Signal Processing.DOI
  90. 杨宇，程健，彭晓燕，潘海洋，程军圣（2020）. 一种基于改进辛几何模态分解的复合故障诊断方法. 《湖南大学学报(自然科学版)》.DOI
  91. Xianzhu Zhao, Junsheng Cheng, Ping Wang, Yu Yang (2020). A rotating machinery fault diagnosis method using composite multiscale fuzzy distribution entropy and minimal error of convex hull approximation. Measurement science and technology.DOI
  92. Haiyang Pan, Yu Yang, Ping Wang, Jian Wang, Junsheng Cheng (2020). Symplectic incremental matrix machine and its application in roller bearing condition monitoring. Applied Soft Computing.DOI
  93. Haiyang Pan, Yu Yang, Jin-De Zheng, Xin Li, Junsheng Cheng (2020). Symplectic interactive support matrix machine and its application in roller bearing condition monitoring. Neurocomputing.DOI
  94. Hai-Dong Shao, Junsheng Cheng, Hongkai Jiang, Yu Yang, Zhan-Tao Wu (2020). Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing. Knowledge-Based Systems.DOI
  95. Jia-Teng Wu, Yu Yang, Ping Wang, Jian Wang, Junsheng Cheng (2020). A novel method for gear crack fault diagnosis using improved analytical-FE and strain measurement.DOI
  96. T. Hu, Junsheng Cheng, Ping Wang, Jian Wang, Yu Yang (2020). Extensible and displaceable hyperdisk based classifier for gear fault intelligent diagnosis. Knowledge-Based Systems.DOI
  97. Haidong Shao, Ziyang Ding, Junsheng Cheng, Hong-Kai Jiang (2020). Intelligent fault diagnosis among different rotating machines using novel stacked transfer auto-encoder optimized by PSO. ISA transactions.DOI
  98. Zhi-Yi He, Hai-Dong Shao, Junsheng Cheng, Yu Yang, Jiawei Xiang (2020). Kernel flexible and displaceable convex hull based tensor machine for gearbox fault intelligent diagnosis with multi-source signals.DOI
  99. Zhi-Yi He, Hai-Dong Shao, Ping Wang, J. Lin, Junsheng Cheng, Yu Yang (2020). Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples. Knowledge-Based Systems.DOI
  100. Xin Li, Yu Yang, Haiyang Pan, Jian Cheng, Junsheng Cheng (2020). Non-parallel least squares support matrix machine for rolling bearing fault diagnosis.DOI
  101. Xiao-Ping Xie, Weidong Chen, Bin Chen, Junsheng Cheng, Ligang Tan (2020). Comprehensive fatigue estimation and fault diagnosis based on Refined Generalized Multi-Scale Entropy method of centrifugal fan blades.DOI
  102. Xianzhu Zhao, Junsheng Cheng, Ping Wang, Z. He, Hai-Dong Shao, Yu Yang (2020). A novelty detection scheme for rolling bearing based on multiscale fuzzy distribution entropy and hybrid kernel convex hull approximation.DOI
  103. Zhi-Yi He, Hai-Dong Shao, Junsheng Cheng, Xianzhu Zhao, Yu Yang (2020). Support tensor machine with dynamic penalty factors and its application to the fault diagnosis of rotating machinery with unbalanced data.DOI
  104. Xin Li, Yu Yang, Wang Ping, Wang Jian, Junsheng Cheng (2020). A bearing fault diagnosis scheme with statistical-enhanced covariance matrix and Riemannian maximum margin flexible convex hull classifier. ISA transactions.DOI
  105. Zhi-Yi He, Hai-Dong Shao, Xiang Zhong, Yu Yang, Junsheng Cheng (2020). An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE. Advanced Engineering Informatics.DOI
  106. Jian Cheng, Yu Yang, Xin Li, Haiyang Pan, Junsheng Cheng (2020). An early fault diagnosis method of gear based on improved symplectic geometry mode decomposition.DOI
  107. Jian Cheng, Yu Yang, Niaoqing Hu, Zhe Cheng, Junsheng Cheng (2020). A noise reduction method based on adaptive weighted symplectic geometry decomposition and its application in early gear fault diagnosis. Mechanical Systems and Signal Processing.DOI
  108. Xin Li, Yu Yang, Haidong Shao, Xiang Zhong, Jian Cheng, Junsheng Cheng (2020). Symplectic weighted sparse support matrix machine for gear fault diagnosis. Measurement.DOI
  109. ZHENG Jinde, Haiyang Pan, Junsheng Cheng, BAO Jiahan, LIU Qingyun, DING Keqin (2020). Adaptive Empirical Fourier Decomposition Based Mechanical Fault Diagnosis Method. Journal of Mechanical Engineering.DOI
  110. Haidong Shao, ZHANG Xiaoyang, Junsheng Cheng, Yu Yang (2020). Intelligent Fault Diagnosis of Bearing Using Enhanced Deep Transfer Auto-encoder. Journal of Mechanical Engineering.DOI
  111. 吴家腾，杨宇，程军圣（2019）. 基于参数反求的齿轮裂纹时变啮合刚度计算方法. 《中国机械工程》.
