Surrogate modelling of railway pantograph-catenary interaction using deep Long-Short-Term-Memory neural networks-Reference-Cited by-同舟云学术

Surrogate modelling of railway pantograph-catenary interaction using deep Long-Short-Term-Memory neural networks

Published:2023-09 Issue: Volume:187 Page:105386
ISSN:0094-114X
Container-title:Mechanism and Machine Theory
language:en
Short-container-title:Mechanism and Machine Theory

Author:

Song Yang,Wang Hongrui,Frøseth Gunnstein,Nåvik Petter,Liu Zhigang,Rønnquist Anders

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Mechanics of Materials,Bioengineering

Reference57 articles.

1. Pantograph–catenary interaction: recent achievements and future research challenges;Bruni;Int. J. Rail Transp.,2018

2. Review of pantograph and catenary interaction;Zhang;Front. Mech. Eng.,2018

3. MBSNet: a deep learning model for multibody dynamics simulation and its application to a vehicle-track system;Ye;Mech. Syst. Signal Process.,2021

4. Optimisation of train speed to limit energy consumption;Nespoulous;Veh. Syst. Dyn.,2021

5. Data-driven fault diagnosis for traction systems in high-speed trains: a survey, challenges, and perspectives;Chen;IEEE Trans. Intell. Transp. Syst.,2020

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