Manuel Arias Chao
Manuel Arias Chao
Dozent-Zurich University of Applied Sciences
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Cited by
Cited by
Fusing physics-based and deep learning models for prognostics
MA Chao, C Kulkarni, K Goebel, O Fink
Reliability Engineering & System Safety 217, 107961, 2022
Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics
M Arias Chao, C Kulkarni, K Goebel, O Fink
Data 6 (1), 5, 2021
Real-time model calibration with deep reinforcement learning
Y Tian*, M Arias Chao*, C Kulkarni, K Goebel, O Fink
Mechanical Systems and Signal Processing 165, 108284, 2022
Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models
M Arias Chao, C Kulkarni, K Goebel, O Fink
International Journal of Prognostics and Health Management 10, 2019
Uncertainty-Aware Prognosis via Deep Gaussian Process
L Biggio, A Wieland, MA Chao, I Kastanis, O Fink
IEEE Access 9, 123517-123527, 2021
Stochastic axial compressor variable geometry schedule optimisation
L Gallar, M Arias, V Pachidis, R Singh
Aerospace Science and Technology 15 (5), 366-374, 2011
Method for operating a gas turbine plant and gas turbine plant for implementing the method
MA Chao, B Wippel, C Balmer, R Jakoby
US Patent 9,752,504, 2017
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders
MA Chao, BT Adey, O Fink
Neurocomputing 454, 324-338, 2021
Compressor variable geometry schedule optimisation using genetic algorithms
L Gallar, M Arias, V Pachidis, P Pilidis
Turbo Expo: Power for Land, Sea, and Air 48852, 425-434, 2009
Learning to Calibrate Battery Models in Real-Time with Deep Reinforcement Learning
A Unagar, Y Tian, MA Chao, O Fink
Energies 14 (5), 1361, 2021
Calibration and uncertainty quantification of gas turbine performance models
MA Chao, DS Lilley, P Mathé, V Schloßhauer
Turbo Expo: Power for Land, Sea, and Air 56765, V07AT29A001, 2015
Method for operating a power plant
MA Chao, W Reiter, DS Lilley
US Patent App. 15/241,269, 2017
PHM Society Data Challenge 2021
MA Chao, C Kulkarni, K Goebel, O Fink
June, 2021
Combining Deep Learning and Physics-Based Performance Models for Diagnostics and Prognostics
M Arias Chao
ETH Zurich, 2021
Feature selecting hierarchical neural network for industrial system health monitoring: catching informative features with LASSO
G Michau, M Arias Chao, O Fink
Proceedings of the Annual Conference of the PHM Society 10 (1), 494, 2018
Method for determining at least one firing temperature for controlling a gas turbine and gas turbine for performing the method
MA Chao, A Nemet, UR Steiger, DS Lilley
US Patent App. 14/491,172, 2015
A Novel Intake Concept for Flue Gas Recirculation to Enhance CCS in an Industrial Gas Turbine
RC Payne, M Arias Chao, V Stefanis
ASME Turbo Expo 2014: Turbine Technical Conference and Exposition, 2014
A Benchmark on Uncertainty Quantification for Deep Learning Prognostics
L Basora, A Viens, MA Chao, X Olive
arXiv preprint arXiv:2302.04730, 2023
Physics-Informed Machine Learning for Predictive Maintenance: Applied Use-Cases
LG Huber, T Palmé, MA Chao
2023 10th IEEE Swiss Conference on Data Science (SDS), 66-72, 2023
Generic Hybrid Models for Prognostics of Complex Systems
K Bajarunas, M Baptista, K Goebel, MA Chao
Annual Conference of the PHM Society 15 (1), 2023
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