  112. Haiyang Pan, Yu Yang, Jin-De Zheng, Xin Li, Junsheng Cheng (2019). A fault diagnosis approach for roller bearing based on symplectic geometry matrix machine. Mechanism and Machine Theory.DOI
  113. Wen-Yi Huang, Junsheng Cheng, Yu Yang (2019). Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning. IEEE Access.DOI
  114. Wen-Yi Huang, Junsheng Cheng, Yu Yang, G. Guo (2019). An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis. Neurocomputing.DOI
  115. Yan-Feng Peng, Junhang Chen, Yan-Fei Liu, Junsheng Cheng, Yu Yang, Kuanfang He, Guang-Bin Wang, Yi Liu (2019). Roller Bearing Fault Diagnosis Based on Adaptive Sparsest Narrow-Band Decomposition and MMC-FCH. Shock and Vibration.DOI
  116. V. Thai, Junsheng Cheng, V. Nguyen, Phuonganh Daothi (2019). Optimizing SVM’s parameters based on backtracking search optimization algorithm for gear fault diagnosis. Journal of Vibroengineering.DOI
  117. Haiyang Pan, Yu Yang, Jin-De Zheng, Junsheng Cheng (2019). Symplectic transformation based Variational Bayesian Learning and its applications to gear fault diagnosis.DOI
  118. Hai-Yang Pan, Yu Yang, Jin-De Zheng, Junsheng Cheng (2019). A noise reduction method of symplectic singular mode decomposition based on Lagrange multiplier. Mechanical systems and signal processing.DOI
  119. Zhi-Yi He, Junsheng Cheng, Juan Li, Yu Yang (2019). Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings. Knowledge-Based Systems.DOI
  120. Yan-Feng Peng, Yan-Fei Liu, Junsheng Cheng, Yu Yang, K. He, Guang-Bin Wang, Yi Liu (2019). Remaining useful life prediction of rolling bearing using adaptive sparsest narrow-band decomposition and locality preserving projections. Advances in Mechanical Engineering.DOI
  121. Xin Li, Yu Yang, Haiyang Pan, Jian Cheng, Junsheng Cheng (2019). A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis. Computers in industry (Print).DOI
  122. Wen-Yi Huang, Junsheng Cheng, Yu Yang (2019). Rolling bearing fault diagnosis and performance degradation assessment under variable operation conditions based on nuisance attribute projection. Mechanical systems and signal processing.DOI
  123. Haiyang Pan, Yu Yang, Xin Li, Jin-De Zheng, Junsheng Cheng (2019). Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis. Mechanical systems and signal processing.DOI
  124. Zhi-Yi He, Hai-Dong Shao, Xiaoyang Zhang, Junsheng Cheng, Yu Yang (2019). Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples. IEEE Access.DOI
  125. Zhiyi He, Haidong Shao, Jing Lin, Junsheng Cheng, Yu Yang (2019). Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder. Measurement.DOI
  126. VietHung Nguyen, Junsheng Cheng, Yu Yang, VanTrong Thai (2019). An architecture of deep learning network based on ensemble empirical mode decomposition in precise identification of bearing vibration signal. Journal of Mechanical Science and Technology.DOI
  127. 罗鹏，杨宇，程军圣（2018）. AFDCNN方法及其在齿轮故障定量诊断中的应用. 《电子测量与仪器学报》.
  128. 舒文婷，程军圣，黄祝庆，卿宏军（2018）. 基于GP-SSD的旋转机械复合故障特征提取方法. 《电子测量与仪器学报》.
