An offset-transformer hierarchical model for point cloud-based resistance spot welding quality classification
Authors:
- Bo YangBo Yang
- Qing PengQPQing Peng
- Zhengping ZhangZZZhengping Zhang
- Yucheng ZhangYZYucheng Zhang
- Yufeng LiYLYufeng Li
- Zerui XiZXZerui Xi
- 26 July 2024
- journal article
- research article
- Published by Elsevier in Computers in Industry
- Vol. 161
Abstract
No abstract availableKeywords
Funding Information
- Ministry of Science and Technology of the People's Republic of China
- Guizhou University
This publication has 34 references indexed in Scilit:
- Effect of Forge-Time on Electrode Indentation, Thermal and Residual Stress Fields in Resistance Spot Weld Joints of AISI 1008 Steel SheetsTransactions of the Indian Institute of Metals, 2024
- Frequency-based analysis of active laser thermography for spot weld quality assessmentThe International Journal of Advanced Manufacturing Technology, 2023
- Research on shape control and performance of joint nugget during RSW processingThe International Journal of Advanced Manufacturing Technology, 2023
- Physical mechanism of laser-excited acoustic wave and its application in recognition of incomplete-penetration welding defectThe International Journal of Advanced Manufacturing Technology, 2022
- PCT: Point cloud transformerComputational Visual Media, 2021
- Deep-learning-based retrieval of piping component catalogs for plant 3D CAD model reconstructionComputers in Industry, 2020
- Detection Method for Liquid Metal Embrittlement Cracks Inside the Intermediate Sheet Zone of Dissimilar Resistance Spot WeldsSteel Research International, 2020
- Online defect recognition of narrow overlap weld based on two-stage recognition model combining continuous wavelet transform and convolutional neural networkComputers in Industry, 2019
- Macro characteristics of dissimilar high strength steel resistance spot welding jointThe International Journal of Advanced Manufacturing Technology, 2016
- Automatic evaluation of machining allowance of precision castings based on plane features from 3D point cloudComputers in Industry, 2013