Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM
random-forest linear-regression regression lstm-model logistic-regression regression-models lstm-neural-networks vector-autoregression rul remaining-useful-life phm phm-models
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Updated
Oct 16, 2021 - Jupyter Notebook