Command Palette
Search for a command to run...
Classification On Cwru Bearing Dataset
Metrics
10 fold Cross validation
Results
Performance results of various models on this benchmark
| 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 | - |
| 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.