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