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 (陈鹏), 01/2022-12/2024 (项目负责人)
  2. “Research on Non-Gaussian Noise Interference Effects and Control of Open Gears in Gantry Cranes under Cloud-Edge Collaboration” (云边协同下门式起重机开放齿轮非高斯噪声干扰效应与调控研究), 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), 2025A1515012256, PI: Peng Chen (陈鹏), 01/2025-12/2027 (项目负责人)
  3. “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 (陈鹏), 01/2022-12/2024 (项目负责人)
  4. “Research and development of fault diagnostic algorithms for port crane lifting systems”, (港口起重机械起升机构故障诊断算法研究与开发), 广东省特种设备检测研究院顺德检测院 (Industry-Academia Cooperation Project from the Guangdong Institute of Special Equipment Inspection and Research Shunde Branch), XTJ-KY01-202503-030，PI: Peng Chen (陈鹏), 04/2025-04/2026 (企业委托项目, 项目负责人)
  5. “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 (陈鹏), 25/10/2021-30/09/2023 (项目负责人)
  6. “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 (陈鹏), 10/01/2022-30/04/2024 (项目负责人)
  7. 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,181243249, PI: Peng Chen (陈鹏), 07/06/2024-31/8/2025 (项目负责人)
  8. 多模态影像处理与深度学习驱动的风光储一体化新能源发电系统电力输电线路及变电主设备多尺度缺陷智能诊断及可靠性评估研究, Enterprise Collaboration Project from the National Excellent Engineer Innovation Research Institute for Advanced Manufacturing Industry in Foshan of Guangdong-Hong Kong-Macao Greater Bay Area (粤港澳大湾区(佛山)先进制造业国家卓越工程师创新研究院合作项目), NSJH2025008, Co-PI: Peng Chen (陈鹏), 01/2025-12/2027, ￥200万 (企业横向项目)
  9. “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 (陈鹏), 07/2022-07/2025, ￥1000万 (企业横向项目)
  10. “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 (陈鹏), 07/2022-07/2025, ￥300万 (企业横向项目)
  11. “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 (陈鹏), 07/2022-07/2024, ￥50万 (企业横向项目)
  12. 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,  01/2019-12/2022 (参与)
  13. 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, 01/2019-12/2023（参与）
  14. 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）
  15. 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）
  16. 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, 01/2014-12/2017（参与）
  17. 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）
view series

