Table 6.
MAE and RMSE results of Bi-LSTM model and other forecasting models for testing evaluation on rotor data.
| Evaluation Metric | Model | Stator Data | |||
|---|---|---|---|---|---|
| Motor 1 | Motor 2 | Motor 3 | Motor 4 | ||
| MAE | RNN | 154.6887 | 154.2273 | 153.5426 | 135.8195 |
| LSTM | 84.0248 | 84.9345 | 74.3362 | 83.3043 | |
| GRU | 90.4460 | 86.7933 | 83.8774 | 90.4395 | |
| Bi-LSTM | 81.8216 | 84.8299 | 46.1538 | 82.7156 | |
| RMSE | RNN | 154.6895 | 154.2281 | 153.5433 | 139.9584 |
| LSTM | 96.3886 | 96.1901 | 83.2497 | 101.6299 | |
| GRU | 102.7570 | 98.8687 | 96.3640 | 102.6000 | |
| Bi-LSTM | 93.3045 | 95.1969 | 60.1075 | 94.5194 | |