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Assessment of Equipment Operation State with Improved Random Forest
2021
International Journal of Rotating Machinery
To accurately assess the state of a generator in wind turbines and find abnormalities in time, the method based on improved random forest (IRF) is proposed. The balancing strategy that is a combination of oversampling technique (SMOTE) and undersampling is applied for imbalanced data. Bootstrap is applied to resample original data sets of generator side from the supervisory control and data acquisition (SCADA) system, and decision trees are generated. After the decision trees with different
doi:10.1155/2021/8813443
fatcat:jrxoni5dcndalmynsma2kakq3i