Research Output per year
Research Output per year
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
Fingerprint
Dive into the research topics where Xiaoyuan Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 13 Similar Profiles
Research Output
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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 › peer-review
2 Citations (Scopus) -
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 › peer-review
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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 › peer-review
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An efficient recursive least square-based condition monitoring approach for a rail vehicle suspension system
Liu, X., Alfi, S. & Bruni, S., 2016, In: Vehicle System Dynamics. 54, 6, p. 814-830 17 p.Research output: Contribution to journal › Article › peer-review
24 Citations (Scopus) -
Analysis of vertical dynamic wheel/rail interaction caused by polygonal wheels on high-speed trains
Liu, X. & Zhai, W., 15 Jun 2014, In: Wear. 314, 1-2, p. 282-290 9 p.Research output: Contribution to journal › Article › peer-review
54 Citations (Scopus)
Activities
- 2 Oral presentation
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Condition Monitoring of Rail Vehicle Suspension System by Model-Based Assessment
Xiaoyuan Liu (Speaker) & Stefano Bruni (Speaker)
11 Jul 2017Activity: Talk or presentation types › Oral presentation
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Analysis of Dynamic Wheel/Rail Interaction Caused By Measured Out-of-Round Railway Wheels
Xiaoyuan Liu (Speaker), Wanming Zhai (Speaker) & Stefano Bruni (Speaker)
19 Aug 2013Activity: Talk or presentation types › Oral presentation