Accurate and lightweight anomaly detection
An unsupervised anomaly detection method based on lightweight transformer generative adversarial network achieves high accuracy and low resource consumption on converter valve acoustic data, addressing sample imbalance and computational resource constraints.
Tang, Mingzhu · Chen, Yan · Hu, Haijun · Wang, Zhiyong · Fuqiang, Xiong · Yang, Wei · Chen, Zhiwen
ISA Transactions 2025
AUC of 0.9806, significantly outperforming baseline methods
p-AUCs of 0.9295, 0.9122, and 0.9559 in low false-positive regions [0,0.1], [0,0.2], and [0,0.3], respectively