RESEARCH GRANTS FUNDED
Updated on 01/12/2022 09:16:08 PM

  1. “Investigation on the enhancement of time-frequency characteristic representation and the model of feature fusion pyramid with the coupled signal in wind turbine gearbox” (风电齿轮箱耦合信号时频特征表征增强及融合金字塔模型研究), National Natural Science Foundation of China (NSFC) 国家自然科学基金项目, 52105111, PI: Peng Chen, 2022/01-2024/12 (项目负责人)
  2.  “Research on monitoring and diagnosis approach of critical transmission components in offshore wind turbine under varying operating conditions”(海上浮式风机关键传动件运行状态监测与故障诊断方法研究), Guangdong Basic and Applied Basic Research Foundation 广东省基础与应用基础研究基金(自然科学基金面上项目), 2022A1515010859, PI: Peng Chen, 01/2022-12/2024（项目负责人）
  3. 基于《机械智能运维基础》的课程思政教学与实践，教学质量与教学改革工程项目, PI: Peng Chen, 10/2023-10/2025（项目负责人）
  4. “Investigation on Operation Condition Monitoring and Fault Diagnosis for Offshore Wind Turbine “(海上风力机传动链运行状态监测与故障诊断方法研究), Guangdong Provincial Science and Technology Special Fund Project 广东省科技专项资金项目, STKJ2021171, PI: Peng Chen, 2021/10/25-2023/09/30（项目负责人）
  5. “Investigation on Characterization Representation of Coupled Vibration Signal and Fusion Model with Critical Components in Wind Turbine”(风电关键部件耦合信号特征表征及融合网络模型研究), STU Scientific Research Initiation Grant, SRIG 汕头大学科研启动经费项目, NTF21029, PI: Peng Chen, 2022/01/10-2024/04/30（项目负责人）
  6. “Research on Safety Operation and Maintenance Robots for Wind Turbine Tower Structure in Wind Power Generation” (风力发电塔筒结构安全运维机器人研究), Co-PI: Peng Chen, 2022/07-2025/07, ￥1000万 (企业横向项目)
  7. “Development of a smart operation and maintenance platform for new energy power generation stations” (新能源发电场站智慧化运维平台开发), Co-PI: Peng Chen, 2022/07-2025/07, ￥300万 (企业横向项目)
  8. “Research on Fault Diagnosis Methods for Industrial Robots” (工业机器人的故障诊断方法研究)，Co-PI: Peng Chen, 2022/07-2024/07, ￥50万 (企业横向项目)
  9. 国家重点研发计划, 物理知识与运行数据驱动的重大装备异常检测与故障诊断，2018YFB1702401,  2019/01-2022/12 (参与)
  10. 国家自然科学基金重点项目, 高速列车运行风险评估及调控基础理论与方法, 61833002, 2019/01-2023/12（参与）
  11. 国家自然科学基金重点项目, 多重不确定因素下的智能电网风险调度理论与方法研究 , 51537010, 01/2019-12/2023（参与）
  12. 国家重点研发计划 , 放射治疗装备可靠性与工程化技术研究, 2017YFC0108400, 08/2017 – 07/2019（参与）
  13. 国家自然科学基金面上项目, 行星齿轮传动系统故障诊断与动态可靠性评估研究，51375078, 2014/01-2017/12 （参与）
  14. 中央高校基本业务费项目, 风力发电传动行星齿轮箱载荷波动过程故障诊断技术研究, ZYGX2016J111, 08/2017-12/2018（参与）
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SELECTED PUBLICATIONS
Updated on 01/20/2022 11:12:08 PM

