Xiaoyuan Liu

Industrial Fellow, Department of Engineering and Technology
School of Computing and Engineering
Member, Institute of Railway Research

https://orcid.org/0000-0001-6821-3166

Phone01484 472504
EmailX.Liu@hud.ac.uk
Websitehttps://research.hud.ac.uk

72 Citations
2 h-Index

Research output per year

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Personal profile

Biography

Dr. Xiaoyuan Liu joined the Institute of Railway Research (IRR), at University of Huddersfield as an Industrial Fellow in 2016.

He obtained his Master’s degree on Vehicle Engineering from the State Key Laboratory of Traction Power (TPL), Southwest Jiaotong University in 2012.

In 2016, he finished his PhD degree in Applied Mechanics from the Dipartimento di Meccanica, Politecnico di Milano (PoliMi). During his PhD and Masters, he participated in several fundamental research projects within the railway industry, including the condition monitoring of vehicle suspension systems and wheel out-of-roundness (OOR)

He accomplished his PhD degree with the financial support by ‘Associazione Eugenio e Germana Parizzi’, a railway dedicated foundation, from 2013 to 2015.

Research Expertise and Interests

Railway related fields
Condition monitoring of the rail vehicle system
Vehicle-track dynamic interaction

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Research Output

72 Citations
2 h-Index
3 Conference contribution
3 Article

Active control of independently-rotating wheels with gyroscopes and tachometers - simple solutions for perfect curving and high stability performance: simple solutions for perfect curving and high stability performance

Liu, X., Goodall, R. & Iwnicki, S., 18 Jun 2020, In : Vehicle System Dynamics. 16 p.

Research output: Contribution to journal › Article

A Direct Control Approach for Automatic Steering and Stability of Motorized Independently-Rotating Wheels

Liu, X., Goodall, R. & Iwnicki, S., 14 Feb 2020, Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019. Klomp, M., Bruzelius, F., Nielsen, J. & Hillemyr, A. (eds.). 1 ed. Springer, p. 24-30 7 p. (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

An efficient condition monitoring strategy of railway vehicle suspension based on recursive least-square algorithm

Liu, X., Alfi, S. & Bruni, S., 3 May 2016, The Dynamics of Vehicles on Roads and Tracks: Proceedings of the 24th Symposium of the International Association for Vehicle System Dynamics (IAVSD 2015). Rosenberger, M., Plöchl, M., Six, K. & Edelmann, J. (eds.). CRC Press/Balkema, p. 861-870 10 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution