Classification On Cwru Bearing Dataset

Metrics

10 fold Cross validation

Results

Performance results of various models on this 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.

Classification On Cwru Bearing Dataset

Metrics

10 fold Cross validation

Results

Performance results of various models on this 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.

Classification On Cwru Bearing Dataset | SOTA | HyperAI