HYBRID SWIN TRANSFORMER AND VIT TCN NETWORK FOR INTELLIGENT BEARING FAULT DETECTION

In this video, let’s learn about the hybrid Swin Transformer and VIT-TCN framework for intelligent bearing fault detection. Input vibration data undergoes pre-processing, visualization, and feature extraction using the Swin Transformer. The extracted features are classified through a VIT-TCN hybrid model, producing predicted outputs. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics.

Видео HYBRID SWIN TRANSFORMER AND VIT TCN NETWORK FOR INTELLIGENT BEARING FAULT DETECTION канала AB TECHNOLOGIES