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ORCIDLisha Peng
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2020 – today
- 2024
[j14]Jinghua Zhang
, Lisha Peng, Shuzhi Wen, Songling Huang:
A Review on Concrete Structural Properties and Damage Evolution Monitoring Techniques. Sensors 24(2): 620 (2024)- [j13]Yufan Xue, Yuxiang Sun, Jiawei Zhou, Lisha Peng, Xianzhong Zhou:
Multiattribute Decision-Making in Wargames Leveraging the Entropy-Weight Method in Conjunction With Deep Reinforcement Learning. IEEE Trans. Games 16(1): 151-161 (2024) - [j12]Xiaohu Liu, Kang Ma, Jian Liu, Wei Zhao, Lisha Peng, Songling Huang, Shisong Li:
A Self-Healing Magnetic-Array-Type Current Sensor With Data-Driven Identification of Abnormal Magnetic Measurement Units. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j11]Hongyu Sun, Qibo Feng, Jiakun Li, Fajia Zheng, Lisha Peng, Shisong Li, Songling Huang, Yufei Xibei:
Rail Web Buried Defect Location and Quantification Methods in Hybrid High-Order Guided Wave Detection. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j10]Hongyu Sun, Jun Tu, Qibo Feng, Songling Huang, Lisha Peng, Qixin He, Jiakun Li, Shisong Li:
A High-Precision Defect Quantification Method Using a Unilateral Oblique Focusing Guided Wave EMAT and a Theory-Informed Explainable Progressive Residual Deep Convolutional Network. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - 2023
- [c14]Hongyu Sun, Songling Huang, Lisha Peng, Shisong Li, Fajia Zheng, Qibo Feng:
Quantification Method of Rail Web Buried Defect using Hybrid High-Order Guided Waves. I2MTC 2023: 1-5 - 2022
- [j9]Lisha Peng, Xianzhong Zhou, Junjie Zhao, Yuxiang Sun, Huaxiong Li:
Three-way multi-attribute decision making under incomplete mixed environments using probabilistic similarity. Inf. Sci. 614: 432-463 (2022) - [j8]Hongyu Sun, Lisha Peng, Songling Huang, Shisong Li, Yue Long, Shen Wang, Wei Zhao:
Development of a Physics-Informed Doubly Fed Cross-Residual Deep Neural Network for High-Precision Magnetic Flux Leakage Defect Size Estimation. IEEE Trans. Ind. Informatics 18(3): 1629-1640 (2022) - [j7]Hongyu Sun, Lisha Peng, Junming Lin, Shen Wang, Wei Zhao, Songling Huang:
Microcrack Defect Quantification Using a Focusing High-Order SH Guided Wave EMAT: The Physics-Informed Deep Neural Network GuwNet. IEEE Trans. Ind. Informatics 18(5): 3235-3247 (2022) - 2021
- [j6]Songling Huang, Hongyu Sun, Lisha Peng, Shen Wang, Qing Wang, Wei Zhao:
Defect Detection and Identification of Point-Focusing Shear-Horizontal EMAT for Plate Inspection. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [j5]Yue Long, Songling Huang, Lisha Peng, Shen Wang, Wei Zhao:
A Characteristic Approximation Approach to Defect Opening Profile Recognition in Magnetic Flux Leakage Detection. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j4]Lisha Peng, Songling Huang, Shen Wang, Wei Zhao:
A Simplified Lift-Off Correction for Three Components of the Magnetic Flux Leakage Signal for Defect Detection. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [j3]Hongyu Sun, Lisha Peng, Shen Wang, Songling Huang, Kaifeng Qu:
Development of Frequency-Mixed Point-Focusing Shear Horizontal Guided-Wave EMAT for Defect Inspection Using Deep Neural Network. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - [j2]Hongyu Sun, Lisha Peng, Shen Wang, Qing Wang, Wei Zhao, Songling Huang:
Effective Focal Area Dimension Optimization of Shear Horizontal Point-Focusing EMAT Using Orthogonal Test Method. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [c13]Yue Long, Songling Huang, Lisha Peng, Wenzhi Wang, Shen Wang, Wei Zhao:
Internal and External Defects Discrimination of Pipelines Using Composite Magnetic Flux Leakage Detection. I2MTC 2021: 1-6 - [c12]Lisha Peng, Songling Huang, Shen Wang, Wei Zhao:
High Precision Identification Method of Fan Main Shaft Defects Based on Rotating Magnetic Field Detection. I2MTC 2021: 1-6 - [c11]Wenzhi Wang, Songling Huang, Lisha Peng, Yue Long, Shen Wang, Wei Zhao:
An Improved MFL Method Fusing Multi-Space Magnetic Field Information for The Surface Defect Inspecting. I2MTC 2021: 1-6 - [c10]Lisha Peng, Tao Zhang, Xiaoyu Zhang, Xianzhong Zhou:
Threat Assessment for Aerial Targets Based on Three-way Multi-criteria Decision Making. ICNSC 2021: 1-6 - [c9]Hongyu Sun, Songling Huang, Shen Wang, Wei Zhao, Lisha Peng:
Quantification of Defects with Point-Focusing Shear Horizontal Guided Wave EMAT Using Deep Residual Network. INDIN 2021: 1-6 - 2020
- [c8]Yue Long, Songling Huang, Lisha Peng, Shen Wang, Wei Zhao:
A New Dual Magnetic Sensor Probe for Lift-off Compensation in Magnetic Flux Leakage Detection. I2MTC 2020: 1-6 - [c7]Lisha Peng, Songling Huang, Shen Wang, Wei Zhao:
An Element-Combination Method for Arbitrary Defect Reconstruction from MFL Signals. I2MTC 2020: 1-6 - [c6]Wenzhi Wang, Songling Huang, Lisha Peng, Shen Wang, Wei Zhao:
Identifying Surface Defect Opening Profiles Based on the Uniform Magnetic Field Distortion. I2MTC 2020: 1-6 - [c5]Lisha Peng, Songling Huang, Shen Wang, Wei Zhao:
Data Recovery Method for MLF Signals Based on Sinc Fucntion for Oil & Gas Pipeline. IEEE SENSORS 2020: 1-4 - [c4]Hongyu Sun, Lisha Peng, Songling Huang, Shen Wang, Qing Wang, Wei Zhao:
Mode Identification of Denoised SH Guided Waves Using Variational Mode Decomposition Method. IEEE SENSORS 2020: 1-3
2010 – 2019
- 2019
- [j1]Songling Huang, Lisha Peng, Qing Wang, Shen Wang, Wei Zhao:
An Opening Profile Recognition Method for Magnetic Flux Leakage Signals of Defect. IEEE Trans. Instrum. Meas. 68(6): 2229-2236 (2019) - [c3]Lisha Peng, Songling Huang, Shen Wang, Wei Zhao:
A 3-D Pseudo Magnetic Flux Leakage (PMFL) Signal Processing Technique for Defect Imaging. I2MTC 2019: 1-5 - 2018
- [c2]Lisha Peng, Wenbin Qian, Yinglong Wang, Wenhao Shu:
A Three-Way Decisions Approach for Computing Approximations in Continuous Data. FSDM 2018: 374-380 - [c1]Lisha Peng, Songling Huang, Shen Wang, Wei Zhao:
A lift-off revision method for magnetic flux leakage measurement signal. I2MTC 2018: 1-5
Coauthor Index
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