Remaining Useful Life Prediction under Multiple Operating Conditions Based on a Novel Dual-Layer Temporal Convolutional Network
IEEE SENSORS JOURNAL(2025)
Key words
Data models,Sensors,Accuracy,Hidden Markov models,Degradation,Convolutional neural networks,Predictive models,Feature extraction,Adaptation models,Prediction algorithms,Multiple operating conditions,remaining useful life (RUL) prediction,self-attention mechanism,temporal convolutional network (TCN)
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