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.

FeaturesScore

yaw_position0.147249
environment_tmp0.115538
power0.097059
pitch3_angle0.092650
int_tmp0.090929
pitch3_moto_tmp0.081600
pitch2_moto_tmp0.076074
pitch1_moto_tmp0.073881
pitch2_angle0.067191
pitch1_angle0.057764
wind_speed0.037283
generator_speed0.035642