Uncertainty-aware deep learning for monitoring and fault diagnosis from synthetic data

Author:

Das Laya,Gjorgiev BlazheORCID,Sansavini GiovanniORCID

Funder

Swiss Federal Office of Energy

Publisher

Elsevier BV

Reference34 articles.

1. A Bayesian deep learning framework for RUL prediction incorporating uncertainty quantification and calibration;Lin;IEEE Trans Ind Inf,2022

2. A physics-informed autoencoder for system health state assessment based on energy-oriented system performance;Huang;Reliab Eng Syst Saf,2024

3. Fusing physics-based and deep learning models for prognostics;Chao;Reliab Eng Syst Saf,2022

4. Knowledge-informed deep networks for robust fault diagnosis of rolling bearings;Su;Reliab Eng Syst Saf,2023

5. Deep learning-based model predictive control for resonant power converters;Lucia;IEEE Trans Ind Inf,2020

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