Search Results for author: Manuel Arias Chao

Found 3 papers, 0 papers with code

Uncertainty-aware Remaining Useful Life predictor

no code implementations8 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.

Gaussian Processes

Real-Time Model Calibration with Deep Reinforcement Learning

no code implementations7 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.

Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders

no code implementations28 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.

Fault Detection One-class classifier +1

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