职称：副教授
部门：工学院
电子邮件： pengchen@alu.uestc.edu.cn (优先)
dr.pengchen@foxmail.com
个人主页: https://drpengchen.vip.cpolar.cn/
Google scholar: https://scholar.google.com/citations?user=RRqTehMKdJUC&hl=zh-CN&oi=sra
办公地址：机电楼301(I)
个人简介
陈鹏，工学博士，副教授、硕士生导师。入选汕头大学“卓越人才计划”，获评汕头市高层次人才；国家自然科学基金通讯评审专家，IEEE（美国电气与电子工程师学会）会员；中国振动工程学会信号处理分会、动态测试专业委员会、转子动力学分会委员；教育部学位与研究生教育发展中心学位论文评审专家、全国本科毕业论文（设计）抽检评审专家。2020年于电子科技大学获工学博士学位，导师为加拿大工程院院士、IEEE Fellow 左明健（Ming J. Zuo）教授；2019-2020年在比利时鲁汶大学（KU Leuven）联合培养攻读博士；2018年比勒陀利亚大学（University of Pretoria）P. Stephan Heyns（南非科学院院士）团队访问研究学者。作为项目负责人，主持国家自然科学基金青年项目（优秀结题）、广东省基础与应用基础研究基金面上项目2项、广东省科技计划、广东特种设备检测研究院（顺德）检测院委托项目等共8项；并参与国家重点研发计划、国家自然科学基金重点项目及面上项目等6项。以第一/通讯作者在JCR/中科院一区、二区Top期刊发表SCI论文40余篇，其中高被引/热点论文2篇；论文发表于行业旗舰刊物 MECH SYST SIGNAL PR、 EXPERT SYST APPL 、KNOWL BASED SYST、 ENG APPL ARTIF INTELL 、IEEE INTERNET THINGS J、 IEEE T INSTRUM MEAS、 IEEE T RELIAB 、OCEAN ENG 、J SOUND VIB 、MEAS 、NONDESTRUCT TEST EVAL等期刊；授权发明专利6项。兼任多家国际期刊审稿人及部分期刊客座编辑，包括IEEE INTERNET THINGS J、IEEE T IND INFORM、IEEE T IND ELECTRON IEEE T INSTRUM MEAS、IEEE T RELIAB、MECH SYST SIGNAL PR、KNOWL-BASED SYST、ADV ENG INFORM、SENSORS-BASEL等。
主要研究方向/领域：智能声学与多模态信号处理（多尺度时频与稀疏/图表示、阵列感知与源分离）、可信多模态人工智能与协同计算（生成式模型、自适应感知、具身交互、可信联邦学习与端–边–云协同）、工业智能驱动的故障诊断与预测性健康管理（面向智能交通、风电系统、伺服机器人及智能制造关键部件）。
工作经历
2021/03- 汕头大学 讲师、副教授
2016/05-2018/12 UoG-UESTC Joint School,
1) Glasgow Teaching assistant (GTA) in Dynamic Control (Spring 2016, 2017 and 2018) With Dr. Julien Le Kernec
2) GTA in Professional Practice (Spring 2018) with Associated Prof. Lei Li,
3) GTA in Control (Fall 2017 and 2018) with Associated Prof. Kelum Gamage,
4) GTA in Digital Communication (Fall 2016, 2017 and 2018) with Prof. Muhammad Imran and Dr. Sajjad Hussain
2012/09-2014/07，江门中裕摩托集团有限公司，工程师
科研/教学项目
[1] 国家自然科学基金，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，52105111, 01/2022-12/2024（优秀结题、受邀口头报告、项目负责人）
[2] 广东省基础与应用基础研究基金 (自然科学基金面上项目) ，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, 2025A1515012256, 01/2025-12/2027（项目负责人）
[3] 广东特种设备检测研究院顺德检测院 (企业委托项目)，港口起重机械起升机构故障诊断算法研究与开发，XTJ-KY01-202503-030，04/2025-04/2026（项目负责人）
[4] 广东省基础与应用基础研究基金 (自然科学基金面上项目) ，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，2022A1515010859，01/2022-12/2024（项目负责人）
[5] 广东省科技专项资金项目，海上风力机传动链运行状态监测与故障诊断方法研究，STKJ2021171，10/2021-09/2023（项目负责人）
[6] 汕头大学科研启动项目，风电关键部件耦合信号特征表征及融合网络模型研究，NTF21029，01/2022-04/2024（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, 10/2023-10/2025（项目负责人）
[8] 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)
[9] 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）
[10] 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）
[11] 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）
[12] 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）
[13] 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）
部分代表性期刊论文 (*: 唯一通讯作者)
(最新发表论文: https://drpengchen.vip.cpolar.cn/research-work/)
[1] 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 (SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
[2] 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, DOI: 10.1016/j.eswa.2025.128305 (SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
[3] 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)
[4] Peng Chen, Qingsheng Wei, 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(工程技术) 1区, Top期刊)
[5] Ruijin Zhang, Peng Chen*, Jia Gao, Yuhao Wu, 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)
[6] 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 (SCI, JCR 1区, 中科院(材料科学) 2区)
[7] 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, 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, SSKD: Self-Supervised Knowledge Distillation for Reliable Remote Surface Defect Detection under Wireless Transmission Attenuation, Engineering Research Express, 2025, DOI: 10.1088/2631-8695/ae25ba (SCI, JCR 1区, 中科院(工程技术) 4区)
