暂无

1、纵向项目

2023.11 ~ 2026.10 国家重点研发计划青年科学家项目，在役油气管道状态时变电磁阵列智能成像无损检测技术（2023YFF0615200），任务负责人

2023.01 ~ 2025.12 北京市自然科学基金面上项目，电力线路导线接头电磁无损探伤及故障诊断方法研究（3232047），项目负责人

2022.07 ~ 2023.11 电力系统国家重点实验室研究基金面上项目，输电线路压接区域多参量检测及质量无损评估方法（SKLD22M02），项目负责人

2021.01 ~ 2023.12 国家自然科学基金青年项目，在役风机主轴磁声螺旋导波在线检测与评估方法研究（52007088），项目负责人

2020.11 ~ 2021.12 中国博士后科学基金面上项目，转动状态主轴磁声螺旋导波检测理论建模及反演方法研究（2020M680535），项目负责人

2021.01 ~ 2023.12 国家自然科学基金面上项目，疲劳微裂纹高阶模态导波检测方法研究（52077110），主要参与人

2020.06 ~ 2022.12 国家工信部工业互联网创新发展工程项目，基于工业互联网平台的通用非线性动力分析系统建设及推广应用（TC2008033），主要参与人

2018.09 ~ 2020.12 国家重点研发计划子课题，典型承压类特种设备损伤磁声复合式监检测技术研究（2018YFC0809002），主要参与人

2018.09 ~ 2020.12 国家重点研发计划子课题，新型检测监测传感器与智能数据采集终端（2018YFF0214701），主要参与人

2013.10 ~ 2018.10 国家重大科学仪器设备开发专项项目，铁磁性材料缺陷三维漏磁成像检测仪开发（2013YQ140505），主要参与人

2011.01 ~ 2015.12 国家863重大项目子课题，海底管线缺陷内检测技术与装备工程化研究（2011AA090301），主要参与人

2、国际合作与交流项目

2016.03 ~ 2018.02 国家自然科学基金委员会-英国皇家学会合作交流项目，Study of defect tomography imaging technology based on electromagnetic ultrasonic guided waves（IE150600），主要参与人

2015.03 ~ 2015.10 英国皇家工程院合作研究项目，Real time laser condition monitoring system for wind turbine shaft(NRCP/1415/91)，主要参与人

3、横向项目

2021.11 ~ 2022.12 国家电网公司科技项目，地下设施非开挖快速电磁探测技术研究与应用，主要参与人

2021.01 ~ 2023.12 国家电网公司科技项目，基于国土空间规划等多源异构数据的电网工程智能辅助选站选线设计关键技术研究，主要参与人

2020.08 ~ 2021.12 国家电网公司科技项目，地上钢结构件腐蚀缺陷检测技术研究，主要参与人

2017.09 ~ 2019.08 企业横向项目，273口径油气管道缺陷内检测器研制，主要参与人

2015.07 ~ 2016.08 企业横向项目，813口径天然气管道漏磁检测器，主要参与人

1、发表论文

[45] J.Zhang, L. Peng, S. Wen, S. Huang. “A Review on Concrete Structural Properties and Damage Evolution Monitoring Techniques,” Sensors, 2024, 24, 620: 1-29, doi: 10.3390/s24020620.

[44] H. Sun, Q. Feng, J. Li, F. Zheng, L. Peng, S. Li, S. Huang. “Rail Web Buried Defect Location and Quantification Methods in Hybrid High-Order Guided Wave Detection,” IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-12, doi: 10.1109/TIM.2023.3338679.

[43] 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.

[42] 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.

[41] 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.

[40] 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.

[39] 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.

[38] 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.

[37] 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.

[36] 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.

[35] 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.

[34] 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.

[33] 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.

[32] 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.

[31] 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.

[30] 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.

[29] 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.

[28] 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.

[27] 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.

[26] 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.

[25] 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.

[24] 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.

[23] 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.

[22] 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.

[21] 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.

[20] 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.

[19] 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.

[18] 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.

[17] 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.

[16] 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.

[15] 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.

[14] 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.

[13] 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.

[12] 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.

[11] 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.

[10] 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.

[9] 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.

[8] 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.

[7] 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.

[6] 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.

[5] 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.

[4] 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.

[3] 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.

[2] 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.

[1] 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.

2、授权发明专利

[29] 黄松岭 王文志 赵伟 王珅 黄紫靖 宋小春 彭丽莎，Device and Method for Testing Steel Defect Based on Internal and External Magnetic Perturbation，US 11,378,548 B2，2022.07.05，已授权。

[28] 黄松岭 王文志 赵伟 王珅 黄紫靖 宋小春 彭丽莎，钢材缺陷内外磁扰动综合检测装置及检测方法，ZL 202010556179.4，2022.07.01，已授权。

[27] 黄松岭 彭丽莎 黄紫靖，管道螺旋焊缝漏磁自动识别方法和装置，ZL 202011197381.9，2022.07.01，已授权。

[26] 黄松岭 彭丽莎 赵伟 王珅 邹军 汪芙平 龙跃 桂林 董甲瑞 于歆杰 黄紫靖，基于漏磁信号的缺陷轮廓反演方法，ZL 20181035458 9.3，2021.01.01，已授权。

[25] 黄松岭 彭丽莎 赵伟 王珅 程迪 于佳，缺陷漏磁信号的单元伸缩构建方法，ZL 201710174668.1，2020.06.19，已授权。

[24] 黄松岭 彭丽莎 赵伟 王珅 于歆杰 董甲瑞 汪芙平，一种基于深度-提离值变换的缺陷漏磁信号求解方法，ZL 201710976832.0，2020.04.07，已授权。

