Table 2 Class-wise data partitioning for model training and testing.

From: Improved railway track faults detection using Mel-frequency cepstral coefficient and constant-Q transform features

Class

Original Samples

Synthetic AI Samples

Total Samples

Normal track

720

400

3,360

Superelevation

720

400

Wheel burn

720

400

Train Test Split

Training Samples

Testing Samples

Total Samples

Normal track

896

224

3,360

Superelevation

896

224

Wheel burn

896

224