Research Article

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

Table 17

The detailed information of the first group dataset.

Bearing conditionDefect diameter (mm)Number of training samplesNumber of testing samplesClass label
1800 tr/min1800 tr/min (case 1)1200 tr/min (case 2)

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