Research Article
Bearing Fault Diagnosis Based on Frequency Subbands Feature Extraction and Multibranch One-Dimension Convolutional Neural Network
| Fault type | Fault size (mil) | Label | Training sample | Test sample | Sample length | Load (HP) |
| Ball | 7 | 1 | 90 | 25 | 1024 | 1, 2, 3 | Ball | 14 | 2 | 90 | 25 | 1024 | 1, 2, 3 | Ball | 21 | 3 | 90 | 25 | 1024 | 1, 2, 3 | Inner-race | 7 | 4 | 90 | 25 | 1024 | 1, 2, 3 | Inner-race | 14 | 5 | 90 | 25 | 1024 | 1, 2, 3 | Inner-race | 21 | 6 | 90 | 25 | 1024 | 1, 2, 3 | Outer-race@3 | 7 | 7 | 90 | 25 | 1024 | 1, 2, 3 | Outer-race@6 | 14 | 8 | 90 | 25 | 1024 | 1, 2, 3 | Outer-race@12 | 21 | 9 | 90 | 25 | 1024 | 1, 2, 3 | Normal | - | 0 | 90 | 25 | 1024 | 1, 2, 3 |
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