Research Article
Attention Mechanism-Based CNN-LSTM Model for Wind Turbine Fault Prediction Using SSN Ontology Annotation
Table 1
Original characteristics of wind turbine icing fault.
| Features | Features | Features | Features |
| wind_speed | pitch1_angle | pitch2_moto_tmp | pitch2_ng5_tmp | generator_speed | pitch2_angle | pitch3_moto_tmp | pitch3_ng5_tmp | power | pitch3_angle | acc_X | pitch1_ng5_DC | wind_direction | pitch1_speed | acc_Y | pitch1_ng5_DC | wind_direction_mean | pitch2_speed | environment_tmp | pitch1_ng5_DC | yaw_position | pitch3_speed | int_tmp | | yaw_speed | pitch1_moto_tmp | pitch1_ng5_tmp | |
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