Table 2 Classification accuracy of bearing fault using different methods (%)
From: Fault Diagnosis Method for Rotating Machinery Based on Multi-scale Features
Method | Sub-dataset | ||||
|---|---|---|---|---|---|
a | b | c | d | e | |
SS-DPSOM | – | – | – | – | 95.8 |
ICDSVM | – | – | – | – | 97.9 |
LFGRU | – | – | – | – | 99.6 |
UFL | – | – | – | – | 99.6 |
EMFL | 98.8 | 98.8 | 99.4 | 99.4 | 99.8 |
1D-CNN | 98.78 | 98.33 | 97.69 | 99.33 | 98.38 |
MBCNN | 99.97 | 99.97 | 100 | 99.93 | 99.97 |