Surface damage detection for steel wire ropes using deep learning and computer vision techniques-Reference-Cited by-同舟云学术

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Surface damage detection for steel wire ropes using deep learning and computer vision techniques

Published:2020-09 Issue: Volume:161 Page:107843
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Huang Xinyuan,Liu Zhiliang,Zhang Xinyu,Kang Jinlong,Zhang Mian,Guo Yongliang

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference36 articles.

1. Non-destructive detection of wire rope discontinuities from residual magnetic field images using the hilbert-huang transform and compressed sensing;Zhang;Sensors,2017

2. Online nondestructive testing for fine steel wire rope in electromagnetic interference environment;Yan;NDT & E International,2017

3. The evaluation of wire ropes by acoustic emission techniques;Casey;British Journal of Non-Destructive Testing,1985

4. Nondestructive and quantitative evaluation of wire rope based on radial basis function neural network using eddy current inspection;Cao;NDT & E International,2012

5. Improve the signal to noise ratio and installation convenience of the inductive coil for wire rope nondestructive testing;Yan;NDT & E International,2017

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