Research Article
Attention Mechanism-Based CNN-LSTM Model for Wind Turbine Fault Prediction Using SSN Ontology Annotation
Table 2
Original characteristics of wind turbine yaw fault.
| Features | Features | Features | Features |
| aveWindSpeed25 | AI_NAC_WindDir25s | AI_TBN_RotorSpeed | AI_PTC_PosRef1 | aveWindSpeed10 | C_TBN_10MinAveWindDir | AI_NAC_Position | AI_PTC_PosRef2 | AI_NAC_WindSpeed | AI_GBX_OilSumpTemp | AI_YAW_Speed | AI_PTC_PosRef3 | C_10Min_Aver_WindSpeed | AI_NAC_WindError | AI_PTC_Speed1 | AI_NAC_VibX | C_15Min_Aver_WindSpeed | AI_NAC_AirTemp | AI_PTC_Speed2 | AI_NAC_VibY | C_1Min_Aver_WindSpeed | AI_NAC_CabTemp | AI_PTC_Speed3 | AI_PTC_DrvCurr1 | AI_NAC_WindDir | AI_NAC_OutAirTemp | AI_PCS_MeasGenSpeed | AI_IPR_VoltNeutralL3L1 |
|
|