Research Article
Attention Mechanism-Based CNN-LSTM Model for Wind Turbine Fault Prediction Using SSN Ontology Annotation
Table 5
Characteristics of wind turbine icing fault after screening.
| Features | Score |
| yaw_position | 0.147249 | environment_tmp | 0.115538 | power | 0.097059 | pitch3_angle | 0.092650 | int_tmp | 0.090929 | pitch3_moto_tmp | 0.081600 | pitch2_moto_tmp | 0.076074 | pitch1_moto_tmp | 0.073881 | pitch2_angle | 0.067191 | pitch1_angle | 0.057764 | wind_speed | 0.037283 | generator_speed | 0.035642 |
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