2014年7月于武汉大学电气工程学院本科毕业，获工学学士学位，湖北省优秀学位论文；2019年7月于清华大学电机工程与应用电子技术系博士毕业，获工学博士学位，北京市优秀毕业生；后从事博士后研究工作，2022年7月博士后出站留校任教，助理研究员。目前主要从事电磁无损检测与评估、智能传感、信号处理技术等方面的研究工作。获湖北省技术发明一等奖、日内瓦国际发明展金奖、北京市优秀毕业生等荣誉。主持国家自然科学基金青年项目、国家重点实验室研究基金面上项目、中国博士后自然科学基金面上项目等。近年来，共发表学术论文40余篇（其中SCI收录20余篇），申请发明专利30余件（其中已授权国家发明专利20余件，美国专利4件）。 个人简历 2022.07 ~ 今 清华大学 电机系 助理研究员 2019.07 ~ 2022.07 清华大学 电机系 博士后 2017.12 ~ 2018.04 英国 杜伦大学 工程与计算机科学系 访问学者 2014.08 ~ 2019.07 清华大学 电机系 获电气工程博士学位 2010.08 ~ 2014.07 武汉大学 电气工程学院 获电气工程学士学位 个人荣誉 2020年 湖北省技术发明一等奖 2019年 北京市优秀毕业生 2018年 日内瓦国际发明展金奖 2018年 日内瓦国际发明展突出创新奖 2018年 国家奖学金 2015年 远东无损检测新技术论坛论文一等奖 2014年 湖北省优秀学位论文

电磁无损检测与评估、智能传感、信号处理技术

学术组织任职 Guest Editor, Energies, Special Issue on Detection and Diagnosis in Oil and Gas Pipeline Editorial Board Member, International Journal of Energy and Power Engineering Member, IEEE 会员，中国电机工程学会/北京电机工程学会 国际期刊审稿人 IEEE Transactions on Instrumentation and Measurement IEEE Access Materials Research Express Measurement Science and Technology

L. Peng,S. Li, H. Sun and S. Huang. “A Pipe Ultrasonic Guided Wave Signal Generation Network Suitable for Data Enhancement in Deep Learning: US-WGAN,” Energies, 2022, 15(18): 6695, doi: 10.3390/en15186695. L. Peng, S. Huang, S. Wang and W. Zhao, “A Simplified Lift-Off Correction for Three Components of the Magnetic Flux Leakage Signal for Defect Detection,” IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-9, doi: 10.1109/TIM. 2021.3058407. L. Peng, S. Huang, S. Wang and W. Zhao, “An Element-Scaling-Revising Method (ESRM) for Magnetic Flux Leakage Signal Analysis,” International Journal of Applied Electromagnetics and Mechanics, 2018, 57(1): 83-92, doi: 10.3233/JAE-170128. L. Peng, S. Huang, S. Wang and W. Zhao, “Data Recovery Method for MFL Signals Based on Sinc Function for Oil & Gas Pipeline,” IEEE Sensors 2020. 2020: 1-4, doi: 10.1109/SENSORS47125.2020.9278657. L. Peng, S. Huang, S. Wang and W. Zhao, “Three-Dimensional Magnetic Flux Leakage Signal Analysis and Imaging Method for Tank Floor Defect,” The Journal of Engineering, 2018, 17: 1865-1870, doi: 10.1049/joe.2018.8344. L. Peng, S. Huang, S. Wang and W. Zhao, “High Precision Identification Method of Fan Main Shaft Defects Based on Rotating Magnetic Field Detection,” IEEE International Instrumentation and Measurement Technology Conference, 2021:1-6, doi: 10.1109/I2MTC 50364.2021.9460043. L. Peng, H. Sun, S. Wang, Q. Wang, W. Zhao and S. Huang, “Defect Detection and Identification of Point-Focusing Shear-Horizontal EMAT for Plate Inspection,” Conference on Precision Electromagnetic Measurements, 2020: 1-2, doi: 10.1109/CPEM49742.2020. 9191716. L. Peng, S. Huang, S. Wang and W. Zhao, “An Element-Combination Method for Arbitrary Defect Reconstruction from MFL Signals,” IEEE International Instrumentation and Measurement Technology Conference, 2020: 1-6, doi: 10.1109/I2MTC 43012.2020.9128671. L. Peng, S. Huang, S. Wang and W. Zhao, “A Simplified Calculation Model of MFL Signal of Defect Based on Lift-off Value,” Conference on Precision Electromagnetic Measurements, 2020: 1-2, doi: 10.1109/CPEM49742.2020.9191696. L. Peng, S. Huang, S. Wang and W. Zhao, “A 3-D Pseudo Magnetic Flux Leakage (PMFL) Signal Processing Technique for Defect Imaging,” IEEE International Instrumentation and Measurement Technology Conference, Auckland, New Zealand, 2019: 1-5, doi: 10.1109/I2MTC.2019.8827047. L. Peng, S. Huang, Q. Wang, S. Wang and W. Zhao, “A Lift-Off Revision Method for Magnetic Flux Leakage Measurement Signal,” Conference on Precision Electromagnetic Measurements, Paris, 2018: 1-2, doi: 10.1109/I2MTC.2018.8409535. L. Peng, S. Huang, S. Wang and W. Zhao, “The Real-Time