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.
Condition Wise Evaluation with Sigma Threshold Compar- ison To make a fair, like-to-like comparison with the attention-DBiLSTM (A-DBiLSTM) study by Zou et al
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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.