[12] 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 Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering, 2025, DOI: 10.1080/10589759.2025.2544893 (学生一作，ESCI, JCR 1区, 中科院(工程技术) 4区)
[13] 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 (SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
[14] 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 (SCI, JCR 1区, 中科院(计算机科学) 1区, Top期刊)
[15] 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 (SCI, JCR 1区, 中科院(工程：海洋) 1区, Top期刊)
[16] 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 (SCI, JCR 1区, 中科院(材料科学) 2区)
[17] 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. Nondestructive Testing and Evaluation, 2025, DOI: 10.1080/10589759.2025.2543513 (SCI, JCR 1区, 中科院(材料科学) 2区)
[18] 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 (SCI, JCR 1区, 中科院(工程技术) 3区)
[19] 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, DOI: 10.1088/1361-6501/adfc3b (SCI, JCR 1区, 中科院(工程技术) 3区)
[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 (SCI, JCR 1区, 中科院(工程技术) 3区)
[21] 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 Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering, 2025, DOI: 10.1115/1.4069528 (学生一作，ESCI, JCR 1区, 中科院(工程技术) 4区)
[22] 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 (SCI, JCR 1区, 中科院(电子电气) 2区)
[23] 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 (SCI, JCR 1区, 中科院(电子电气) 2区)
[24] 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 (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)
[25] 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 (SCI, JCR 1区, 中科院(电子电气) 2区, Top期刊)
[26] 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 (SCI, JCR 1区, 中科院(计算机科学) 2区)
[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 (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 (SCI, JCR 1区, 中科院(电子电气) 2区, Top期刊)
[29] Peng Chen, Yu Li, K. S. Wang, M. J. Zuo, P. S. Heyns, Stephan Baggeröhr, A threshold self-setting 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 (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, 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 (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, 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 (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, 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 (SCI, JCR 1区, 中科院(工程技术) 2区, Top期刊)
部分会议论文
[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 (受邀口头报告), 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] Shuai Fan, Huiyong Luo, Yao Xiao, Ye Liang, Zelin Su, Guangkui Song, Peng Chen, A Gait Phase Detection and Gait Spatio-Temporal Features Extraction Method Based on the Inertial Measurement Unit Conference: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct. 23, 2025.
[3] 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
[4] 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)
[5] 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
[6] 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”)
[7] 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
[8] 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
[9] 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.
[10] 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 (PHM Chengdu), 2016, IEEE, pp. 1 6, DOI: 10.1109/PHM.2016.7819887.
[11] 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.
[12] 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.
发明专利
[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，中国，ZL 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，中国，ZL 202211595005.4
[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
[5] 王科盛，李宇，陈鹏，何倩鸿，基于深度卷积对抗神经网络的旋转机械在线故障监测方法, 2018.10.12, 中国，CN 108647786 B
[6] 王科盛，冯珂，王况，韦冬东，陈鹏，宋理伟，基于轴心轨迹的旋转机械转速计算装置及方法, 2019.05.21, 中国，CN 106126840 B