Quantitation and Display Method for Incomplete Defect MFL Signals,” 19th World Conference on Non-Destructive Testing, WCNDT 2016: 1-10. S. Huang, L. Peng, H. Sun, Q. Wang, W. Zhao and S. Wang, “Frequency Response of an Underwater Acoustic Focusing Composite Lens,” Applied Acoustics, 2021, 173: 1-6, doi: 10.1016/j.apacoust.2020.107692. S. Huang, L. Peng, Q. Wang, S. Wang and W. Zhao, “An Opening Profile Recognition Method for Magnetic Flux Leakage Signals of Defect,” IEEE Transactions on Instrumentation and Measurement, 2019: 68(6): 2229-2236, doi: 10.1109/TIM. 2018.2869438. S. Huang, L. Peng, S. Wang and W. Zhao, “A Basic Signal Analysis Approach for Magnetic Flux Leakage Response,” IEEE Transactions on Magnetics, 2018, 54(10): 1-6, doi: 10.1109/TMAG.2018.2858201. S. Huang, L. Peng, Q. Wang, S. Wang and W. Zhao, “A Defect Opening Profile Estimation Method Based on the Right-Angle Characteristic of Vertical Component of MFL Signal,” Conference on Precision Electromagnetic Measurements, 2018: 1-5, doi: 10.1109/CPEM.2018.8500976. H. Sun, L. Peng, J. Lin, S. Wang, W. Zhao and S. Huang, “Microcrack defect quantification using a focusing high-order SH guided wave EMAT: the physics-informed deep neural network GuwNet,” IEEE Transactions on Industrial Informatics, 2022, 18(5):3235-3247, doi: 10.1109/TII.2021.3105537. H. Sun, L. Peng, S. Huang, S. Li, Y. Long, S, Wang, W. Zhao, “Development of a Physics-Informed Doubly Fed Cross-Residual Deep Neural Network for High-Precision Magnetic Flux Leakage Defect Size Estimation,” IEEE Transactions on Industrial Informatics, 2022, 18(3): 1629-1640, doi: 10.1109/TII.2021.3089333. H. Sun, L. Peng, S. Wang, Q. Wang, W. Zhao and S. Huang, “Effective Focal Area Dimension Optimization of Shear Horizontal Point-Focusing EMAT Using Orthogonal Test Method,” IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-8, doi: 10.1109/TIM.2021.3073713. H. Sun, L. Peng, S. Wang, S. Huang and K. Qu, “Development of Frequency-Mixed Point-Focusing Shear Horizontal Guided-Wave EMAT for Defect Inspection Using Deep Neural Network,” IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-14, doi: 10.1109/TIM.2020.3033941. H. Sun, L. Peng, S. Huang, Q. Wang, S. Wang and W. Zhao, “Analytical Model and Optimal Focal Position Selection for Oblique Point-Focusing Shear Horizontal Guided Wave EMAT,” Construction and Building Materials, 2020: 258: 1-8, doi: 10.1016/j. conbuildmat.2020.120375. H. Sun, L. Peng, S. Huang, S. Wang, Q. Wang and W. Zhao, “Mode Identification of Denoised SH Guided Waves Using Variational Mode Decomposition Method,” IEEE Sensors 2020. 2020: 1-3, doi: 10.1109/SENSORS47125.2020.9278659. H. Sun, L. Peng, S. Wang, Q. Wang, W. Zhao and S. Huang, “Effective Focal Area Dimension Optimization of Shear-Horizontal Point-Focusing EMAT Using Orthogonal Test Method,” Conference on Precision Electromagnetic Measurements, 2020: 1-2, doi: 10.1109/CPEM49742.2020.9191861s. S. Huang, H. Sun, L. Peng, S. Wang, Q. Wang and W. Zhao, “Defect Detection and Identification of Point-Focusing Shear-Horizontal EMAT for Plate Inspection,” IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-9, doi: 10.1109/TIM.2021.3062421. Y. Long, S. Huang, L. Peng, S. Wang and W. Zhao, “A Novel Compensation Method of Probe Gesture for Magnetic Flux Leakage Testing,” IEEE Sensors Journal, 2021, 21(9): 10854-10863, doi: 10.1109/JSEN.2021.3059899. Y. Long, S. Huang, L. Peng, S. Wang and W. Zhao, “A Characteristic Approximation Approach to Defect Opening Profile Recognition in Magnetic Flux Leakage Detection,” IEEE Transactions on Instrumentation and Measurement, 2021: 70: 1-12, doi: 