1 code implementation • 9 Feb 2023 • Luis Basora, Arthur Viens, Manuel Arias Chao, Xavier Olive
The assessment includes RUL prediction accuracy, the quality of predictive uncertainty, and the possibility to break down the total predictive uncertainty into its aleatoric and epistemic parts.
no code implementations • 8 Apr 2021 • Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink
Remaining Useful Life (RUL) estimation is the problem of inferring how long a certain industrial asset can be expected to operate within its defined specifications.
no code implementations • 7 Jun 2020 • Yuan Tian, Manuel Arias Chao, Chetan Kulkarni, Kai Goebel, Olga Fink
The dynamic, real-time, and accurate inference of model parameters from empirical data is of great importance in many scientific and engineering disciplines that use computational models (such as a digital twin) for the analysis and prediction of complex physical processes.
no code implementations • 28 Dec 2019 • Manuel Arias Chao, Bryan T. Adey, Olga Fink
With this work, we propose training a variational autoencoder (VAE) with labeled and unlabeled samples while inducing implicit supervision on the latent representation of the healthy conditions.