LSTM RNNs model tool wear transition and observation functions from vibration data to enable one- and two-step ahead predictions and RUL estimation, outperforming simple RNNs.
and Schmidhuber, J., 1997
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Recurrent Neural Networks with Long Term Temporal Dependencies in Machine Tool Wear Diagnosis and Prognosis
LSTM RNNs model tool wear transition and observation functions from vibration data to enable one- and two-step ahead predictions and RUL estimation, outperforming simple RNNs.