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：科技楼615-2
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年赴比勒陀利亚大学（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面上项目、青年科学基金项目（优秀结题）、广东省基础与应用基础研究基金、广东省科技计划、中航工业重点研发子课题、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及企业委托项目（包括广东特种设备检测研究院（顺德）检测院委托项目）等20余项；并参与国家重点研发计划、国家自然科学基金重点项目及国家自然科学基金面上项目等6项。以第一/通讯作者在JCR一区及中科院一区、二区Top期刊发表SCI论文50余篇，其中2篇入选高被引/热点论文；相关成果发表于Mech. Syst. Signal Process.、IEEE Trans. Syst. Man Cybern. Syst.、Expert Syst. Appl.、Knowl.-Based Syst.、Eng. Appl. Artif. Intell.、IEEE Internet Things J.、IEEE Trans. Instrum. Meas.、IEEE Trans. Reliab.、J. Sound Vib.、Struct. Health Monit.、Nonlinear Dyn.、Ocean Eng.等期刊；授权发明专利6项。多次担任UNIfied 2026、IMCC 2025、TEPEN 2024-IWFDP等学术会议分会场/论坛主席、程序委员会主席并作受邀报告；担任Scientific Reports、Sensors等国际期刊编委或客座编辑。
主要研究方向/领域：智能声学与多模态信号处理、机器视觉与先进传感、可信多模态 AI 与协同计算、工业伺服机器人具身智能、新能源锂电及关键装备智能检测与故障诊断（面向航电机载动力、智能交通/高速列车、风电传动及工业机器人等系统）。
工作经历
2021/03-至今 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 Associate Prof. Lei Li
3) GTA in Control (Fall 2017 and 2018), with Associate 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] 国家自然科学基金面上项目，瞬态宽频扰动下靶向抑制的多缸泵跨通道相干调制机理与欠定表征研究，52675154，2027/01-2030/12（项目负责人）
[2] 国家自然科学基金青年科学基金项目（C类，原青年科学基金项目），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，52105111，2022/01-2024/12（项目负责人，优秀结题、受邀口头报告）
[3] 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，2025A1515012256，2025/01-2027/12（项目负责人）
[4] 中航工业重点研发项目（子课题），机载航电与动力装置故障预警与剩余寿命决策支持系统研发，2026/03-2027/03（项目负责人）
[5] 企业委托项目，广东特种设备检测研究院（顺德）检测院，起重机械起升机构故障预警与健康管理平台开发，XTJ-KY01-202512-023，2026/01-2026/12（项目负责人）
[6] 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，2022A1515010859，2022/01-2024/12（项目负责人）
[7] 企业委托项目，广东特种设备检测研究院（顺德）检测院，港口起重机械起升机构故障诊断算法研究与开发，XTJ-KY01-202503-030，2025/04-2026/04（项目负责人）
[8] 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，STKJ2021171，2021/10/25-2023/09/30（项目负责人）
[9] 汕头大学科研启动经费项目（SRIG），风电关键部件耦合信号特征表征及融合网络模型研究，NTF21029，2022/01/10-2024/04/30（项目负责人）
[10] 教学质量与教学改革工程项目，基于《机械智能运维基础》的课程思政教学与实践，181243249，2024/06/07-2025/08/31（项目负责人）
[11] 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，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，NSJH2025008，2025/01-2027/12（共同负责人）
[12] 企业横向项目，风力发电塔筒结构安全运维机器人研究，2022/07-2025/07（共同负责人）
[13] 企业横向项目，新能源发电场站智慧化运维平台开发，2022/07-2025/07（共同负责人）
[14] 企业横向项目，工业机器人的故障诊断方法研究，2022/07-2024/07（共同负责人）
[15] 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）
[16] 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）
[17] 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，51537010，2019/01-2023/12（参与）
[18] 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，2017YFC0108400，2017/08-2019/07（参与）
[19] 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）
[20] 中央高校基本科研业务费项目，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，ZYGX2016J111，2017/08-2018/12（参与）
部分代表性期刊论文（*: 通讯作者）
(最新发表论文: https://drpengchen.vip.cpolar.cn/research-work/)
[1] Peng Chen, Wentao Guo, Changbo He*, Junyu Qi, Dynamic Periodic-Transient Disentanglement Metric: Mitigating Cross-Cylinder Interference for Coupling-Aware Diagnosis of Multi-Cylinder Hydraulic Pumps, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2026（SCI, JCR 1区, 中科院（工程技术）1区, Top期刊）
[2] Yazheng Wang, Peng Chen*, Chengning Zhou, Enyu Yang, Shuai Fan, Target-Guided Adaptive Multi-Band Demodulation and Confidence-Weighted Fusion for Robotic Manipulator Fault Diagnosis Under Coupled Transmission Interference, IEEE Transactions on Reliability, 2026（SCI, JCR 1区, 中科院（计算机科学）2区）
[3] Enyu Yang, Zhenhua Li, Peng Chen*, Chun Zhang, Jiarong Xu, Junyu Qi, A transient-noise-disentangled semi-supervised learning framework for rotating machinery fault diagnosis, Measurement Science and Technology, 2026（SCI, JCR 1区, 中科院（工程技术）3区）
[4] Peng Chen, Qingsheng Wei, Yaqiang Jin, Wentao Guo, Zean Feng, Changbo He*, Shuai Fan, Prior-free targeted disentanglement of cyclostationary signatures and THMI-guided discriminative synthesis for railway bogie compound fault diagnosis, Applied Soft Computing, 2026（SCI, JCR 1区, 中科院（工程技术）2区, Top期刊）
