An automatic welding defect location algorithm based on deep learning-Reference-Cited by-同舟云学术

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An automatic welding defect location algorithm based on deep learning

Published:2021-06 Issue: Volume:120 Page:102435
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Yang Lei,Wang Huaixin,Huo Benyan,Li Fangyuan,Liu Yanhong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

Reference48 articles.

1. An effective method of weld defect detection and classification based on machine vision;Sun;IEEE T Ind Inform,2019

2. Welding defects detection based on deep learning with multiple optical sensors during disk laser welding of thick plates;Zhang;J Manuf Syst,2019

3. Classification and identification of surface defects in friction stir welding: an image processing approach;Ranjan;J Manuf Process,2016

4. Audible sound-based intelligent evaluation for aluminum alloy in robotic pulsed gtaw: mechanism, feature selection, and defect detection;Zhang;IEEE T Ind Inform,2017

5. Detection of defects on weld bead through the wavelet analysis of the acquired arc sound signal;Yusof;J Mech Sci Technol,2016

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