  129. 彭春江，胡燕平，程军圣，沈意平（2018）. 海上浮式风力机二自由度动力学建模及风波耦合激励特性分析. 《太阳能学报》.
  130. 杨宇，朱正祥，程军圣（2018）. 基于FA-ASTFA和最小凸包的齿轮裂纹故障预测模型. 《机械传动》.
  131. Jin-De Zheng, Haiyang Pan, Shu-Bao Yang, Junsheng Cheng (2018). Generalized composite multiscale permutation entropy and Laplacian score based rolling bearing fault diagnosis.DOI
  132. Jia-Teng Wu, Yu Yang, Xingkai Yang, Junsheng Cheng (2018). Fault feature analysis of cracked gear based on LOD and analytical-FE method.DOI
  133. 吴占涛，程军圣，李宝庆，郑近德（2017）. 基于Lagrange插值的局部特征尺度分解方法及其应用. 《湖南大学学报(自然科学版)》.
  134. 彭延峰，刘贞涛，程军圣，杨宇，刘燕飞（2017）. 基于初值优化的自适应最稀疏时频分析方法. 《湖南大学学报(自然科学版)》.
  135. 潘海洋，杨宇，郑近德，程军圣（2017）. 基于径向基函数的变量预测模型模式识别方法. 《航空动力学报》.
  136. 杨宇，欧龙辉，吴家腾，程军圣（2017）. PMA-ASTFA及其在齿轮裂纹定量诊断中的应用. 《振动工程学报》.
  137. 欧龙辉，彭晓燕，杨宇，程军圣（2017）. GS-ASTFA方法及其在滚动轴承寿命预测中的应用. 《振动与冲击》.
  138. Junsheng Cheng, Yan-Feng Peng, Yu Yang, Zhantao Wu (2017). Adaptive sparsest narrow-band decomposition method and its applications to rolling element bearing fault diagnosis.DOI
  139. Jin-De Zheng, Haiyang Pan, Shu-Bao Yang, Junsheng Cheng (2017). Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis. Signal Processing.DOI
  140. Song-Rong Luo, Junsheng Cheng (2017). VPMCD based novelty detection method on and its application to fault identification for local characteristic-scale decomposition. Cluster Computing.DOI
  141. DucHieu Le, Junsheng Cheng, Yu Yang, Minhhieu Pham, V. Thai (2017). Gear Fault Diagnosis Method Based on Local Characteristic-Scale Decomposition Multi-Scale Permutation Entropy and Radial Basis Function Network.DOI
  142. V. Nguyen, Junsheng Cheng, V. Thai, X. Nguyễn (2017). Identification of Bearing Fault Signal based on Adaptive Feature Extraction and Optimal ACROSVKF Classification Model.
  143. Yan-Feng Peng, Junsheng Cheng, Yan-Fei Liu, Xuejun Li, Zhi-Hua Peng (2017). An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings. Frontiers of Mechanical Engineering.DOI
  144. Jin-De Zheng, Haiyang Pan, Junsheng Cheng (2017). Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines.DOI
  145. 郑近德，潘海洋，程军圣（2016）. 非平稳信号分析的广义解析模态分解方法. 《电子学报》.
  146. 彭延峰，程军圣，杨宇（2016）. ACROA优化的自适应最稀疏窄带分解方法. 《振动工程学报》.
  147. 李宝庆，程军圣，吴占涛，杨宇（2016）. 基于ASTFA和PMMFE的齿轮故障诊断方法. 《振动工程学报》.
  148. 吴占涛，程军圣，李宝庆，郑近德（2016）. 广义局部特征尺度分解方法及其应用. 《振动工程学报》.
  149. 程军圣，李宝庆，彭延峰，吴占涛，杨宇（2016）. 基于自适应最稀疏时频分析的阶次方法及应用. 《振动工程学报》.
  150. 刘吉彪，程军圣，刘燕飞（2016）. 基于LCD和GMM的滚动轴承寿命预测方法. 《现代制造工程》.
  151. 吴占涛，程军圣，张桂香，杨宇（2016）. 自主致密LCD和改进的广义局部频率解调方法. 《仪器仪表学报》.
  152. 刘吉彪，程军圣，刘燕飞（2016）. 基于LCD和GMM-VPMCD混合模型的滚动轴承退化状态识别. 《机械强度》.
  153. 刘吉彪，程军圣，杨伟康（2016）. LCD方法的改进及其在滚动轴承故障诊断中的应用. 《机械强度》.