[5] Changbo He, Gengbin Chen, Xuefang Xu, Liang Yu, Peng Chen*, Hongkun Li, Weak Fault Feature Extraction for Rolling Bearings via EWST-Guided Adaptive Chirp Mode Decomposition and Sparse Energy Product, Expert Systems with Applications, 2026（SCI, JCR 1区, 中科院（计算机科学）1区, Top期刊）
[6] Changbo He, Gengbin Chen, Xuefang Xu, Liang Yu, Peng Chen*, Hongkun Li, Robust Fault Diagnosis of Rolling Bearings under Strong Non-Gaussian Noise via Dual-Threshold Optimized EWT and Energy Normalized Fluctuation Coefficient, Structural Health Monitoring, 2026（SCI, JCR 1区, 中科院（工程技术）2区）
[7] Changbo He, Qiwei Ni, Peng Chen*, Qin Li, Wei Fan, Hongkun Li, Sparse Signal Recovery for Bearing Fault Diagnosis Using the Smoothed Impulse-Aware Lp/Lq Method, Structural Health Monitoring, 2026（SCI, JCR 1区, 中科院（工程技术）2区）
[8] Peng Chen, Yazheng Wang, Yuhao Wu, Yaqiang Jin, Changbo He*, Ge Xin, 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, 2026, 255, 114450, DOI: 10.1016/j.ymssp.2026.114450（SCI, JCR 1区, 中科院（工程技术）1区, Top期刊）
[9] Enyu Yang, Shidong Zhang, Peng Chen*, Renhui Yu, Changbo He, Junyu Qi, Frequency-consistency regularization in dual-stream time-frequency learning for semi-supervised rotating machinery fault diagnosis, Measurement Science and Technology, 2026, DOI: 10.1088/1361-6501/ae7507（SCI, JCR 1区, 中科院（工程技术）3区）
[10] Junyu Qi, Zhuyun Chen, Peng Chen, Yun Kong, Yi Qin, Weihua Li, TimeGPT for Mechanical System Degradation Assessment: A Large Time Series Model Approach, Chinese Journal of Mechanical Engineering, 2026, DOI: 10.1016/j.cjme.2026.100326（SCI, JCR 1区, 中科院（工程技术）2区）
[11] Changbo He, Liangliang Hu, Xuefang Xu, Peng Chen*, Wei Fan, Hongkun Li, A Cross-domain Bearing Fault Diagnosis Method Under Sample Imbalance Based on Multi-view Information Cross-integration Ensemble Learning, Structural Health Monitoring, 2026, DOI: 10.1177/14759217251414656（SCI, JCR 1区, 中科院（工程技术）2区）
[12] Ruijin Zhang, Peng Chen*, Yazheng Wang, Wentao Guo, Shidong Zhang, Changbo He, Junyu Qi, Hierarchical multi-granularity prototype-contrastive learning with Sinkhorn-Knopp for open-set fault diagnosis in planetary gearboxes, Nondestructive Testing and Evaluation, 2026, DOI: 10.1080/10589759.2026.2665287（SCI, JCR 1区, 中科院（材料科学）2区）
[13] 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, 2026, 174, 107009, DOI: 10.1016/j.conengprac.2026.107009（SCI, JCR 1区, 中科院（计算机科学）2区）
[14] 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, 289, 128305, DOI: 10.1016/j.eswa.2025.128305（SCI, JCR 1区, 中科院（计算机科学）1区, Top期刊）
[15] Changbo He, Zengyang Fu, Peng Chen, Xuefang Xu, Alessandro Paolo Daga, Siliang Lu, A confident cross-domain mixup-based network with dynamic label-distribution-aware margin regularization for bearing fault diagnosis under variable working conditions, Engineering Applications of Artificial Intelligence, 2026, 163(Part 3), 112964, DOI: 10.1016/j.engappai.2025.112964（SCI, JCR 1区, 中科院（计算机科学）1区, Top期刊）
[16] 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）
[17] Changbo He, Qi Meng, Xuefang Xu, Peng Chen*, Pengfei Liang, Jiahui Cao, An Improved Lightweight Residual Network Model Deployed on the Edge Device for Unsupervised Cross-Domain Fault Diagnosis, Expert Systems with Applications, 2026, 296(Part B), 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）
[18] Dong Wu, 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, 2026, 270, 120862, DOI: 10.1016/j.measurement.2026.120862（SCI, JCR 1区, 中科院（工程技术）2区, Top期刊）
[19] Peng Chen, Yuhao Wu, Junxiao Ma, Renhui Yu, Ge Xin, Changbo He*, Vibration-weighted maximum correlated kurtosis deconvolution and latent cyclic pattern discovery for fault diagnosis of high-speed rail bogies, Journal of Sound and Vibration, 2026, 627, 119657, DOI: 10.1016/j.jsv.2026.119657（SCI, JCR 1区, 中科院（工程技术）2区, Top期刊）
