A domain-adversarial LSTM learns invariant features from labeled source RUL data to enable predictions in unlabeled target domains with distribution shifts due to varying conditions and fault modes.
Tian, An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring, Journal of Intelligent Manufacturing 23 (2012) 227–237
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Remaining Useful Lifetime Prediction via Deep Domain Adaptation
A domain-adversarial LSTM learns invariant features from labeled source RUL data to enable predictions in unlabeled target domains with distribution shifts due to varying conditions and fault modes.