Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models. - Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (CoRR, 2019)

Knowledge-Induced Learning with Adaptive Sampling Variational Autoencoders for Open Set Fault Diagnostics. - Manuel Arias Chao; Bryan T. Adey; Olga Fink (CoRR, 2019)

Real-Time Model Calibration with Deep Reinforcement Learning. - Yuan Tian 014; Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (CoRR, 2020)

Battery Model Calibration with Deep Reinforcement Learning. - Ajaykumar Unagar; Yuan Tian 014; Manuel Arias Chao; Olga Fink (CoRR, 2020)

Uncertainty-Aware Prognosis via Deep Gaussian Process. - Luca Biggio; Alexander Wieland; Manuel Arias Chao; Iason Kastanis; Olga Fink (IEEE Access, 2021)

Uncertainty-aware Remaining Useful Life predictor. - Luca Biggio; Alexander Wieland; Manuel Arias Chao; Iason Kastanis; Olga Fink (CoRR, 2021)

Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics. - Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (Data, 2021)

Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders. - Manuel Arias Chao; Bryan T. Adey; Olga Fink (Neurocomputing, 2021)

Combining Deep Learning and Physics-Based Performance Models for Diagnostics and Prognostics. - Manuel Arias Chao (2021)

Fusing physics-based and deep learning models for prognostics. - Manuel Arias Chao; Chetan S. Kulkarni; Kai Goebel; Olga Fink (Reliab. Eng. Syst. Saf., 2022)

Physics-Informed Machine Learning for Predictive Maintenance: Applied Use-Cases. - Lilach Goren Huber; Thomas Palmé; Manuel Arias Chao (SDS, 2023)

Health index estimation through integration of general knowledge with unsupervised learning. - Kristupas Bajarunas; Marcia Lourenco Baptista; Kai Goebel; Manuel Arias Chao (Reliab. Eng. Syst. Saf., 2024)

A benchmark on uncertainty quantification for deep learning prognostics. - Luis Basora; Arthur Viens; Manuel Arias Chao; Xavier Olive (Reliab. Eng. Syst. Saf., 2025)

Label synchronization strategies for hybrid federated learning. - Raúl Llasag Rosero; Catarina Silva 001; Bernardete Ribeiro; Melania Albisser; Martin H. Brutsche; Manuel Arias Chao (Reliab. Eng. Syst. Saf., 2025)