10.1109/TIM.2021.3050185. Y. Long, S. Huang, L. Peng, W. Wang, S. Wang and W. Zhao, “Internal and External Defects Discrimination of Pipelines Using Composite Magnetic Flux Leakage Detection,” IEEE International Instrumentation and Measurement Technology Conference, 2021: 1-6, doi: 10.1109/I2MTC50364.2021.9460069. Y. Long, S. Huang, L. Peng, S. Wang and W. Zhao, “A New Dual Magnetic Sensor Probe for Lift-off Compensation in Magnetic Flux Leakage Detection,” IEEE International Instrumentation and Measurement Technology Conference, 2020: 1-6, doi: 10.1109/I2MTC43012.2020.9129204. Y. Long, S. Huang, L. Peng, S. Wang and W. Zhao, “A Characteristic Approximation Approach to Defect Edge Detection in Magnetic Flux Leakage Testing,” Conference on Precision Electromagnetic Measurements, 2020: 1-2, doi: 10.1109/ CPEM49742.2020.9191752. W. Wang, S. Huang, L. Peng, Y. Long, S. Wang and W. Zhao, “An Improved MFL Method Fusing Multi-Space Magnetic Field Information for The Surface Defect Inspecting,” IEEE International Instrumentation and Measurement Technology Conference, 2021, pp. 1-6, doi: 10.1109/I2MTC50364.2021.9460085. W. Wang, S. Huang, L. Peng, S. Wang and W. Zhao, “Identifying Surface Defect Opening Profiles Based on the Uniform Magnetic Field Distortion,” IEEE International Instrumentation and Measurement Technology Conference, 2020: 1-6, doi: 10.1109/I2MTC43012.2020.9129184. Y. Long, J. Zhang, S. Huang, L. Peng, W. Wang, S. Wang, W. Zhao, "A Novel Crack Quantification Method for Ultra-High-Definition Magnetic Flux Leakage Detection in Pipeline Inspection," IEEE Sensors Journal, 2022, 22(16): 16402-16413, doi: 10.1109/JSEN.2022.3190684. H. Sun, S. Wang, S. Huang, L. Peng, Q. Wang and W. Zhao, “Design and Characterization of an Acoustic Composite Lens With High-Intensity and Directionally Controllable Focusing,” Scientific Reports, 2020, 10: 1469, doi: 10.1038/s41598-020-58092-6. H. Sun, S. Wang, S. Huang, L. Peng, Q. Wang, W. Zhao and Jun Zou, “Point-Focusing Shear-Horizontal Guided Wave EMAT Optimization Method Using Orthogonal Test Theory,” IEEE Sensors Journal, 2020, 20(12): 6295-6304, doi: 10.1109/ JSEN.2020.2976198. H. Sun, S. Wang, S. Huang, L. Peng, Q. Wang and W. Zhao, “Oblique Point-Focusing Shear-Horizontal Guided-Wave Electromagnetic Acoustic Transducer with Variable PPM Spacing,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2020, 67(8): 1691-1700, doi: 10.1109/TUFFC.2020.2980621. H. Sun, S. Wang, S. Huang, L. Peng, Q. Wang and W. Zhao, “3D Focusing Acoustic Lens Optimization Method Using Multi-Factor and Multi-Level Orthogonal Test Designing Theory,” Applied Acoustics, 2020, 170: 107538, doi: 10.1016/j.apacoust. 2020.107538. S. Wang, S. Huang, Q. Wang, L. Peng and W. Zhao, “Accelerated Optimizations of an Electromagnetic Acoustic Transducer With Artificial Neural Networks as Metamodels,” Journal of Sensors an Sensor Systems, 2017, 6(2): 269-284, doi: 10.5194/jsss-6-269-2017. S. Huang, H. Sun, S. Wang, K. Qu, W. Zhao and L. Peng, “SSWT and VMD Linked Mode Identification and Time-of-Flight Extraction of Denoised SH Guided Waves,” IEEE Sensors Journal, 2021, 21(13): 14709-14717, doi: 10.1109/JSEN.2021.3051658. 缪立恒, 潘峰, 彭丽莎, 黄松岭. 基于漏磁信号深度特性的缺陷深度轮廓迭代优化方法. 中国电机工程学报, 2022, 42(8): 3077-3086, doi: 10.13334/j.0258-8013.pcsee.211252. 黄松岭, 彭丽莎, 赵伟, 王珅.缺陷漏磁成像技术综述. 电工技术学报, 2016, 31(20): 55-63, doi: 10.19595/j.cnki.1000-6753.tces. 2016.20.005. 彭丽莎, 王珅, 刘欢, 黄松岭, 赵伟. 漏磁图像的改进灰度级—彩色变换法. 清华大学学报(自然科学版), 2015, 55(5): 592-596, doi: 10.16511/j.cnki.qhdxxb.2015.05.018. 彭丽莎, 黄松岭, 赵伟, 王珅. 漏磁检测中的缺陷重构方法. 电测与仪表, 2015, 52(13): 1-6; 30. 黄松岭, 彭丽莎, 赵伟, 王珅. 无损检测中的缺陷漏磁成像技术.远东无损检测新技术论坛论文集, 2015: 347-354.