Research Article
Rotating Machinery Fault Identification via Adaptive Convolutional Neural Network
Table 2
Gear fault experiment conditions and experiment parameter setting.
| | Fault type | Fault size (mm) | Input speed (rpm) | Sampling frequency (Hz) | Sampling time (s) |
| | Healthy | None | 700, 750, 800, 850,900, 950, 1000, 1050, 1100 | 20480 | 15 | | Tooth surface spalling | 60 × 3 × 0.5 | | Root crack | 60 × 3 | | Tooth surface pitting | 2 mm | | Broken tooth | 30% tooth width (18 mm) |
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