On a validation split of NASA's CMAPSS FD001 data, a two-layer bidirectional LSTM with dropout predicts remaining useful life with RMSE 26.68, with no official test set evaluation.
Remaining useful life prediction for aircraft engines using lstm,
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Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM)
On a validation split of NASA's CMAPSS FD001 data, a two-layer bidirectional LSTM with dropout predicts remaining useful life with RMSE 26.68, with no official test set evaluation.