Research Article
Intelligent Fault Diagnosis of Bearing Based on Convolutional Neural Network and Bidirectional Long Short-Term Memory
Table 1
CWRU experimental sample.
| State | Defect size (inch) | Data length | No. of samples | Load zone | Class (label) |
| Healthy state | — | 1024 | 118 | — | 0 | Ball fault | 0.007 | 1024 | 118 | — | 1 | 0.014 | 1024 | 118 | — | 1 | 0.021 | 1024 | 118 | — | 1 | Inner race fault | 0.007 | 1024 | 118 | — | 2 | 0.014 | 1024 | 118 | — | 2 | 0.021 | 1024 | 118 | — | 2 | Outer race fault | 0.007 | 1024 | 118 | 6 : 00 | 3 | 0.014 | 1024 | 118 | 6 : 00 | 3 | 0.021 | 1024 | 118 | 6 : 00 | 3 |
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