AI System Improves Induction Motor Fault Detection
A new machine learning framework combining multimodal sensor fusion and contrastive learning improves induction motor fault classification accuracy to 84.31%.
A new machine learning framework combining multimodal sensor fusion and contrastive learning improves induction motor fault classification accuracy to 84.31%.
