Data-Driven Monitoring of Process Stability in Resistance Spot Welding
Durnagoz S, Gull M, Mayer M, Lechner M, Huber MF (2025)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2025
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 1-10
Conference Proceedings Title: Proceedings of the 31st ICE IEEE/ITMC Conference on Engineering, Technology, and Innovation: AI-Driven Industrial Transformation: Digital Leadership in Technology, Engineering, Innovation and Entrepreneurship, ICE 2025
Event location: Valencia, ESP
ISBN: 9798331585341
DOI: 10.1109/ICE/ITMC65658.2025.11106545
Open Access Link: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11106545
Abstract
Ensuring high process stability during Resistance Spot Welding (RSW) in the automotive industry is crucial for maintaining high-quality welds without destructive testing. This work proposes a data-driven approach to monitor process stability during RSW. Nine different methods for measuring the distance between two electric resistance curves are evaluated in terms of runtime and performance. Among these, measuring the distance between two curves in the latent space is introduced as a novel approach to assess process stability. Our findings show that deviations calculated using Time2Vec and wavelet transform are well-suited for distinguishing unstable from stable processes, enabling proactive quality control and targeted maintenance actions in automotive production lines. We evaluate our approach on a real-world data set containing over 3.7 million welds from 1 074 welding systems and 1567 material-thickness combinations collected from automotive production.
Authors with CRIS profile
Involved external institutions
Universität Stuttgart
Germany (DE)
Audi AG
Germany (DE)
Fraunhofer-Institut für Fertigungstechnik und Angewandte Materialforschung (IFAM) / Fraunhofer Institute for Manufacturing Technology and Advanced Materials
Germany (DE)
Germany (DE)
Audi AG
Germany (DE)
Fraunhofer-Institut für Fertigungstechnik und Angewandte Materialforschung (IFAM) / Fraunhofer Institute for Manufacturing Technology and Advanced Materials
Germany (DE)
How to cite
APA:
Durnagoz, S., Gull, M., Mayer, M., Lechner, M., & Huber, M.F. (2025). Data-Driven Monitoring of Process Stability in Resistance Spot Welding. In IEEE (Eds.), Proceedings of the 31st ICE IEEE/ITMC Conference on Engineering, Technology, and Innovation: AI-Driven Industrial Transformation: Digital Leadership in Technology, Engineering, Innovation and Entrepreneurship, ICE 2025 (pp. 1-10). Valencia, ESP, ES: Institute of Electrical and Electronics Engineers Inc..
MLA:
Durnagoz, Samiha, et al. "Data-Driven Monitoring of Process Stability in Resistance Spot Welding." Proceedings of the 31st ICE IEEE/ITMC Conference on Engineering, Technology, and Innovation, ICE 2025, Valencia, ESP Ed. IEEE, Institute of Electrical and Electronics Engineers Inc., 2025. 1-10.
BibTeX: Download