Research Article

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

Table 7

Bearing fault diagnosis results obtained by OFS-LDA-SVM.

Dimension sizeDTCWPTWPT
Case 1 testing accuracy (%)Case 2 testing accuracy (%)Case 3 testing accuracy (%)Case 4 testing accuracy (%)Case 1 testing accuracy (%)Case 2 testing accuracy (%)Case 3 testing accuracy (%)Case 4 testing accuracy (%)

596.2580.6295.0082.0892.5077.7195.0076.88
798.1386.2595.8388.3394.5880.4297.7171.67
998.7586.0496.2588.7595.2180.4297.7176.67
1199.1785.8396.4688.5495.6380.2198.1377.08