  154. 张亢，程军圣（2016）. 基于LMD和阶次跟踪分析的滚动轴承故障诊断. 《振动、测试与诊断》.
  155. 郑近德，潘海洋，张俊，程军圣（2016）. APEEMD及其在转子碰摩故障诊断中的应用. 《振动、测试与诊断》.
  156. 李宝庆，程军圣，吴占涛，杨宇（2016）. 自适应最稀疏时频分析方法的分解能力研究. 《湖南大学学报(自然科学版)》.
  157. DucHieu Le, Junsheng Cheng, Yu Yang, Trong-Dat Tran, VanThoan Pham (2016). Gears Fault Diagnosis Method Using Ensemble Empirical Mode Decomposition Energy Entropy Assisted ACROA-RBF Neural Network.DOI
  158. Yan-Feng Peng, Junsheng Cheng, Yu Yang, Baoqing Li (2016). Adaptive sparsest narrow-band decomposition method and its applications to rotor fault diagnosis.DOI
  159. Ming Zeng, Yu Yang, Junsheng Cheng (2016). A generalized Mitchell-Dem'yanov-Malozemov algorithm for one-class support vector machine. Knowledge-Based Systems.DOI
  160. Yu Yang, Haiyang Pan, Li Ma, Junsheng Cheng (2016). A fault diagnosis approach for roller bearing based on improved intrinsic timescale decomposition de-noising and kriging-variable predictive model-based class discriminate.DOI
  161. Ming Zeng, Yu Yang, Song-Rong Luo, Junsheng Cheng (2016). One-class classification based on the convex hull for bearing fault detection.DOI
  162. Jia-Teng Wu, Xiao-Yang Peng, Yu Yang, Kang Zhang, Junsheng Cheng（2016）. 騒音支援局所的波動特性分解に基づく歯車亀裂の定量的診断方法【JST・京大機械翻訳】.
  163. Bao-Qing Li, Junsheng Cheng, Zhan-Tao Wu, Yu Yang (2016). Gear fault diagnosis method based on the adaptive and sparsest time-frequency analysis method and partial mean multi-scale fuzzy entropy.
  164. Jin-De Zheng, Hai-Yang Pan, Junsheng Cheng, Jun Zhang（2016）. 複合マルチスケールファジィエントロピーに基づく転がり軸受故障診断法を【JST・京大機械翻訳】.
  165. Yang-Feng Peng, Junsheng Cheng, Yu Yang（2016）. ACROA最適化の適応最小スパース分解法【JST・京大機械翻訳】.
  166. Song-Rong Luo, Junsheng Cheng, K. Wei (2016). A Fault Diagnosis Model Based on LCD-SVD-ANN-MIV and VPMCD for Rotating Machinery.DOI
  167. Ming Zeng, Yu Yang, Junsheng Cheng（2016）. 1クラスサポートベクトルマシンのための一般化Mitchell Dem’yanov Malozemovアルゴリズム【Powered by NICT】.
  168. Song-Rong Luo, Junsheng Cheng, Ming Zeng, Yu Yang (2016). An intelligent fault diagnosis model for rotating machinery based on multi-scale higher order singular spectrum analysis and GA-VPMCD.DOI
  169. Bao-Qing Li, Junsheng Cheng, Zhan-Tao Wu, Yu Yang（2016）. ASTFAとPMMFEに基づく歯車故障診断法【JST・京大機械翻訳】.
  170. Ming Zeng, Yu Yang, Jin-De Zheng, Junsheng Cheng (2016). Maximum margin classification based on flexible convex hulls for fault diagnosis of roller bearings.DOI
  171. 杨斌，刘吉彪，程军圣（2015）. 基于多尺度振动传递率函数和灰度矩相对熵的损伤识别方法. 《中国机械工程》.
  172. 吴占涛，程军圣，张桂香（2015）. 基于牛顿插值的局部特征尺度分解方法及应用. 《电子测量与仪器学报》.
  173. 杨斌，程军圣（2015）. 基于自适应最稀疏时频分析的结构损伤检测方法. 《振动工程学报》.
  174. 罗颂荣，程军圣（2015）. 基于LCD的自适应小波脊线解调及齿轮故障诊断. 《振动、测试与诊断》.
  175. 郑近德，程军圣，曾鸣（2015）. 基于改进的局部特征尺度分解和归一化正交的时频分析方法. 《电子学报》.
