Research Article

Rolling Bearing Fault Diagnosis Based on Sensitive Feature Transfer Learning and Local Maximum Margin Criterion under Variable Working Condition

Table 20

Bearing fault diagnosis results obtained by the OFS-TSFRS-LMMC-SVM.

sfnCase 1 testing accuracy (%)Case 2 testing accuracy (%)Case 3 testing accuracy (%)Case 4 testing accuracy (%)

2073.5061.6764.0070.00
3077.1782.8364.1784.33
4081.3382.8377.8380.33
5086.1789.0076.8380.67
7099.6788.33100.0072.00
100100.0082.17100.0077.50
12099.6782.17100.0077.83
14099.8377.83100.0073.00
16099.8366.5099.8366.00
18099.3368.3399.8360.33

Dimension size is 11.