Funder
Natural Science Foundation of China
Natural Science Foundation of Guangdong Province
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering
Reference28 articles.
1. Robert J, Messler W, Jou M (1996) Review of control systems for resistance spot welding:past and current practices and emerging trends. Science and Technology of Welding & Joining 1(1):1–9
2. El-Banna M (2015) A novel approach for classifying imbalance welding data: Mahalanobis genetic algorithm. Int J Adv Manuf Technol 77(1–4):407–425
3. Liu J, Xu G, Ren L, Qian Z, and Ren L (2016) "Defect intelligent identification in resistance spot welding ultrasonic detection based on wavelet packet and neural network (online first )," International Journal of Advanced Manufacturing Technology, pp. 1–8
4. Zhang H, Hou Y, Zhang J, Qi X, Wang F (2015) A new method for nondestructive quality evaluation of the resistance spot welding based on the radar chart method and the decision tree classifier. Int J Adv Manuf Technol 78(5–8):841–851
5. Wan X, Wang Y, Zhao D (2016) Quality monitoring based on dynamic resistance and principal component analysis in small scale resistance spot welding process. Int J Adv Manuf Technol 86:3443–3451
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