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ORCIDManuel Arias Chao
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2020 – today
- 2025
[j7]Luis Basora
, Arthur Viens, Manuel Arias Chao, Xavier Olive:
A benchmark on uncertainty quantification for deep learning prognostics. Reliab. Eng. Syst. Saf. 253: 110513 (2025)- [j6]Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro, Melania Albisser, Martin H. Brutsche, Manuel Arias Chao:
Label synchronization strategies for hybrid federated learning. Reliab. Eng. Syst. Saf. 256: 110751 (2025) - 2024
- [j5]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: 110352 (2024) - [i8]Kristupas Bajarunas, Marcia Lourenco Baptista, Kai Goebel, Manuel Arias Chao:
Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning. CoRR abs/2405.04990 (2024) - 2023
- [c1]Lilach Goren Huber, Thomas Palmé, Manuel Arias Chao:
Physics-Informed Machine Learning for Predictive Maintenance: Applied Use-Cases. SDS 2023: 66-72 - [i7]Luis Basora, Arthur Viens, Manuel Arias Chao, Xavier Olive:
A Benchmark on Uncertainty Quantification for Deep Learning Prognostics. CoRR abs/2302.04730 (2023) - 2022
- [j4]Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Fusing physics-based and deep learning models for prognostics. Reliab. Eng. Syst. Saf. 217: 107961 (2022) - 2021
- [b1]Manuel Arias Chao:
Combining Deep Learning and Physics-Based Performance Models for Diagnostics and Prognostics. ETH Zurich, Zürich, Switzerland, 2021 - [j3]Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink:
Uncertainty-Aware Prognosis via Deep Gaussian Process. IEEE Access 9: 123517-123527 (2021) - [j2]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): 5 (2021) - [j1]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: 324-338 (2021) - [i6]Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink:
Uncertainty-aware Remaining Useful Life predictor. CoRR abs/2104.03613 (2021) - 2020
- [i5]Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Fusing Physics-based and Deep Learning Models for Prognostics. CoRR abs/2003.00732 (2020) - [i4]Yuan Tian, Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Real-Time Model Calibration with Deep Reinforcement Learning. CoRR abs/2006.04001 (2020) - [i3]Ajaykumar Unagar, Yuan Tian, Manuel Arias Chao, Olga Fink:
Battery Model Calibration with Deep Reinforcement Learning. CoRR abs/2012.04010 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1908.01529 (2019) - [i1]Manuel Arias Chao, Bryan T. Adey, Olga Fink:
Knowledge-Induced Learning with Adaptive Sampling Variational Autoencoders for Open Set Fault Diagnostics. CoRR abs/1912.12502 (2019)
Coauthor Index
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last updated on 2025-01-09 12:51 CET by the dblp team
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