Research Article

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

Table 8

Bearing fault diagnosis results obtained by OFS-LFDA-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 (%)

598.7581.6794.7972.7181.4654.7986.8852.08
799.5886.4595.8373.3382.7155.4292.0853.75
999.5886.6796.4673.5482.9256.2592.9253.75
1199.7986.8896.4673.5483.1356.2592.9253.75