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 | 408 | 2020 |
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 | 315 | 2022 |
Fusing physics-based and deep learning models for prognostics MA Chao, C Kulkarni, K Goebel, O Fink Reliability Engineering & System Safety 217, 107961, 2022 | 240 | 2022 |
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 | 230 | 2018 |
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 | 189 | 2016 |
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 | 166 | 2021 |
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 | 141 | 2019 |
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 | 139 | 2014 |
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 | 132 | 2022 |
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 | 127 | 2021 |
Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer G Michau, O Fink Knowledge-Based Systems 216, 106816, 2021 | 93 | 2021 |
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 | 76* | 2022 |
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 | 65 | 2019 |
Missing-class-robust domain adaptation by unilateral alignment Q Wang, G Michau, O Fink IEEE Transactions on Industrial Electronics 68 (1), 663-671, 2020 | 64 | 2020 |
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 | 63 | 2020 |
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 | 56 | 2022 |
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 | 56 | 2021 |
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 | 54 | 2023 |
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 | 52 | 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 (033), 2019 | 44* | 2019 |