暫無

1、縱向項目

2023.11 ~ 2026.10 國家重點研發計劃青年科學家項目，在役油氣管道狀态時變電磁陣列智能成像無損檢測技術（2023YFF0615200），任務負責人

2023.01 ~ 2025.12 北京市自然科學基金面上項目，電力線路導線接頭電磁無損探傷及故障診斷方法研究（3232047），項目負責人

2022.07 ~ 2023.11 電力系統國家重點實驗室研究基金面上項目，輸電線路壓接區域多參量檢測及質量無損評估方法（SKLD22M02），項目負責人

2021.01 ~ 2023.12 國家自然科學基金青年項目，在役風機主軸磁聲螺旋導波在線檢測與評估方法研究（52007088），項目負責人

2020.11 ~ 2021.12 中國博士後科學基金面上項目，轉動狀态主軸磁聲螺旋導波檢測理論建模及反演方法研究（2020M680535），項目負責人

2021.01 ~ 2023.12 國家自然科學基金面上項目，疲勞微裂紋高階模态導波檢測方法研究（52077110），主要參與人

2020.06 ~ 2022.12 國家工信部工業互聯網創新發展工程項目，基于工業互聯網平台的通用非線性動力分析系統建設及推廣應用（TC2008033），主要參與人

2018.09 ~ 2020.12 國家重點研發計劃子課題，典型承壓類特種設備損傷磁聲複合式監檢測技術研究（2018YFC0809002），主要參與人

2018.09 ~ 2020.12 國家重點研發計劃子課題，新型檢測監測傳感器與智能數據采集終端（2018YFF0214701），主要參與人

2013.10 ~ 2018.10 國家重大科學儀器設備開發專項項目，鐵磁性材料缺陷三維漏磁成像檢測儀開發（2013YQ140505），主要參與人

2011.01 ~ 2015.12 國家863重大項目子課題，海底管線缺陷内檢測技術與裝備工程化研究（2011AA090301），主要參與人

2、國際合作與交流項目

2016.03 ~ 2018.02 國家自然科學基金委員會-英國皇家學會合作交流項目，Study of defect tomography imaging technology based on electromagnetic ultrasonic guided waves（IE150600），主要參與人

2015.03 ~ 2015.10 英國皇家工程院合作研究項目，Real time laser condition monitoring system for wind turbine shaft(NRCP/1415/91)，主要參與人

3、橫向項目

2021.11 ~ 2022.12 國家電網公司科技項目，地下設施非開挖快速電磁探測技術研究與應用，主要參與人

2021.01 ~ 2023.12 國家電網公司科技項目，基于國土空間規劃等多源異構數據的電網工程智能輔助選站選線設計關鍵技術研究，主要參與人

2020.08 ~ 2021.12 國家電網公司科技項目，地上鋼結構件腐蝕缺陷檢測技術研究，主要參與人

2017.09 ~ 2019.08 企業橫向項目，273口徑油氣管道缺陷内檢測器研制，主要參與人

2015.07 ~ 2016.08 企業橫向項目，813口徑天然氣管道漏磁檢測器，主要參與人

1、發表論文

[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, 彭麗莎, 黃松嶺. 基于漏磁信号深度特性的缺陷深度輪廓疊代優化方法. 中國電機工程學報, 2022, 42(8): 3077-3086, doi: 10.13334/j.0258-8013.pcsee.211252.

[4] 黃松嶺, 彭麗莎, 趙偉, 王珅.缺陷漏磁成像技術綜述. 電工技術學報, 2016, 31(20): 55-63, doi: 10.19595/j.cnki.1000-6753.tces. 2016.20.005.

[3] 彭麗莎, 王珅, 劉歡, 黃松嶺, 趙偉. 漏磁圖像的改進灰度級—彩色變換法. bevictor伟德官网學報(自然科學版), 2015, 55(5): 592-596, doi: 10.16511/j.cnki.qhdxxb.2015.05.018.

[2] 彭麗莎, 黃松嶺, 趙偉, 王珅. 漏磁檢測中的缺陷重構方法. 電測與儀表, 2015, 52(13): 1-6; 30.

[1] 黃松嶺, 彭麗莎, 趙偉, 王珅. 無損檢測中的缺陷漏磁成像技術.遠東無損檢測新技術論壇論文集, 2015: 347-354.

2、授權發明專利

[29] 黃松嶺 王文志 趙偉 王珅 黃紫靖 宋小春 彭麗莎，Device and Method for Testing Steel Defect Based on Internal and External Magnetic Perturbation，US 11,378,548 B2，2022.07.05，已授權。

[28] 黃松嶺 王文志 趙偉 王珅 黃紫靖 宋小春 彭麗莎，鋼材缺陷内外磁擾動綜合檢測裝置及檢測方法，ZL 202010556179.4，2022.07.01，已授權。

[27] 黃松嶺 彭麗莎 黃紫靖，管道螺旋焊縫漏磁自動識别方法和裝置，ZL 202011197381.9，2022.07.01，已授權。

[26] 黃松嶺 彭麗莎 趙偉 王珅 鄒軍 汪芙平 龍躍 桂林 董甲瑞 于歆傑 黃紫靖，基于漏磁信号的缺陷輪廓反演方法，ZL 20181035458 9.3，2021.01.01，已授權。

[25] 黃松嶺 彭麗莎 趙偉 王珅 程迪 于佳，缺陷漏磁信号的單元伸縮構建方法，ZL 201710174668.1，2020.06.19，已授權。

[24] 黃松嶺 彭麗莎 趙偉 王珅 于歆傑 董甲瑞 汪芙平，一種基于深度-提離值變換的缺陷漏磁信号求解方法，ZL 201710976832.0，2020.04.07，已授權。