SELECTED PUBLICATIONS
Updated on 01/20/2022 11:12:08 PM

     JOURNAL PAPERS

  1. Peng Chen, Yuhao Wu, Ge Xin*, Meng Rao, Homotypic multi-source joint representation with dynamic hierarchical feature tracing in hybrid Walsh–frequency domain for prior knowledge-constrained fault diagnosis of multi-cylinder hydraulic pumps, Mechanical Systems and Signal Processing, 2025, (SCI, JCR 1区, 中科院(工程技术) 1区, Top期刊)
  2. Peng Chen, Qingsheng Wei, Yazheng Wang, Ge Xin, Changbo He*, Transient-aware spectral segmentation informed by energy-distribution modeling and optimized band selection for railway bogie fault diagnosis, Control Engineering Practice, 2025, (SCI, JCR 1区, 中科院(计算机科学) 2区)
  3. Ruijin Zhang, Peng Chen*, Jia Gao, Dong Wu, Renhui Yu, Hierarchical multi-granularity prototype-contrastive learning with sinkhorn–knopp for open-set fault diagnosis in planetary gearboxes, Applied Soft Computing, 2025. (学生一作, SCI, JCR 1区, 中科院(计算机: 人工智能) 2区, Top期刊) 
  4. Peng Chen, Ruijin Zhang, Changbo He*,Yaqiang Jin, Shuai Fan, Junyu Qi, Chengning Zhou, Chun Zhang, Progressive contrastive representation learning for defect diagnosis in aluminum disk substrates with a bio-inspired vision sensor, Expert Systems With Applications, (2025) Volume 289,128305, DOI: 10.1016/j.eswa.2025.128305 [pdf] (SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
  5. Changbo He, Zehua Fan, Peng Chen, Wei Fan, Zhixiong Li, Hongkun Li. A sequence ensemble method based on sparse transformer with bidirectional gated recurrent convolution unit for remaining useful life prediction, Nondestructive Testing and Evaluation, 2025, DOI: 10.1080/10589759.2025.2558066 [pdf] (SCI, JCR 1区, 中科院(材料科学) 2区)
  6. DongWu, Yazheng Wang, Peng Chen*, Chunhua Guo, Renpu Li, Changbo He, Ge Xin, Cross-correlation heat-maps synthesis with Walsh-Fourier transformation in articulated robotic systems diagnostics, Measurement, 2025. (SCI, JCR 1区, 中科院(工程技术) 2区) 
  7. Changbo He, Qi Meng, Xuefang Xu, Peng Chen*, Pengfei Liang, Jiahui Cao,  An Improved Lightweight Residual Network Model Deployed on the Edge device for the unsupervised Cross-Domain Fault Diagnosis, Expert Systems With Applications, Volume 296, Part B, 2026, 129106, DOI: 10.1016/j.eswa.2025.129106 [pdf] (SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
  8. Peng Chen*, Yuhao Wu, Junxiao Ma, Renhui Yu, Ge Xin, Changbo He*, Multi-source vibration demodulation for railway bogie systems: An optimized MCKD framework with vibration weighted grading distribution and latent cyclic pattern discovery, Journal of Sound and Vibration, 2025. (SCI, JCR 1区, 中科院(工程技术) 2区) 
  9. Peng Chen*, Jia Gao, Yuhao Wu, Changbo He*, Ge Xin, Shuai Fan, Junyu Qi, Semi-supervised transfer graph neural representation learning with few-shot adaptation for gearbox diagnostics under extraneous transient noise, Structural Health Monitoring, 2025. (SCI, JCR 1区, 中科院(工程技术) 2区) 
  10. Peng Chen, Junxiao Ma, Jia Gao, Ge Xin*, Changbo He, Markovian spectral transition modeling with temporal dependencies for railway bogie axle bearing diagnostics in non-stationary transient environments, Nonlinear Dynamics, 2025. (SCI, JCR 1区, 中科院(工程技术) 2区)
  11. Dong Wu, Peng Chen*, Qingsheng Wei, Junxiao Ma, Junyu Qi, Chunhua Guo, Renpu Li, Hai Jiang, Knowledge distillation-based remote diagnostics for machine tools in degraded visual environments, Engineering Research Express, 2025 (SCI, JCR 1区, 中科院(工程技术) 4区)
  12. Chaojun Xu, Peng Chen*, Jia Gao, Yaqiang Jin, Meng Rao, Semi-Supervised Transfer Learning Preserving Spatial Homogeneity for Gearbox Diagnostics in Extraneous Transient Noise, Nondestructive Testing and Evaluation, 2025, DOI: 10.1080/10589759.2025.2544893 [pdf] (学生一作, SCI, JCR 1区, 中科院(材料科学) 2区)
