Research Article

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

Table 13

Testing accuracies obtained by OFS-TSFRS-LDA-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 (%)

2095.4290.8393.9676.2597.2973.5495.8363.13
3095.4185.4292.5068.9697.7173.5498.1372.92
4095.4285.4292.5068.9695.6376.2593.5451.25
5098.9689.1795.6373.5495.4277.7195.2157.71
7098.7589.5895.8374.7996.6781.2594.7958.54
9098.9691.2595.4278.7597.7181.2593.5460.42
12098.3383.3396.0480.6398.1380.8397.5067.08
14099.1785.8396.0488.3397.2981.2595.0064.38
16099.1785.8396.0488.3397.2981.2598.1380.83
18099.1785.8396.6787.5096.8882.0897.9277.08

Dimension size is 11.