Olga Fink

Potential, challenges and future directions for deep learning in prognostics and health management applications

Olga Fink, Qin Wang, Markus Svensén et al. · Engineering Applications of Artificial Intelligence · 2020 · 496 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +19

Continual Test-Time Domain Adaptation

Qin Wang, Olga Fink, Luc Van Gool et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 355 citations · Full text

Artificial Intelligence, Target Domain, Llm Fine-tuning +14

Fusing physics-based and deep learning models for prognostics

Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel et al. · Repository for Publications and Research Data (ETH Zurich) · 2022 · 323 citations · Full text

Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics

Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel et al. · Data · 2021 · 271 citations · Full text

Software Maintenance, New Realistic Dataset, Engineering +23

Combined Fault Location and Classification for Power Transmission Lines Fault Diagnosis With Integrated Feature Extraction

Yann Qi Chen, Olga Fink, Giovanni Sansavini · IEEE Transactions on Industrial Electronics · 2017 · 246 citations

Fault Diagnosis, Engineering, Machine Learning +20