Time frequency feature extraction of the arc energy for quality detection of the aluminum alloy double pulse MIG welding-Reference-Cited by-同舟云学术

Time frequency feature extraction of the arc energy for quality detection of the aluminum alloy double pulse MIG welding

Published:2020 Issue:6 Volume:14 Page:JAMDSM0080-JAMDSM0080
ISSN:1881-3054
Container-title:Journal of Advanced Mechanical Design, Systems, and Manufacturing
language:en
Short-container-title:JAMDSM

Author:

HE Kuanfang¹,SI Yin¹,LU Wei²,LU Qinghua¹,LI Qi²,HUANG Chenhua³,XIAO Siwen⁴

Affiliation:

1. School of Mechatronic Engineering and Automation, Foshan University

2. Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology

3. Research Center of Mechanical Manufacturing Technology in North Guangdong, Shaoguan University

4. College of Mechanical and Electrical Engineering, Hunan University of Science and Technology

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

https://www.jstage.jst.go.jp/article/jamdsm/14/6/14_2020jamdsm0080/_pdf

Reference24 articles.

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2. Cullen, J.D., Athi, N., Al-Jader, M., et al, Multisensor fusion for on line monitoring of the quality of spot welding in automotive industry, Measurement, Vol.41 No.4(2008), pp.412-423.

3. Dickinson, D.W., Franklin J.E. and Stanya, A., Characterization of spot welding behaviour by dynamic electrical parameter monitoring, Welding Journal, Vol.59(1980), pp.170s–176s.

4. Du, S., Liu, T., Huang, D., et al, A fast and adaptive bi-dimensional empirical mode decomposition approach for filtering of workpiece surfaces using high definition metrology, Journal of Manufacturing Systems, Vol.46(2018), pp.247-263.

5. Eckelt, B., Meyendorf, N., Morgner, W., et al, Use of automatic image processing for monitoring of welding processes and weld inspection, Non-Destructive Testing, (1989), pp.37-41.

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