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What is Online Quality Inspection for RSW about?

This paper presents a quality inspection framework for resistance spot welding (RSW) in automotive production lines, utilizing dynamic resistance signals and deep learning models to predict welding quality. The framework integrates process stability assessment through low-rank and sparse decomposition, alongside a one-dimensional convolutional neural network (1DCNN) with a channel attention mechanism for enhanced classification performance. Experimental results demonstrate the effectiveness of the proposed

Author

Adil Nabih

Language

EN