Hybrid physics machine learning for ultrasonic field guided 3D generation and reconstruction of rail defects

Author:

Lu Xue Lei,Gao BinORCID,Woo Wai LokORCID,Xiao Xiang,Zhan Dong,Huang Chengliang

Funder

National Natural Science Foundation of China

Science and Technology Department of Sichuan Province

Publisher

Elsevier BV

Reference41 articles.

1. Influence of the Belt and Road Initiative on Overseas development of China rail Transit equipment Manufacturing;Gang;China Trans Rev,2020

2. Technology system and guarantee measures for safety operation of high-speed railways in China;Chunfang;China Saf Sci J,2019

3. Rapid detection of cracks in the rail foot by ultrasonic B-scan imaging using a shear horizontal guided wave electromagnetic acoustic transducer;Songtao;NDT E Int,2021

4. Post-processing of the full matrix of ultrasonic transmit-receive array data for non-destructive evaluation;Holmes;NDT E Int,2005

5. Ultrasonic sparse-TFM imaging for a two-layer medium using genetic algorithm optimization and effective aperture correction;Hu;NDT E Int,2017

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