Explainable few-shot learning for online anomaly detection in ultrasonic metal welding with varying configurations-Reference-Cited by-同舟云学术

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Explainable few-shot learning for online anomaly detection in ultrasonic metal welding with varying configurations

Published:2023-12 Issue: Volume:107 Page:345-355
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Meng Yuquan^ORCID,Lu Kuan-Chieh^ORCID,Dong Zhiqiao^ORCID,Li Shichen,Shao Chenhui^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference42 articles.

1. Ultrasonic welding of lithium-ion batteries;Cai,2017

2. Ultrasonic system and ultrasonic metal welding performance: A status review;Cheng;J Manuf Process,2022

3. Thermomechanical analyses of ultrasonic welding process using thermal and acoustic softening effects;Siddiq;Mech Mater,2008

4. Joining 5754 automotive aluminum alloy 2-mm-thick sheets using ultrasonic spot welding;Zhang;Weld J,2014

5. Ultrasonic spot welding of aluminum alloys: A review;Ni;J Manuf Process,2018

Cited by 3 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. Few-shot online anomaly detection and segmentation;Knowledge-Based Systems;2024-09

2. Research on Ultrasonic NDT of Wire to Terminal Joints: Comparison of Combinations of Various CNNs and Signal Processing Technologies;Journal of Nondestructive Evaluation;2024-07-04

3. Morphological Evolution of Single-Core Multi-Strand Wires during Ultrasonic Metal Welding;Metals;2024-03-20

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