[20] 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, 2026, DOI: 10.1177/14759217251414344（SCI, JCR 1区, 中科院（工程技术）2区）
[21] 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, 2026, 114, 244, DOI: 10.1007/s11071-025-12114-y（SCI, JCR 1区, 中科院（工程技术）2区, Top期刊）
[22] 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, 7(4), 045431, DOI: 10.1088/2631-8695/ae25ba（SCI, JCR 1区, 中科院（工程技术）4区）
[23] 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）
[24] 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, ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 2026, 12(4), 041104, DOI: 10.1115/1.4069653（ESCI, JCR 1区, 中科院（工程技术）4区）
[25] 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, ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 2026, 12(4), 041102, DOI: 10.1115/1.4069528（ESCI, JCR 1区, 中科院（工程技术）4区）
[26] 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, 2025, 74, 1-11, 3545211, DOI: 10.1109/TIM.2025.3580878（SCI, JCR 1区, 中科院（电子电气）2区）
[27] 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, 41(8), 4884-4909, DOI: 10.1080/10589759.2025.2543513（SCI, JCR 1区, 中科院（材料科学）2区）
[28] 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）
[29] Peng Chen, Jia Gao, Yaqiang Jin, Chengning Zhou, Junyu Qi, Changbo He*, Physics-aware dynamic spectral modeling integrated with weakly supervised few-shot learning for planetary gearbox fault diagnosis, Measurement Science and Technology, 2025, 36(9), 096106, DOI: 10.1088/1361-6501/adfc3b（SCI, JCR 1区, 中科院（工程技术）3区）
[30] 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, 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）
[31] 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）
[32] 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, 2025, 25(3), 5060-5072, DOI: 10.1109/JSEN.2024.3514168（SCI, JCR 1区, 中科院（电子电气）2区）
[33] 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, 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）
[34] 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, 2025, 74(3), 4047-4061, DOI: 10.1109/TR.2025.3527739（SCI, JCR 1区, 中科院（计算机科学）2区）
[35] 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, 2025, 74, 1-9, 3502109, DOI: 10.1109/TIM.2024.3502888（SCI, JCR 1区, 中科院（工程技术）2区, Top期刊）
[36] 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, 2024, 167, 105694, 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）
[37] 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, 11(13), 23045-23054, DOI: 10.1109/JIOT.2024.3382878（SCI, JCR 1区, 中科院（计算机科学）1区, Top期刊）
[38] 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, 2024, 73, 1-8, 3518308, DOI: 10.1109/TIM.2024.3383497（SCI, JCR 1区, 中科院（电子电气）2区, Top期刊）
[39] 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, 2023, 72, 1-11, 3513411, DOI: 10.1109/TIM.2023.3267522（SCI, JCR 1区, 中科院（工程技术）2区, Top期刊）
[40] 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, 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）
[41] 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, 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）
[42] 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, 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）
[43] 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, 148, 106953, DOI: 10.1016/j.measurement.2019.106953（SCI, JCR 1区, 中科院（工程技术）2区, Top期刊）
部分会议论文
[1] Chun Zhang, Peng Chen*, Ziang Xia, Zhenhua Li, Wentao Guo, An Interactive Time-Series Concept Bottleneck Framework for Interpretable Fault Diagnosis in Bearing Systems, 2026 UNIfied Conference on Advanced Sensing, Condition Monitoring, and Intelligent Maintenance Innovations (UNIfied), Guangzhou, China, May 14-16, 2026（Forum Chair; Distinguished Session Speaker, Session 2: Advanced Sensing and Signal Processing-2）. Invited talk: “Collaborative Characterization and Decoupling Diagnosis of Transient Features from Multi-Source Coupled Signals in High-End Equipment under Broadband Transient Interference”.
