Research Article

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

Table 16

Testing accuracies obtained by OFS-TSFRS-LMMC-SVM.

sfnDTCWPTWPT
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 (%)

2098.3395.0099.7985.2199.3872.0896.6777.08
3099.5899.17100.0090.6399.7966.6799.3888.75
40100.00100.00100.0093.75100.0067.0899.7991.25
50100.0083.33100.0091.46100.0069.5899.7990.83
70100.0083.13100.0091.88100.0075.63100.0091.25
90100.0083.33100.0094.38100.0076.4699.7996.67
120100.0091.04100.0099.5899.7982.5099.7999.58
140100.0090.42100.0099.7999.3866.6799.7996.25
160100.0091.67100.0091.2598.9680.4299.5891.88
180100.0096.67100.0091.4699.1781.0499.7990.83

Dimension size is 11.