[23] 黃松嶺 彭麗莎 趙偉 王珅 李世松 鄒軍，基于法向分量的僞三維漏磁信号缺陷輪廓識别方法，ZL 201710784842.4，2019.11.22，已授權。

[22] 黃松嶺 彭麗莎 趙偉 王珅 龍躍，鋼闆缺陷磁旋陣成像檢測方法及檢測裝置，ZL 201710516071.0，2019.10.29，已授權。

[21] 黃松嶺 彭麗莎 趙偉 張宇 王珅，缺陷漏磁信号垂直磁化方向單元組合求解方法，ZL 201710252452.2，2019.07.26，已授權。

[20] 黃松嶺 彭麗莎 趙偉 王珅 龍躍，基于素信号組合求解缺陷漏磁信号的方法，ZL 201710681267.5，2019.11.22，已授權。

[19] 黃松嶺 彭麗莎 趙偉 王珅 于歆傑 李世松，基于漏磁信号的垂直分量的缺陷輪廓識别方法及裝置，ZL 201710686539.0，2019.11.22，已授權。

[18] 黃松嶺 趙偉 彭麗莎 王珅 程迪 董甲瑞，Method for Reconstructing Defect，US 10,935,520 B2，2021.03.02，已授權。

[17] 黃松嶺 趙偉 彭麗莎 王珅 程迪 董甲瑞，漏磁檢測單元缺陷伸縮重構方法，ZL 201710174666.2，2020.03.27，已授權。

[16] 黃松嶺 趙偉 彭麗莎 于佳，沿磁化方向的單元組合缺陷漏磁信号計算方法，ZL 201710252481.9，2019.07.02，已授權。

[15] 黃松嶺 龍躍 彭麗莎 王珅 趙偉，管道内檢測器三維跟蹤方法和裝置，ZL 202010070214.1，2021.01.22，已授權。

[14] 黃松嶺 龍躍 彭麗莎 王珅 趙偉，漏磁檢測提離補償和缺陷深度解析的方法及裝置，ZL 201911284632.4 ，2020.08.06，已授權。

[13] 黃松嶺 王文志 彭麗莎 趙偉 王珅 張敬華，Device and Method for Detecting Defect Contour with Omnidectionally Equal Sensitivity Based on Magnetic Excitation，US 11,150,311 B2，2021.10.19，已授權。

[12] 黃松嶺 王文志 彭麗莎 趙偉 王珅 黃紫靖，磁激各向同性缺陷輪廓成像裝置及成像方法，ZL 201911280680.6，2021.12.14，已授權。

[11] 黃松嶺 黃紫靖 王文志 彭麗莎 龍躍，鋼材缺陷磁成像裝置及方法，ZL 202010646149.2，2022.08.16，已授權。

[10] 黃松嶺 趙偉 王珅 彭麗莎 張宇于歆傑 鄒軍 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，已授權。

[9] 黃松嶺 龍躍 宋小春 彭麗莎 王珅 趙偉，漏磁檢測探頭姿态補償方法及裝置，ZL 201911285985.6，2021.08.20，已授權。

[8] 黃松嶺 趙偉 王珅 彭麗莎 張宇 于歆傑 鄒軍 桂林 汪芙平，用于管道微小缺陷檢測的螺旋磁矩陣高精度成像檢測裝置，ZL 201710517066.1，2021.04.27，已授權。

[7] 黃松嶺 趙偉 王珅 丁睿 彭麗莎，鐵磁性構件離線漏磁成像檢測裝置及方法，ZL 201510660623.6，2018.05.29，已授權。

[6] 黃松嶺 龍躍 趙偉 王珅 彭麗莎 宋小春，漏磁檢測缺陷邊沿識别的方法，ZL 202010114747.5 ，2021.10.22，已授權。

[5] 黃松嶺 趙偉 王珅 于歆傑 彭麗莎 鄒軍 汪芙平 董甲瑞 桂林 龍躍，電磁多場耦合缺陷綜合檢測評價方法及裝置，ZL 201810711896.2，2020.04.07，已授權。

[4] 黃松嶺 孫洪宇 趙偉 王珅 彭麗莎 汪芙平 黃紫靖 董甲瑞，适用于鋁闆缺陷檢測的SV超聲體波單側聚焦換能器，ZL 201910496301.0，2020.11.03，已授權。

[3] 黃松嶺 趙偉 王珅 于歆傑 彭麗莎 鄒軍 汪芙平 董甲瑞 桂林 龍躍，Method and Device for Detecting and Evaluating Defect， US 11,099,156 B2，2021.08.24，已授權。

[2] 黃松嶺 孫洪宇 黃紫靖 王珅 彭麗莎，海底管道超聲導波全向聚焦聲透鏡柔性換能器及檢測方法，ZL 202010713397.4，2021.10.22，已授權。

[1] 黃松嶺 趙偉 丁睿 張振宇 孫長安 聶長志 王珅 彭麗莎 李世松，鐵軌缺陷的檢測方法、檢測系統及車輛，ZL 201510784666.5，2018.06.19，已授權。

1、學術組織任職

中國電工技術學會 電磁檢測及裝備專委會 副秘書長

中國電工技術學會 電熱專委會 委員

中國機械工程學會 無損檢測分會 委員

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

高級會員，中國機械工程學會/中國儀器儀表學會

2、國際期刊審稿人

IEEE Transactions on Instrumentation and Measurement

IEEE Sensors Journal

IEEE Access

Applied Sciences

Energy Reports

Materials Research Express

Measurement Science and Technology