Research Article
Health Status Assessment for Wind Turbine with Recurrent Neural Networks
Table 4
Performance criterions of the ELMAN for wind turbine 1.
| SCADA variables | RMSE | MAE | BIAS | SDE |
| Generator speed | 0.257 | 0.20 | 0.012 | 0.257 | Generator temperature | 0.255 | 0.221 | 0.221 | 0.127 | Generator cooling air temperature | 0.219 | 0.192 | 0.171 | 0.137 | Generator bearing temperature | 0.391 | 0.380 | 0.380 | 0.091 | Gearbox temperature | 0.156 | 0.095 | -0.05 | 0.148 | Gearbox bearing temperature | 0.149 | 0.089 | -0.036 | 0.145 | Rotor speed | 0.264 | 0.203 | 0.01 | 0.264 | Battery box temperature | 0.509 | 0.502 | 0.502 | 0.079 | Hydraulic pressure | 0.130 | 0.079 | -0.045 | 0.122 | Shaft bearing temperature | 0.709 | 0.708 | 0.708 | 0.032 | Top box temperature | 0.18 | 0.145 | 0.132 | 0.123 |
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