Lisha Peng

Development of a Physics-Informed Doubly Fed Cross-Residual Deep Neural Network for High-Precision Magnetic Flux Leakage Defect Size Estimation

Hongyu Sun, Lisha Peng, Songling Huang et al. · IEEE Transactions on Industrial Informatics · 2021 · 84 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +16

Microcrack Defect Quantification Using a Focusing High-Order SH Guided Wave EMAT: The Physics-Informed Deep Neural Network GuwNet

Hongyu Sun, Lisha Peng, Junming Lin et al. · IEEE Transactions on Industrial Informatics · 2021 · 77 citations

Biomedical Acoustics, Engineering, Microscopy +18

An Opening Profile Recognition Method for Magnetic Flux Leakage Signals of Defect

Songling Huang, Lisha Peng, Qing Wang et al. · IEEE Transactions on Instrumentation and Measurement · 2018 · 55 citations · Full text

Vertical Component, Magnetism, Engineering +7

Development of Frequency-Mixed Point-Focusing Shear Horizontal Guided-Wave EMAT for Defect Inspection Using Deep Neural Network

Hongyu Sun, Lisha Peng, Shen Wang et al. · IEEE Transactions on Instrumentation and Measurement · 2020 · 45 citations

Engineering, Nondestructive Testing, Acoustic Signal Processing +13

A Simplified Lift-Off Correction for Three Components of the Magnetic Flux Leakage Signal for Defect Detection

Lisha Peng, Songling Huang, Shen Wang et al. · IEEE Transactions on Instrumentation and Measurement · 2021 · 44 citations

Magnetism, Electrical Engineering, Engineering +12