Abstract: This paper investigates the potential of using electric terminal signals of induction machines for online fault monitoring through experimental studies. The results reveal that by analyzing ...
Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...
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