Modeling for detecting weld defects based on magneto-optical imaging-Reference-Cited by-同舟云学术

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Modeling for detecting weld defects based on magneto-optical imaging

Published:2018-07-18 Issue:21 Volume:57 Page:6110
ISSN:1559-128X
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Gao Xiangdong,Li Guohua,Chen Ziqin,Lan Chongzhou,Li Yanfeng,Gao Perry P.

Funder

National Natural Science Foundation of China (NSFC)

Science and Technology Planning Project of Guangzhou, China

Science and Technology Planning Public Project of Guangdong Province, China

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference27 articles.

1. 3D reconstruction methods and quality assessment for visual inspection of welds

2. Learning material defect patterns by separating mixtures of independent component analyzers from NDT sonic signals

3. An automatic magnetic particle inspection system for detecting defects in mooring chains

4. Automatic weld defect identification from radiographic images

5. Detection and measurement of surface cracks in ferromagnetic materials using eddy current testing

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Weld defect inspection based on machine vision and weak magnetic technology;Insight - Non-Destructive Testing and Condition Monitoring;2021-09-01

2. Modeling for Tracking Micro Gap Weld Based on Magneto-Optical Sensing and Kalman Filtering;IEEE Sensors Journal;2021-05-15

3. Research on Automated Defect Classification Based on Visual Sensing and Convolutional Neural Network-Support Vector Machine for GTA-Assisted Droplet Deposition Manufacturing Process;Metals;2021-04-14

4. Robust seam tracking via a deep learning framework combining tracking and detection;Applied Optics;2020-05-07

5. Skin depth and detection ability of magneto-optical imaging for weld defects in alternating magnetic field;Journal of Manufacturing Systems;2020-04

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