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Olga Fink
Olga Fink
Laboratory of Intelligent Maintenance and Operations Systems, EPFL
Adresă de e-mail confirmată pe epfl.ch
Titlu
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Potential, challenges and future directions for deep learning in prognostics and health management applications
O Fink, Q Wang, M Svensén, P Dersin, WJ Lee, M Ducoffe
Engineering Applications of Artificial Intelligence 92, 103678, 2020
5102020
Continual test-time domain adaptation
Q Wang, O Fink, L Van Gool, D Dai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
5032022
Fusing physics-based and deep learning models for prognostics
MA Chao, C Kulkarni, K Goebel, O Fink
Reliability Engineering & System Safety 217, 107961, 2022
3392022
Combined fault location and classification for power transmission lines fault diagnosis with integrated feature extraction
YQ Chen, O Fink, G Sansavini
IEEE Transactions on Industrial Electronics 65 (1), 561-569, 2018
2632018
A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies
A Thelen, X Zhang, O Fink, Y Lu, S Ghosh, BD Youn, MD Todd, ...
Structural and Multidisciplinary Optimization 65 (12), 354, 2022
2532022
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
2462021
Two machine learning approaches for short-term wind speed time-series prediction
R Ak, O Fink, E Zio
IEEE transactions on neural networks and learning systems 27 (8), 1734-1747, 2016
2032016
Domain adaptive semantic segmentation with self-supervised depth estimation
Q Wang, D Dai, L Hoyer, L Van Gool, O Fink
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1592021
Domain adaptive transfer learning for fault diagnosis
Q Wang, G Michau, O Fink
2019 Prognostics and System Health Management Conference (PHM-Paris), 279-285, 2019
1562019
Predicting component reliability and level of degradation with complex-valued neural networks
O Fink, E Zio, U Weidmann
Reliability Engineering & System Safety 121, 198-206, 2014
1492014
Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer
G Michau, O Fink
Knowledge-Based Systems 216, 106816, 2021
1212021
A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
A Thelen, X Zhang, O Fink, Y Lu, S Ghosh, BD Youn, MD Todd, ...
Structural and multidisciplinary optimization 66 (1), 1, 2023
1192023
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
V Nemani, L Biggio, X Huan, Z Hu, O Fink, A Tran, Y Wang, X Zhang, ...
Mechanical Systems and Signal Processing 205, 110796, 2023
1112023
Temporal signals to images: Monitoring the condition of industrial assets with deep learning image processing algorithms
GR Garcia, G Michau, M Ducoffe, JS Gupta, O Fink
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2022
882022
Integrating expert knowledge with domain adaptation for unsupervised fault diagnosis
Q Wang, C Taal, O Fink
IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2021
842021
Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series
G Michau, G Frusque, O Fink
Proceedings of the National Academy of Sciences 119 (8), e2106598119, 2022
772022
Off-policy reinforcement learning for efficient and effective gan architecture search
Y Tian, Q Wang, Z Huang, W Li, D Dai, M Yang, J Wang, O Fink
European Conference on Computer Vision, 175-192, 2020
732020
Feature learning for fault detection in high-dimensional condition-monitoring signals
G Michau, Y Hu, T Palmé, O Fink
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2019
732019
Missing-class-robust domain adaptation by unilateral alignment
Q Wang, G Michau, O Fink
IEEE Transactions on Industrial Electronics 68 (1), 663-671, 2020
682020
Real-time model calibration with deep reinforcement learning
Y Tian, MA Chao, C Kulkarni, K Goebel, O Fink
Mechanical Systems and Signal Processing 165, 108284, 2022
642022
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