Attention Mechanism-Based CNN-LSTM Model for Wind Turbine Fault Prediction Using SSN Ontology Annotation

Table 3

Experimental results of the model on the test datasets of No. 15 and No. 3 wind turbine.

Algorithm	Wind turbine icing fault test dataset				Wind turbine yaw fault test dataset
	No. 15 wind turbine				No. 3 wind turbine
	CLA	0.9646	0.9730	0.9634	0.9712	0.9821	0.9805	0.9754	0.9819
LSTM	0.9388	0.9227	0.9580	0.9400	0.9793	0.9803	0.9781	0.9792
RNN	0.7986	0.8083	0.7833	0.7956	0.9672	0.9609	0.9738	0.9673
XGBoost	0.9805	0.9875	0.9733	0.9804	0.9855	0.9906	0.9852	0.9873