Deep learning based transformer fault diagnosis method via vibration signal

The vibration signals of transformer are collected, and the Convolutional Neural Network (CNN) model is used for feature extraction and pattern recognition. Finally, different states are classified to realize the fault diagnosis function of transformer.

Funding: CSC Scholarship