Low temperature life prediction model of wind turbine stator insulation based on PLS-DBO-RBF
Published online on November 08, 2025
Abstract
Measurement and Control, Ahead of Print.
To address the issue of low prediction accuracy in neural networks due to limited data for forecasting the low-temperature lifespan of wind turbine stators, this study proposes a multi-optimization model based on Partial Least Squares-Dung Beetle ...
To address the issue of low prediction accuracy in neural networks due to limited data for forecasting the low-temperature lifespan of wind turbine stators, this study proposes a multi-optimization model based on Partial Least Squares-Dung Beetle ...