     JOURNAL PAPERS

  1. Chaojun Xu, Peng Chen*, Meng Rao, Cheng-Geng Huang, Semi-Supervised Transfer Learning Preserving Spatial Homogeneity for Gearbox Diagnostics in Extraneous Transient Noise, IEEE Transactions on Industrial Informatics, 2024. (学生一作, SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
  2. Peng Chen*, Jia Gao, Cheng-Geng Huang, and He Li, Physics-Aware Digital Twin and Few-Shot Learning for Self-Supervised Gearbox Fault Diagnosis, IEEE Transactions on Industrial Informatics, 2024. (SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
  3. Peng Chen*,Ruijin Zhang, Jia Gao, Physics-Informed Semi-Supervised Framework for Discovery of Unknown Gearbox Fault Types, Reliability Engineering and System Safety, (SCI, JCR 1区, 中科院(工程技术) 1区, Top期刊)
  4. Ruijin Zhang, Peng Chen*, Jia Gao, Cheng-Geng Huan, Yaqiang Jin, and He Li, Class-Conscious Semi-Supervised Representation Learning for Unearthing Latent Categories in Gearbox Fault Diagnosis, IEEE Transactions on Automation Science and Engineering, 2024. (学生一作, SCI, JCR 1区, 中科院(工程技术) 2区, Top期刊)
  5. Peng Chen*, Yuhao Wu, Chaojun Xu, Adaptive signal regime for identifying transient shifts: A novel approach toward fault diagnosis in industrial  equipment, IEEE Transactions on Industrial Informatics, 2023. (SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
  6. Peng Chen*, Yuhao Wu, Dynamic transient noise-resilient fault diagnosis in industrial systems: Markov-based signal conditioning transformation modeling, IEEE Transactions on Industrial Electronics, 2023. (SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
  7. Peng Chen*, Zhigang Ma, et. al., Scale-aware Domain Adaptation for Surface Defects Detection on Machine Tool Components in Contaminant Measurements, IEEE Transactions on Instrumentation and Measurement, 2023. (SCI, JCR 1区, 中科院(工程技术) 2区, Top期刊)
  8.  Peng Chen*, Yuhao Wu, et. al., Interference suppression of non-stationary signals and bearing diagnosis under transient noise environments, IEEE Transactions on Reliability, 2023. (SCI, JCR 1区, 中科院(计算机科学) 2区)
  9. Peng Chen*, Junxiao Ma, Jia Gao, Cheng-Geng Huang, He Li, Shuai Fan, Semi-supervised consistency models for automated defect detection in carbon fiber composites with limited data, IEEE Transactions on Automation Science and Engineering, 2023. (SCI, JCR 1区, 中科院(工程技术) 2区, Top期刊)
  10. Peng Chen*, Zhigang Ma, Ruijin Zhang, Shui Fan, Cross-scale feature blending framework for surface defect identification in machine tool elements resilient to contaminant interference, MEASUREMENT SCIENCE and TECHNOLOGY, 2024. (SCI, JCR 2区, 中科院(工程技术) 3区)
  11. Peng Chen*, Zhigang Ma, Yuhao Wu, He Li, Shuai Fan, Yaqiang Jin, Self-supervised knowledge distillation framework for remote diagnosis of machine tool elements in imaging transmission attenuation environments, Mechanical System and Signal Processing, 2024, [pdf] (SCI, JCR 1区, 中科院(工程技术) 1区, Top期刊)
  12. Chaojun Xu, Peng Chen*, Zheng Li, Zhigang Ma, Chengning Zhou, Cyclicalnet: Modeling temporal dependencies with 2d shifts for exploring underlying patterns in sequential vibration signals, Mechanical System and Signal Processing, 2023, [pdf] (学生一作, SCI, JCR 1区，中科院(工程技术) 1区, Top期刊) 
  13. Peng Chen*, Zhigang Ma, Chaojun Xu, Yaqiang Jin, Chengning Zhou, Self-supervised transfer learning for remote wear evaluation in machine tool elements with imaging transmission attenuation, IEEE Internet of Things Journal, 2024, DOI: 10.1109/JIOT.2024.3382878. [pdf] (SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
  14. Peng Chen*, Yuhao Wu, Chaojun Xu, Yaqiang Jin, Chengning Zhou, Markov modeling of signal condition transitions for bearing diagnostics under external interference conditions, IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-8, 2024, 3518308, DOI: 10.1109/TIM.2024.3383497. [pdf] (SCI, JCR 1区, 中科院(电子电气) 2区, Top期刊)
  15. Peng Chen*, Chaojun Xu, Zhigang Ma, Yaqiang Jin, A Mixed Samples-Driven Methodology Based on Denoising Diffusion Probabilistic Model for Identifying Damage in Carbon Fiber Composite Structures, IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-11, 2023, 3513411, DOI: 10.1109/TIM.2023.3267522.  [pdf] (SCI, JCR 1区, 中科院(工程技术) 2区, Top期刊)
  16. Peng Chen, Yu Li, K. S. Wang, M. J. Zuo, P. S. Heyns, Stephan Baggeröhr, A threshold self­setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks, Measurement (2021) Volume 167, 108234, DOI: 10.1016/j.measurement.2020.108234. [pdf] [code] (SCI, JCR 1区, 中科院(工程技术) 2区, Top期刊)
  17. Peng Chen, Yu Li, K. S. Wang, M. J. Zuo, A novel knowledge transfer network with fluctuating operating conditions adaptation for bearing fault pattern recognition, Measurement (2020) Volume 158, 107739, DOI: 10.1016/j.measurement.2020.107739.  🔒 More Links #2 ([pdf] [code]) (SCI, JCR 1区, 中科院(工程技术) 2区, Top期刊)
  18. Peng Chen, Yu Li, K. S. Wang, M. J. Zuo, An automatic speed adaptation neural networks model for planetary gearbox fault diagnosis under time­ varying operating conditions, Measurement (2021) Volume 171, 108784, DOI: 10.1016/j.measurement.2020.108784. 🔒 More Links #1 ([pdf] [code]) (SCI, JCR 1区, 中科院(工程技术) 2区, Top期刊)
  19. Peng Chen, Yu Li, K. S. Wang, M. J. Zuo, Dongdong Wei, An ameliorated synchroextracting transform based on upgraded local instantaneous frequency approximation. Measurement (2019) Volume 148, 106953, DOI: 10.1016/j.measurement.2019.106953. [pdf] [code] (SCI, JCR 1区, 中科院(工程技术) 2区, Top期刊)
 

