Advances, Systems and Applications
From: Bearing fault diagnosis method based on improved Siamese neural network with small sample
Dataset | Number of samples of each fault type | Working condition (speed, voltage) | ||||
---|---|---|---|---|---|---|
Normal | Ball fault | Combined fault | Inner fault | Outer fault | ||
Training set A | 10 | 10 | 10 | 10 | 10 | 1700 r/min, 4 V |
Training set B | 20 | 20 | 20 | 20 | 20 | |
Training set C | 50 | 50 | 50 | 50 | 50 | |
Training set D | 100 | 100 | 100 | 100 | 100 | |
Testing set 1 | 100 | 100 | 100 | 100 | 100 | 1700 r/min, 4 V |
Testing set 2 | 100 | 100 | 100 | 100 | 100 | 1700 r/min, 8 V |
Testing set 3 | 100 | 100 | 100 | 100 | 100 | 3400 r/min, 8 V |