Demonstration of a Digital Twin Framework for Model-Based Operational Condition Monitoring of Crossing Panels

Author:

Milošević Marko D. G.ORCID,Pålsson Björn A.ORCID,Nissen Arne,Nielsen Jens C. O.ORCID,Johansson HåkanORCID

Publisher

Springer International Publishing

Reference10 articles.

1. Cornish: Life-time monitoring of in service switches and crossings through field experimentation. PhD Thesis. Imperial College London (2014)

2. Zwanenburg, W.-J.: Modelling degradation processes of switches & crossings for maintenance & renewal planning on the Swiss railway network. PhD Thesis. Swiss Federal Institute of Technology Lausanne (2009)

3. In2Track, Deliverable 2.2: Enhanced S&C whole system analysis, design and virtual validation, Chapter 3 (2019)

4. Erikstad, S.O.: Merging physics, big data analytics and simulation for the next-generation digital twins. High-Perform. Marine Vehicles, 141–151 (2017)

5. Milošević, M., Pålsson, B., Nissen, A., Johansson, H., Nielsen, J.: On tailored signal processing tools for operational condition monitoring of railway switches and crossings. In: Proceedings of the International Conference on Noise and Vibration Engineering, Leuven, Belgium (2020)

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