      CONFERENCE PAPERS

  1. Jia Gao, Peng Chen*, Chaojun Xu, Semi-Supervised Gearbox Diagnostics via Few-Shot Learning with DGAT Algorithm, Proceedings of TEPEN-IWFDP2024: International Workshop on Fault Diagnostics and Prognostics, Qingdao, China. (学生一作, Conference Paper)
  2. Yaqiang Jin, Peng Chen, Meng Rao, Tian Ran Lin, Ming J. Zuo, Feature density model-based abnormal vibration detection and severity assessment for rotating equipment, Proceedings of TEPEN-IWFDP2024: International Workshop on Fault Diagnostics and Prognostics, Qingdao, China. (Conference Paper)
  3. Peng Chen, K. S. Wang, M. J. Zuo, A generalized synchroextracting transform for fast and strong frequency modulated signal analysis, Condit. Monitor. Diagnost. Eng. Manage. (2018) 189–196.  
  4. Peng Chen, K. S. Wang, Ke Feng, Application of order­ tracking Holospectrum to cracked rotor fault diagnostics under nonstationary conditions, in: Prognostics and System Health Management Conference (PHM­Chengdu), 2016, IEEE, pp. 1­6, DOI: 10.1109/PHM.2016.7819887. 
  5. Yu Li, Peng Chen, K. S. Wang, Qiang Miao, Deep convolutional autoencoder for wind turbine blades health condition monitoring based on FBG strain gauges measurement, APWSHM 2018, Hong Kong Polytechnic University, Hong Kong, https://www.ndt.net/article/apwshm2018/papers/84.pdf. 
  6. Ke Feng, K. S. Wang, Peng Chen, Signal selection scheme through order tracking techniques for planetary gearbox condition monitoring, Prognostics and System Health Management Conference (PHM-Chengdu), 2016, IEEE, 2016,pp. 1-5, DOI: 10.1109/PHM.2016.7819880. 
 

       PATENTS

  1. 陈鹏，吴宇豪，许朝峻，高嘉，一种非高斯噪声环境下的轴承故障诊断方法、系统及设备，2024.01.17，中国，202410063788.4
  2. 陈鹏，许朝峻，马志刚，张春，去噪扩散样本增量学习的碳纤维材料损伤检测方法及装置，2022.12.13，中国，CN202211595005.4
  3. 陈鹏，王科盛，李宇，杨滨源，风机叶片光纤载荷应变特征提取及裂纹监测方法, 2019.12.31, 中国，CN 108592812 B
  4. 陈鹏，王科盛，一种基于二阶同步提取变换的强转速特征提取方法, 2018.08.10, 中国，CN 108388839 A
 

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