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%.
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© 2025 Scienmag - Science Magazine