[2] Lunjia Zhang, Shuai Fan, Zelin Su, Yao Xiao, Shichao Li, Shun Gao, Peng Chen, Chao Li, Research on Trajectory Planning and Motion Control of a Polishing Parallel Robot for the Aspheric Optical Mirror, ICMD: International Conference on Mechanical Design, 2025, pp. 1010-1025, DOI: 10.1007/978-981-95-7904-4_72.
[3] 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，广州，2025/10/23-26。
[4] 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, 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct. 23, 2025.
[5] Chun Zhang, Yuhao Wu, Peng Chen*, 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-Xian), Xi’an, China, 2025, pp. 1-8, DOI: 10.1109/PHM-Xian66756.2025.11427542.
[6] 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）。
[7] Junxiao Ma, Yuhao Wu, Peng Chen*, Chengning Zhou, Changbo He, 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.
[8] 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 (TEPEN 2024), Mechanisms and Machine Science, vol. 141, Springer, Cham, DOI: 10.1007/978-3-031-73407-6_35（Program Chair and Session Chair, “Artificial Intelligence and Machine Learning”）.
[9] 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.
[10] Shuai Fan, Huiyong Luo, Yao Xiao, Ye Liang, Zelin Su, Guangkui Song, Peng Chen, Research on Human Lower Limb Gait Time Series Prediction Method Based on CNN and LSTM, International Conference on Intelligent Robotics and Applications, Singapore: Springer Nature Singapore, 2024, pp. 189-201, DOI: 10.1007/978-981-96-0783-9_14.
[11] Peng Chen, K. S. Wang, M. J. Zuo, A generalized synchroextracting transform for fast and strong frequency modulated signal analysis, Condition Monitoring and Diagnostic Engineering Management, 2018, pp. 189-196.
[12] Peng Chen, K. S. Wang, Ke Feng, Application of order-tracking Holospectrum to cracked rotor fault diagnostics under nonstationary conditions, Prognostics and System Health Management Conference (PHM-Chengdu), 2016, IEEE, pp. 1-6, DOI: 10.1109/PHM.2016.7819887.
[13] 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, 2018.
[14] 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, pp. 1-5, DOI: 10.1109/PHM.2016.7819880.
授权发明专利
[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，2024.01.17，中国，ZL 2024 1 0063788.4。
[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，ZL 2022 1 1595005.4。
[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，ZL 2019 1 0859281.2。
[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，ZL 2018 1 0838883.9。
[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，ZL 2018 1 0864778.6。
[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，ZL 2016 1 0503412.6。
指导研究生及就业/升学情况（部分）
[1] 吴宇豪：《机械装备多源耦合信号特征联合表征与瞬态特征解耦诊断研究》，硕士学位论文，汕头大学，2026年（优秀毕业论文、优秀硕士研究生）；就业去向：中联重科中央研究院。
[2] 高嘉：《非完备数据下旋转机械机理融合图学习与孪生诊断研究》，硕士学位论文，汕头大学，2026年（优秀毕业论文）；就业去向：选调生（公务员）。
[3] 张锐进：《面向开放环境未知故障的渐进式多粒度对比表征及故障诊断研究》，硕士学位论文，汕头大学，2026年（优秀毕业论文、优秀硕士研究生）；升学去向：同济大学博士研究生。
[4] 马竣潇：《非平稳与瞬态干扰下装备微弱特征的半监督表征与自适应解耦诊断》，硕士学位论文，汕头大学，2026年；就业去向：中国燃气涡轮研究院（中国航发624所）。
[5] 马志刚：《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》，硕士学位论文，汕头大学，2025年；就业去向：科大讯飞人工智能（AI）研究院。
[6] 许朝峻：《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》，硕士学位论文，汕头大学，2024年；升学去向：山东大学博士研究生。