  13. Chaojun Xu, Yaqiang Jin*, Junxiao Ma, Yuhao Wu, Peng Chen*, Ge Xin, Changbo He, CyclicalNet: A dense-connected architecture for multi-scale cyclic feature learning in planetary gearbox fault diagnosis, ASCE-ASME J. Risk Uncertainty Eng. Syst.: Part B Mech. Eng., 2025, DOI: 10.1115/1.4069653 (学生一作，ESCI, JCR 1区, 中科院(工程技术) 4区)
  14. Qingsheng Wei, Peng Chen*, Jia Gao, Ruijin Zhang, Changbo He, Junyu Qi, EKBD-MK: Entropy-Kurtosis bilateral discernment with maximum kurtosis blind deconvolution for fault diagnosis in wind turbine systems, ASCE-ASME J. Risk Uncertainty Eng. Syst.: Part B Mech. Eng., 2025, DOI: 10.1115/1.4069528 (学生一作，ESCI, JCR 1区, 中科院(工程技术) 4区)
  15. Changbo He, Qi Meng, Peng Chen, Yaqiang Jin, Wei Fan, Zhibo Yang, A Multi-Scale Feature Residual Network with Staged Optimization for Unsupervised Cross-Domain Fault Diagnosis, IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-11, 2025, 3545211, DOI: 10.1109/TIM.2025.3580878 [pdf] (SCI, JCR 1区, 中科院(电子电气) 2区)
  16. Yazheng Wang, Peng Chen*, Qingsheng Wei, Junyu Qi, Changbo He, Chengning Zhou, Multi-Channel Fusion Scale Transformed Signals with Magnetic Leakage for Damage Detection in Steel Wire Ropes, Nondestructive Testing and Evaluation, 2025, DOI: 10.1080/10589759.2025.2543513 [pdf] (学生一作, SCI, JCR 1区, 中科院(材料科学) 2区)
  17. Peng Chen*, Jia Gao, Ruijin Zhang, Yaqiang Jin*, Renhui Yu, Changbo He, Junyu Qi, Metric-guided graph contrastive learning: An unsupervised approach for few-shot gearbox fault diagnosis, Measurement Science and Technology, 2025, 36(7): 076110, DOI: 10.1088/1361-6501/ade7a7 [pdf] (SCI, JCR 1区, 中科院(工程技术) 3区)
  18. Peng Chen, Jia Gao, Yaqiang Jin, Chengning Zhou, Junyu Qi, Changbo He*, Physics-Aware Digital Twin and Few-Shot Learning for Self-Supervised Gearbox Fault Diagnosis, Measurement Science and Technology, 2025, 36(9): 096106, DOI: 10.1088/1361-6501/adfc3b [pdf] (SCI, JCR 1区, 中科院(工程技术) 3区)
  19. Peng Chen*, Yuhao Wu, Shuai Fan, Changbo He, Yaqiang Jin, Junyu Qi, Chengning Zhou, Adaptive signal regime for identifying transient shifts: A novel approach toward fault diagnosis in wind turbine systems, Ocean Engineering, (2025) Volume 325, 120798, DOI: 10.1016/j.oceaneng.2025.120798. [pdf] (SCI, JCR 1区, 中科院(工程：海洋) 1区, Top期刊)
  20. Peng Chen*, Junxiao Ma, Changbo He, Yaqiang Jin, Shuai Fan, Semi-supervised consistency models for automated defect detection in carbon fiber composites with limited data, Measurement Science and Technology, 2025, 36(4): 046109. DOI: 10.1088/1361-6501/adc031 [pdf] (SCI, JCR 1区, 中科院(工程技术) 3区)
  21. Changbo He, Longwei Chen, Nuo Sun, Peng Chen, Xuefang Xu, Siliang Lu,  Redundancy Modification and Potential Feature Reactivation Network for Predicting the Remaining Useful Life of Machines, IEEE Sensors Journal,  vol. 25, no. 3, pp. 5060-5072, 2025, DOI:10.1109/JSEN.2024.3514168. [pdf] (SCI, JCR 1区, 中科院(电子电气) 2区)
  22. Peng Chen*, Ruijin Zhang, Shuai Fan, Junyu Guo, Xingkai Yang, Step-wise contrastive representation learning for diagnosing unknown defective categories in planetary gearboxes, Knowledge-Based Systems （2025）Volume 309, 112863, DOI: 10.1016/j.knosys.2024.112863. [pdf] (SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
  23. Peng Chen*, Yuhao Wu, Chaojun Xu, Cheng-Geng Huang, Mian Zhang, Junlin Yuan, Interference suppression of non-stationary signals and bearing diagnosis under transient noise environments, IEEE Transactions on Reliability, vol. 74, no. 3, pp. 4047-4061,2025, DOI: 10.1109/TR.2025.3527739 [pdf] (SCI, JCR 1区, 中科院(计算机科学) 2区)
  24. Peng Chen*, Zhigang Ma, Chaojun Xu, Mian Zhang, He Li, Kai Zheng, Yaqiang Jin, Scale-aware Domain Adaptation for Surface Defects Detection on Machine Tool Components in Contaminant Measurements, IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-9, 2025, 3502109, DOI: 10.1109/TIM.2024.3502888. [pdf] (SCI, JCR 1区, 中科院(工程技术) 2区, Top期刊)
