Purpose: A Python script containing all reusable utility functions. Contents: Encapsulates functions for data import, RUL calculation (max_cycles), rolling feature generation (rolling_mean_std), ...

Remaining Useful Life Prediction with LSTM PyTorch implementation of remaining useful life (RUL) prediction with LSTM, with evaluations on NASA C-MAPSS engine data sets. Partially inspired by Zheng, S ...

This paper proposes a clustering based deep learning network to predict Remaining Useful Life or RUL for a system component. This RUL means length from current time to end of component useful life ...

Using the sparse idea of Highway network to design a sparse denoising LSTM network that suppresses redundant neurons to achieve more accurate residual life (RUL) prediction. Different from the idea ...