  176. 程军圣，马兴伟，杨宇（2015）. 基于ICA相关系数和VPMCD的滚动轴承故障诊断. 《振动、测试与诊断》.
  177. Song-Rong Luo, Junsheng Cheng, Jianping Fu (2015). Application of Self-Adaptive Wavelet Ridge Demodulation Method Based on LCD to Incipient Fault Diagnosis.DOI
  178. Ming Zeng, Yu Yang, Junsheng Cheng (2015). A generalized Gilbert algorithm and an improved MIES for one-class support vector machine. Knowledge-Based Systems.DOI
  179. HungLinh Ao, Junsheng Cheng, Jin-De Zheng, Tung Khac Truong (2015). Roller Bearing Fault Diagnosis Method Based on Chemical Reaction Optimization and Support Vector Machine. Journal of computing in civil engineering.DOI
  180. HungLinh Ao, Junsheng Cheng, Yu Yang, Tung Khac Truong (2015). The support vector machine parameter optimization method based on artificial chemical reaction optimization algorithm and its application to roller bearing fault diagnosis.DOI
  181. Ming Zeng, Yu Yang, Jin-De Zheng, Junsheng Cheng (2015). Maximum margin classification based on flexible convex hulls. Neurocomputing.DOI
  182. Ming Zeng, Yu Yang, Jin-De Zheng, Junsheng Cheng (2015). Normalized complex Teager energy operator demodulation method and its application to fault diagnosis in a rubbing rotor system.DOI
  183. Song-Rong Luo, Junsheng Cheng, HungLinh Ao (2015). Application of LCD-SVD Technique and CRO-SVM Method to Fault Diagnosis for Roller Bearing.DOI
  184. 曾鸣，杨宇，郑近德，程军圣（2014）. 归一化复域能量算子解调及其在转子碰摩故障诊断中的应用. 《机械工程学报》.
  185. 杨宇，潘海洋，程军圣（2014）. 基于特征选择和RRVPMCD的滚动轴承故障诊断方法. 《振动工程学报》.
  186. 程军圣，郑近德，杨宇，罗颂荣（2014）. 基于部分集成局部特征尺度分解与拉普拉斯分值的滚动轴承故障诊断模型. 《振动工程学报》.
  187. 郑近德，程军圣，聂永红，罗颂荣（2014）. 完备总体平均局部特征尺度分解及其在转子故障诊断中的应用. 《振动工程学报》.
  188. 杨宇，潘海洋，程军圣（2014）. VPMCD和模糊熵在转子系统故障诊断中的应用. 《振动、测试与诊断》.
  189. 郑近德，程军圣，杨宇（2014）. 基于LCD和排列熵的滚动轴承故障诊断. 《振动、测试与诊断》.
  190. 潘海洋，杨宇，李永国，程军圣（2014）. 基于流形学习和改进VPMCD的滚动轴承故障诊断方法. 《振动工程学报》.
  191. 罗颂荣，程军圣，郑近德，杨宇（2014）. GA-VPMCD方法及其在机械故障智能诊断中的应用. 《振动工程学报》.
  192. Jin-De Zheng, Junsheng Cheng, Yu Yang (2014). Multiscale Permutation Entropy Based Rolling Bearing Fault Diagnosis.DOI
  193. Jin-De Zheng, Junsheng Cheng, Yu Yang, Song-Rong Luo (2014). A rolling bearing fault diagnosis method based on multi-scale fuzzy entropy and variable predictive model-based class discrimination.DOI
  194. HungLinh Ao, Junsheng Cheng, Ken-Li Li, Tung Khac Truong (2014). A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM.DOI
  195. 程军圣，马利，潘海洋，杨宇（2014）. 基于EEMD和改进VPMCD的滚动轴承故障诊断方法. 《湖南大学学报(自然科学版)》.
  196. Yu Yang, Haiyang Pan, Li Ma, Junsheng Cheng (2014). A roller bearing fault diagnosis method based on the improved ITD and RRVPMCD.DOI
  197. Jin-De Zheng, Junsheng Cheng, Yu Yang (2014). Partly ensemble empirical mode decomposition: An improved noise-assisted method for eliminating mode mixing. Signal Processing.DOI
  198. 严爱芳，郭莉娟，程军圣（2013）. 风力发电机在线状态监测仪的设计及应用. 《测控技术》.DOI
  199. 杨宇，潘海洋，程军圣（2013）. 基于LCD降噪和VPMCD的滚动轴承故障诊断方法. 《中国机械工程》.
