- document
-
Mitici, M.A. (author), de Pater, I.I. (author), Zeng, Zhiguo (author), Barros, Anne (author)We pose the maintenance planning for systems using probabilistic Remaining Useful Life (RUL) prognostics as a renewal reward process. Data-driven probabilistic RUL prognostics are obtained using a Convolutional Neural Network with Monte Carlo dropout. The maintenance planning model is illustrated for aircraft turbofan engines. The results show...conference paper 2023