Classification On Cwru Bearing Dataset
Metrics
10 fold Cross validation
Results
Performance results of various models on this benchmark
Model Name | 10 fold Cross validation | Paper Title | Repository |
|---|---|---|---|
| Few-shot Transformer Covariance | 99.86 | Few-Shot Bearing Fault Diagnosis Via Ensembling Transformer-Based Model With Mahalanobis Distance Metric Learning From Multiscale Features | |
| CNN | 7 | FaultNet: A Deep Convolutional Neural Network for bearing fault classification | |
| MCNN-LSTM | 98.46 | Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model |
0 of 3 row(s) selected.