  200. Yu Yang, Huanhuan Wang, Junsheng Cheng, Kang Zhang (2013). A fault diagnosis approach for roller bearing based on VPMCD under variable speed condition.DOI
  201. Jin-De Zheng, Junsheng Cheng, Yu Yang (2013). A rolling bearing fault diagnosis approach based on LCD and fuzzy entropy.DOI
  202. Jin-De Zheng, Junsheng Cheng, Yu Yang (2013). Generalized empirical mode decomposition and its applications to rolling element bearing fault diagnosis.DOI
  203. Junsheng Cheng (2013). Application of Pattern Recognition Approach Based on VPMCD in Roller Bearing Fault Diagnosis. Journal of Hunan University.
  204. 程军圣，杨怡，杨宇（2012）. 局部特征尺度分解方法及其在齿轮故障诊断中的应用. 《机械工程学报》.
  205. 郑近德，程军圣，杨宇（2012）. 基于改进的ITD和模糊熵的滚动轴承故障诊断方法. 《中国机械工程》.
  206. 程军圣，郑近德，杨宇（2012）. 基于局部特征尺度分解的经验包络解调方法及其在机械故障诊断中的应用. 《机械工程学报》.
  207. Junsheng Cheng, Yezhou Yang, Yu Yang (2012). A rotating machinery fault diagnosis method based on local mean decomposition. Digit. Signal Process..DOI
  208. Junsheng Cheng (2012). Empirical Envelope Demodulation Approach Based on Local Characteristic-scale Decomposition and Its applications to Mechanical Fault Diagnosis.DOI
  209. Junsheng Cheng, Kang Zhang, Yu Yang (2012). An order tracking technique for the gear fault diagnosis using local mean decomposition method.DOI
  210. Yu Yang, Junsheng Cheng, Kang Zhang (2012). An ensemble local means decomposition method and its application to local rub-impact fault diagnosis of the rotor systems.DOI
  211. Junsheng Cheng (2012). Local Characteristic-scale Decomposition Method and Its Application to Gear Fault Diagnosis.DOI
  212. Yu Yang, Ming Zeng, Junsheng Cheng (2012). Research on local characteristic-scale decomposition and its capacities.
  213. Junsheng Cheng, Yi Yang, Yu Yang (2012). Application of spectral kurtosis approach based on local mean decomposition(LMD) in gear fault diagnosis. Zhendong yu chongji.
  214. Kun Fang, Yu Wang, Xiangzhou Wang, Junsheng Cheng (2011). Order tracking demodulation analysis based on Ensemble Empirical Mode Decomposition and its applications to fault diagnosis. International Conference on Electrical and Control Engineering.DOI
  215. Junsheng Cheng (2011). Application of Adaptive Filtering to Noise Measurements of Automotive Alternators. Noise and Vibration Control.
  216. 张亢，程军圣，杨宇（2010）. 基于自适应波形匹配延拓的局部均值分解端点效应处理方法. 《中国机械工程》.
  217. Junsheng Cheng, Yu Yang, Dejie Yu (2010). The envelope order spectrum based on generalized demodulation time–frequency analysis and its application to gear fault diagnosis.DOI
  218. Junsheng Cheng (2010). Fault Diagnosis Approach for Rotor Systems Based on LMD and AR Model. Journal of Hunan University.
  219. Junsheng Cheng (2010). Application of the envelope order spectrum based on the maximal overlap discrete wavelet packet transform to the roller bearing fault diagnosis. Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University.
