Classification On Cwru Bearing Dataset

10 fold Cross validation

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
Few-shot Transformer Covariance	99.86	Few-Shot Bearing Fault Diagnosis Via Ensembling Transformer-Based Model With Mahalanobis Distance Metric Learning From Multiscale Features
MCNN-LSTM	98.46	Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model
CNN	7	FaultNet: A Deep Convolutional Neural Network for bearing fault classification

0 of 3 row(s) selected.