Seventh Global Intelligent Industry Conference (GIIC 2024) 2024
DOI: 10.1117/12.3032479
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Dataset augmentation method for milling tool breakage monitoring based on auxiliary classifier generative adversarial networks

Huan Liu,
Chao Long,
Ziteng Li
et al.

Abstract: The objective of this study is to address the issue of data imbalance by augmenting the milling tool breakage dataset using Auxiliary Classifier Generative Adversarial Networks (ACGAN). The research team developed an ACGAN architecture capable of producing samples labeled with various states of tool breakage. To assess the fidelity of the ACGAN-generated data, this study employed evaluation metrics such as the Kullback-Leibler divergence, Euclidean distance, and the Pearson correlation coefficient, comparing t… Show more

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