  220. Junsheng Cheng, Dejie Yu, Jia-Shi Tang, Yu Yang (2009). Application of SVM and SVD Technique Based on EMD to the Fault Diagnosis of the Rotating Machinery.DOI
  221. Junsheng Cheng, Yu Yang, Dejie Yu (2009). Application of the improved generalized demodulation time-frequency analysis method to multi-component signal decomposition. Signal Processing.DOI
  222. Junsheng Cheng, Dejie Yu, Jia-Shi Tang, Yu Yang (2009). Local rub-impact fault diagnosis of the rotor systems based on EMD.DOI
  223. Yu Yang, Yigang He, Junsheng Cheng, Dejie Yu (2009). A gear fault diagnosis using Hilbert spectrum based on MODWPT and a comparison with EMD approach.DOI
  224. Junsheng Cheng, Dejie Yu, Yu Yang (2008). A Fault Diagnosis Approach for Gears Based on IMF AR Model and SVM. EURASIP Journal on Advances in Signal Processing.DOI
  225. Junsheng Cheng, Dejie Yu, Jia-Shi Tang, Yu Yang (2008). Application of frequency family separation method based upon EMD and local Hilbert energy spectrum method to gear fault diagnosis.DOI
  226. 于德介，陈淼峰，程军圣，杨宇（2007）. 基于AR模型和支持向量机的转子系统故障诊断方法. 《系统工程理论与实践》, Vol. 27, No. 5.下载原文
  227. Junsheng Cheng, Dejie Yu, Yu Yang (2007). Application of support vector regression machines to the processing of end effects of Hilbert Huang transform.DOI
  228. Yu Yang, Dejie Yu, Junsheng Cheng (2007). A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM.DOI
  229. Dejie Yu, Yu Yang, Junsheng Cheng (2007). Application of time–frequency entropy method based on Hilbert–Huang transform to gear fault diagnosis.DOI
  230. Yu Yang, Junsheng Cheng (2006). A roller bearing fault diagnosis method based on EMD energy entropy and ANN.DOI
  231. Junsheng Cheng (2006). PROCESS METHOD FOR END EFFECTS OF HILBERT-HUANG TRANSFORM BASED ON SUPPORT VECTOR REGRESSION MACHINES.DOI
  232. 程军圣，于德介，杨宇（2005）. 基于SVM和EMD包络谱的滚动轴承故障诊断方法. 《系统工程理论与实践》, Vol. 25, No. 9.下载原文
  233. Dejie Yu, Junsheng Cheng, Yu Yang (2005). Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings.DOI
  234. Junsheng Cheng, YU De-jie, Yu Yang (2005). The application of energy operator demodulation approach based on EMD in machinery fault diagnosis. Mechanical Systems and Signal Processing.DOI
  235. Junsheng Cheng, YU De-jie, Yu Yang (2005). Application of an impulse response wavelet to fault diagnosis of rolling bearings. Mechanical Systems and Signal Processing.DOI
  236. Junsheng Cheng, YU De-jie, Yu Yang (2005). Research on the intrinsic mode function (IMF) criterion in EMD method. Mechanical Systems and Signal Processing.DOI
  237. Cheng Junsheng, YU De-jie, Yu Yang (2005). Time–energy density analysis based on wavelet transform. NDT & E International.DOI
  238. 程军圣，于德介，杨宇（2004）. 一种基于Hilbert-Huang变换和AR模型的滚动轴承故障诊断方法. 《系统工程理论与实践》, Vol. 24, No. 10.下载原文
  239. Junsheng Cheng (2004). ENERGY OPERATOR DEMODULATING APPROACH BASED ON EMD AND ITS APPLICATION IN MECHANICAL FAULT DIAGNOSIS.DOI
  240. Junsheng Cheng, YU De-jie, Yu Yang (2004). A fault diagnosis approach for roller bearings based on EMD method and AR model. Mechanical Systems and Signal Processing.DOI
  241. 于德介，程军圣，杨宇（2003）. Hilbert-Huang变换在滚动轴承故障诊断中的应用. 《中国机械工程》.
  242. Yu Yang, Junsheng Cheng, Ge Ding, Dan Tian (2003). Study on the structural damage identification method with combined parameters based on RBF neural network. Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).DOI

预印本

  1. Yingjie Tang, Zhantao Wu, Dongxu Liu, Junsheng Cheng, Boyang Li (2026). Improved BLCD and Its Application in Gear Surface Defect Detection. Preprints.org.DOI
  2. Yang Yong, Junsheng Cheng, Wenyi Huang (2026). Uncertainty-Aware Text-Conditioned Diffusion for Robust Vibration Synthesis under Domain Shifts. SSRN Electronic Journal.DOI

书籍章节

  1. Lei Wei, Zhe Cheng, Niaoqing Hu, Junsheng Cheng, Guoji Shen (2022). Research on Fault Detection Method for Special Equipment Under the Condition of Sample Missing. Mechanisms and machine science.DOI

研究方向

工业通用技术及设备机械工业无线电电子学

此主页由公开资料整理，尚未经学者本人认领。