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 ...

In summary, the proposed LSTM-Transformer fusion prediction model exhibits high accuracy and stability in battery RUL forecasting. It provides effective technical support for the development of ...

Remaining useful life (RUL) prediction of aeroengine is a crucial problem in the aerospace industry and it is usually based on monitoring sensor parameters. Accurate RUL prediction is of great ...

The team proposed a prediction method based on the MLP-Mixer and Mixture of Expert (MMMe) model, for RUL prediction. Experimental results on NASA and CALCE public datasets show that the proposed ...

LSTM and GRU delivered the best results overall, demonstrating their strength in modeling long-term temporal dependencies in noisy sensor data. 1D CNN performed competitively, approaching recurrent ...

Notifications You must be signed in to change notification settings This project implements a predictive maintenance solution for aircraft turbofan engines using the NASA C-MAPSS dataset. The primary ...