Manuel Arias Chao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Unsupervised Learning

Sparse Metric Learning

General Knowledge

Top Venues

Reliab. Eng. Syst. Saf.

Publications

Kristupas Bajarunas, Marcia Lourenco Baptista, Kai Goebel, Manuel Arias Chao
Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning. CoRR (2024)
Kristupas Bajarunas, Marcia Lourenco Baptista, Kai Goebel, Manuel Arias Chao
Health index estimation through integration of general knowledge with unsupervised learning. Reliab. Eng. Syst. Saf. 251 (2024)
Lilach Goren Huber, Thomas Palmé, Manuel Arias Chao
Physics-Informed Machine Learning for Predictive Maintenance: Applied Use-Cases. SDS (2023)
Luis Basora, Arthur Viens, Manuel Arias Chao, Xavier Olive
A Benchmark on Uncertainty Quantification for Deep Learning Prognostics. CoRR (2023)
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Fusing physics-based and deep learning models for prognostics. Reliab. Eng. Syst. Saf. 217 (2022)
Manuel Arias Chao, Bryan T. Adey, Olga Fink
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders. Neurocomputing 454 (2021)
Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink
Uncertainty-aware Remaining Useful Life predictor. CoRR (2021)
Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink
Uncertainty-Aware Prognosis via Deep Gaussian Process. IEEE Access 9 (2021)
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics. Data 6 (1) (2021)
Yuan Tian, Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Real-Time Model Calibration with Deep Reinforcement Learning. CoRR (2020)
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Fusing Physics-based and Deep Learning Models for Prognostics. CoRR (2020)
Ajaykumar Unagar, Yuan Tian, Manuel Arias Chao, Olga Fink
Battery Model Calibration with Deep Reinforcement Learning. CoRR (2020)
Manuel Arias Chao, Bryan T. Adey, Olga Fink
Knowledge-Induced Learning with Adaptive Sampling Variational Autoencoders for Open Set Fault Diagnostics. CoRR (2019)
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models. CoRR (2019)