Research Article

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

Table 18

The detailed information of the second group dataset.

Bearing conditionDefect diameter (mm)Number of training samplesNumber of testing samplesClass label
1200 tr/min1200 tr/min (case 3)1800 tr/min (case 4)

Normal02040401

Ball fault0.052040402
0.12040403
0.22040404

Inner race fault0.052040405
0.12040406
0.22040407

Outer race fault0.052040408
0.12040409
0.220404010

Number of samples240480480