SARNet achieves lower prediction errors in remaining useful life estimation by integrating spike-aware detection with ModernTCN and a stacked RF-LGBM model on benchmark datasets.
Time series multiple channel convolutional neural network with attention-based long short-term memory for predicting bearing remaining useful life,
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SARNet: A Spike-Aware consecutive validation Framework for Accurate Remaining Useful Life Prediction
SARNet achieves lower prediction errors in remaining useful life estimation by integrating spike-aware detection with ModernTCN and a stacked RF-LGBM model on benchmark datasets.