Research Article
1DCNN Fault Diagnosis Based on Cubic Spline Interpolation Pooling
Table 1
Results of the experiment.
| | Number of bearing status signals | Number of misidentified bearing states | Bearing condition | Train sample | Test sample | Max pooling | Mean pooling | Cubic spline interpolation pooling |
| Normal state | 400 | 100 | 8 | 4 | 5 | Rolling element damage | 400 | 100 | 12 | 16 | 3 | Inner ring damage | 400 | 100 | 3 | 20 | 2 | Outer ring damage | 400 | 100 | 1 | 28 | 6 | Accuracy of the testing sample (%) | 94.0 | 83.0 | 96.0 |
|
|