Research Article
Robust Fault Detection of Wind Energy Conversion Systems Based on Dynamic Neural Networks
Table 4
Faults specifications in the integrated test.
| | Location | Type | Start time | Stop time |
| | Generator's angular velocity sensor | Proportional +2% (f 1) | 30 | 70 | | Pitch actuator of the blade 1 | Change in and (f 2) | 80 | 120 | | Generator's angular velocity sensor | Proportional −10% (f 3) | 120 | 150 | | Pitch sensor of the blade 1 | Positive bias +1° (f 4) | 160 | 180 | | Generator's angular velocity sensor | Proportional +5% (f 5) | 190 | 210 | | Generator's angular velocity sensor | Proportional −2% (f 6) | 220 | 230 | | Pitch sensor of the blade 1 | Negative bias −0.8° (f 7) | 240 | 260 | | Pitch actuator of the blade 1 | Change in and (f 8) | 265 | 290 |
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