| On-board monitoring for smart assessment of railway infrastructure: A systematic review C Hoelzl, V Dertimanis, M Landgraf, L Ancu, M Zurkirchen, E Chatzi The Rise of Smart Cities, 223-259, 2022 | 26 | 2022 |
| Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems G Arcieri, C Hoelzl, O Schwery, D Straub, KG Papakonstantinou, E Chatzi Reliability Engineering & System Safety 239, 109496, 2023 | 19 | 2023 |
| Classification of rail irregularities from axle box accelerations using random forests and convolutional neural networks C Hoelzl, L Ancu, H Grossmann, D Ferrari, V Dertimanis, E Chatzi Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A …, 2012 | 9 | 2012 |
| POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance G Arcieri, C Hoelzl, O Schwery, D Straub, KG Papakonstantinou, E Chatzi Machine Learning, 1-29, 2024 | 8 | 2024 |
| Data driven condition assessment of railway infrastructure C Hoelzl, V Dertimanis, E Chatzi, D Winklehner, S Züger, A Oprandi Bridge maintenance, safety, management, life-cycle sustainability and …, 2021 | 7 | 2021 |
| Operational regime clustering for the construction of PCE-based surrogates of operational wind turbines LD Avendaño Valencia, B Barahona, C Hoelzl, E Chatzi Proceedings of the 7th international conference on advances in experimental …, 2017 | 7 | 2017 |
| Fusing expert knowledge with monitoring data for condition assessment of railway welds C Hoelzl, G Arcieri, L Ancu, S Banaszak, A Kollros, V Dertimanis, E Chatzi Sensors 23 (5), 2672, 2023 | 6 | 2023 |
| Weld condition monitoring using expert informed extreme value analysis CA Hoelzl, V Dertimanis, A Kollros, L Ancu, E Chatzi European Workshop on Structural Health Monitoring, 711-720, 2022 | 5 | 2022 |
| Applying design knowledge and machine learning to scada data for classification of wind turbine operating regimes B Barahona, C Hoelzl, E Chatzi 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 5 | 2017 |
| A Model‐Based Bayesian Inference Approach for On‐Board Monitoring of Rail Roughness Profiles: Application on Field Measurement Data of the Swiss Federal Railways Network CD Stoura, VK Dertimanis, C Hoelzl, C Kossmann, A Cigada, EN Chatzi Structural Control and Health Monitoring 2023 (1), 8855542, 2023 | 2 | 2023 |
| Axle box accelerometer signal identification and modelling CA Hoelzl, LDA Valencia, VK Dertimanis, EN Chatzi, M Zurkirchen Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | 2 | 2020 |
| Data-Driven Railway Vehicle Parameter Tuning using Markov-Chain Monte Carlo Bayesian updating C Hoelzl, L Keller, T Simpson, C Stoura, C Kossmann, E Chatzi Journal of Physics: Conference Series 2647 (18), 182024, 2024 | 1 | 2024 |
| Vold–Kalman filter order tracking of axle box accelerations for track stiffness assessment C Hoelzl, V Dertimanis, L Ancu, A Kollros, E Chatzi Mechanical Systems and Signal Processing 204, 110817, 2023 | 1 | 2023 |
| Vold-Kalman Filter Order tracking of Axle Box Accelerations for Railway Stiffness Assessment CA Hoelzl, V Dertimanis, L Ancu, A Kollros, E Chatzi arXiv preprint arXiv:2209.12899, 2022 | 1 | 2022 |
| OMISM-On board monitoring for integrated systems understanding & management improvement in railways TH Yan, C Hoelzl International Rail and Mobility Conference (nextRail19), 2019 | 1 | 2019 |
| Integration of On-Board Monitoring (OBM) data into infrastructure management for effective decision-making in railway maintenance TH Yan, C Hoelzl, F Corman, V Dertimanis, E Chatzi Enhancing Decision-Making in Railway Maintenance and Inspection through the …, 2024 | | 2024 |
| Expert Knowledge-Driven Condition Assessment of Railway Welds from Axle Box Accelerations Using Random Forests and Bayesian Logistic Regression C Hoelzl, L Ancu, S Banaszak, A Kollros, V Dertimanis, E Chatzi Society for Experimental Mechanics Annual Conference and Exposition, 169-176, 2023 | | 2023 |
| On board monitoring for railway Infrastructure condition assessment C Hoelzl ETH Zurich, 2023 | | 2023 |
| A comparison of value-based and policy-based reinforcement learning for monitoring-informed railway maintenance planning G Arcieri, C Hoelzl, O Schwery, D Straub, KG Papakonstantinou, E Chatzi 14th International Workshop on Structural Health Monitoring (IWSHM 2023 …, 2023 | | 2023 |
| Soft Actor-Critic for railway optimal maintenance planning under partial observability G Arcieri, C Hoelzl, O Schwery, D Straub, KG Papakonstantinou, E Chatzi ICASP14 Conference Proceedings, 2023 | | 2023 |
