A model for timing anomaly detection and prediction of CNC machine tools based on multi-scale feature fusion and self-attention
In order to solve the bottleneck problem of existing deep learning models being easily affected by feature interference and overfitting under strong noise, this paper proposes a Multi-scale Feature Fusion and Self-Attention based Time-Series Anomaly Detection and Prediction Network(MSFF-SATADPN). This paper first uses...