  25. Shuai Fan, Tao He, Weihao Li, Chuang Zeng, Peng Chen, Lufeng Chen, Jiangpeng Shu,  Machine learning-based classification of quality grades for concrete vibration behaviour, Automation in Construction, vol. 167, p. 105694, Nov. 2024, DOI: 10.1016/j.autcon.2024.105694. [pdf] (SCI, JCR 1区, 中科院(工程技术) 1区, Top期刊，高被引论文，热点论文)
  26. 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, vol. 11, issue: 13, pp. 23045 – 23054, 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)
  27. 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)
  28. 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)
  29. 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)
  30. 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)
  31. 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)
  32. 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. 陈鹏, 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，自然科学基金优秀结题报告 (口头报告), 国家自然科学基金委员会机械设计与制造学科, IMCC 2025, 2025/10/23-26, 广州白云国际会议中心
  2. Chun Zhang, Yuhao Wu, Peng Chen*, and Meng Rao, Neurons-State-Attention-Driven Trustworthy Framework: An Interpretable Networks for Wind Turbine Gearbox Fault Diagnosis, 2025 Global Reliability and Prognostics and Health Management Conference (PHM-Xi’an), Xi’an, China, 2025
  3. 范帅，肖瑶，李世超，陈路锋，黄瑞，陈鹏，大语言模型驱动的三维CAD模型自动生成方法，第29届全国工业设计学术年会暨2025工业设计工程大会，2025 (优秀论文，证书编号：29ACIDC-CIDE2025-LW-010)
  4. Junxiao Ma, Yuhao Wu, Peng Chen*, Chengning Zhou, Changbo He and Qingsheng Wei, Markov Latent Frequency Transition Analysis for Robust Bearing Diagnosis in Transient Noise Scenarios, 2024 Global Reliability and Prognostics and Health Management Conference (PHM-Beijing), Beijing, China, 2024, pp. 1-8, DOI: 10.1109/PHM-Beijing63284.2024.10874644 [pdf]
  5. Jia Gao, Peng Chen*, Yaqiang Jin, Chaojun Xu, Few-Shot Graph Neural Networks Framework Incorporating DGAT for Planetary Gearbox Diagnosis, Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic, Springer Nature Switzerland, Cham, 2025, pp. 372–384. DOI: 10.1007/978-3-031-73407-6_35
    (2024, TEPEN2024-IWFDP: International Workshop on Fault Diagnostics and Prognostics, Qingdao, China, May 08th-11th, 2024,     Program Chair and Session Chair on “Artificial Intelligence and Machine Learning”) [Link][Certificate of Session Chair]
  6. 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 the TEPEN International Workshop on Fault Diagnostic and Prognostic, Springer Nature Switzerland, Cham, 2024, pp. 190–200. DOI: 10.1007/978-3-031-69483-7_17
  7. Shuai Fan, Huiyong Luo, Yao Xiao, Ye Liang, Zelin Su, Guangkui Song and Peng Chen, 2024, July. Research on Human Lower Limb Gait Time Series Prediction Method Based on CNN and LSTM. In International Conference on Intelligent Robotics and Applications (pp. 189-201). Singapore: Springer Nature Singapore. DOI: 10.1007/978-981-96-0783-9_14
  8. 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.  
  9. 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. 
  10. 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. 
  11. 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
 

       THESES SUPERVISED

  1. MS Thesis, Zhigang Ma (马志刚), Research on Adaptive Anti-interference Mechanism and Remote Collaborative Diagnosis of Mechanical Key Components (机械关键部件的自适应抗干扰机理与远程协同诊断方法研究), shantou University, 2025.
  2. MS Thesis, Chaojun Xu (许朝峻), Toward Fault Diagnosis of Wind Turbine Gearbox via Diffusion Representation and Scale Sensing Stack Modeling (扩散表征及尺度感知堆叠建模的风电齿轮箱故障诊断研究), shantou University, 2024.
 

       OTHERS

  1. “鉴钟氢”——基于光声衰荡光谱的氢⽓探测系统, 第十八届“挑战杯”广东大学生课外学术科技作品竞赛——一等奖，07/2025. [Certificate] (指导学生科技竞赛)
 

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