[23] 黄松岭 彭丽莎 赵伟 王珅 李世松 邹军，基于法向分量的伪三维漏磁信号缺陷轮廓识别方法，ZL 201710784842.4，2019.11.22，已授权。

[22] 黄松岭 彭丽莎 赵伟 王珅 龙跃，钢板缺陷磁旋阵成像检测方法及检测装置，ZL 201710516071.0，2019.10.29，已授权。

[21] 黄松岭 彭丽莎 赵伟 张宇 王珅，缺陷漏磁信号垂直磁化方向单元组合求解方法，ZL 201710252452.2，2019.07.26，已授权。

[20] 黄松岭 彭丽莎 赵伟 王珅 龙跃，基于素信号组合求解缺陷漏磁信号的方法，ZL 201710681267.5，2019.11.22，已授权。

[19] 黄松岭 彭丽莎 赵伟 王珅 于歆杰 李世松，基于漏磁信号的垂直分量的缺陷轮廓识别方法及装置，ZL 201710686539.0，2019.11.22，已授权。

[18] 黄松岭 赵伟 彭丽莎 王珅 程迪 董甲瑞，Method for Reconstructing Defect，US 10,935,520 B2，2021.03.02，已授权。

[17] 黄松岭 赵伟 彭丽莎 王珅 程迪 董甲瑞，漏磁检测单元缺陷伸缩重构方法，ZL 201710174666.2，2020.03.27，已授权。

[16] 黄松岭 赵伟 彭丽莎 于佳，沿磁化方向的单元组合缺陷漏磁信号计算方法，ZL 201710252481.9，2019.07.02，已授权。

[15] 黄松岭 龙跃 彭丽莎 王珅 赵伟，管道内检测器三维跟踪方法和装置，ZL 202010070214.1，2021.01.22，已授权。

[14] 黄松岭 龙跃 彭丽莎 王珅 赵伟，漏磁检测提离补偿和缺陷深度解析的方法及装置，ZL 201911284632.4 ，2020.08.06，已授权。

[13] 黄松岭 王文志 彭丽莎 赵伟 王珅 张敬华，Device and Method for Detecting Defect Contour with Omnidectionally Equal Sensitivity Based on Magnetic Excitation，US 11,150,311 B2，2021.10.19，已授权。

[12] 黄松岭 王文志 彭丽莎 赵伟 王珅 黄紫靖，磁激各向同性缺陷轮廓成像装置及成像方法，ZL 201911280680.6，2021.12.14，已授权。

[11] 黄松岭 黄紫靖 王文志 彭丽莎 龙跃，钢材缺陷磁成像装置及方法，ZL 202010646149.2，2022.08.16，已授权。

[10] 黄松岭 赵伟 王珅 彭丽莎 张宇于歆杰 邹军 桂林 汪芙平，High-Precision Imaging and Detecting Device for Detecting Small Defect of Pipeline by Helical Magnetic Matrix，US 10,338,160 B2，2019.07.02，已授权。

[9] 黄松岭 龙跃 宋小春 彭丽莎 王珅 赵伟，漏磁检测探头姿态补偿方法及装置，ZL 201911285985.6，2021.08.20，已授权。

[8] 黄松岭 赵伟 王珅 彭丽莎 张宇 于歆杰 邹军 桂林 汪芙平，用于管道微小缺陷检测的螺旋磁矩阵高精度成像检测装置，ZL 201710517066.1，2021.04.27，已授权。

[7] 黄松岭 赵伟 王珅 丁睿 彭丽莎，铁磁性构件离线漏磁成像检测装置及方法，ZL 201510660623.6，2018.05.29，已授权。

[6] 黄松岭 龙跃 赵伟 王珅 彭丽莎 宋小春，漏磁检测缺陷边沿识别的方法，ZL 202010114747.5 ，2021.10.22，已授权。

[5] 黄松岭 赵伟 王珅 于歆杰 彭丽莎 邹军 汪芙平 董甲瑞 桂林 龙跃，电磁多场耦合缺陷综合检测评价方法及装置，ZL 201810711896.2，2020.04.07，已授权。

[4] 黄松岭 孙洪宇 赵伟 王珅 彭丽莎 汪芙平 黄紫靖 董甲瑞，适用于铝板缺陷检测的SV超声体波单侧聚焦换能器，ZL 201910496301.0，2020.11.03，已授权。

[3] 黄松岭 赵伟 王珅 于歆杰 彭丽莎 邹军 汪芙平 董甲瑞 桂林 龙跃，Method and Device for Detecting and Evaluating Defect， US 11,099,156 B2，2021.08.24，已授权。

[2] 黄松岭 孙洪宇 黄紫靖 王珅 彭丽莎，海底管道超声导波全向聚焦声透镜柔性换能器及检测方法，ZL 202010713397.4，2021.10.22，已授权。

[1] 黄松岭 赵伟 丁睿 张振宇 孙长安 聂长志 王珅 彭丽莎 李世松，铁轨缺陷的检测方法、检测系统及车辆，ZL 201510784666.5，2018.06.19，已授权。

1、学术组织任职

中国电工技术学会 电磁检测及装备专委会 副秘书长

中国电工技术学会 电热专委会 委员

中国机械工程学会 无损检测分会 委员

Organizing Committee Member, 2023 International Conference on Power and Energy Engineering

Guest Editor, Sensors, Special Issue on Advanced Sensing and Evaluating Technology in Nondestructive Testing

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

高级会员，中国机械工程学会/中国仪器仪表学会

2、国际期刊审稿人

IEEE Transactions on Instrumentation and Measurement

IEEE Sensors Journal

IEEE Access

Applied Sciences

Energy Reports

Materials Research Express

Measurement Science and Technology