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
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Research Output
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
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
18
Citations
(Scopus)
A Partitioned Stator Variable Flux Reluctance Machine
Liu, X., Zhu, Z. Q. & Wu, Z. Z., 1 Mar 2016, In : IEEE Transactions on Energy Conversion. 31, 1, p. 78-92 15 p., 7271062.Research output: Contribution to journal › Article
21
Citations
(Scopus)
Comparative Study of Biased Flux Permanent Magnet Machines with Doubly Salient Permanent Magnet Machines Considering with Influence of Flux Focusing
Liu, X., Shi, J. T., Zhu, Z. Q. & Wu, D., 1 Dec 2016, In : Electric Power Systems Research. 141, p. 281-289 9 p.Research output: Contribution to journal › Article
1
Citation
(Scopus)
Activities
- 2 Oral presentation
Condition Monitoring of Rail Vehicle Suspension System by Model-Based Assessment
Xiaoyuan Liu (Speaker), Stefano Bruni (Speaker)11 Jul 2017
Activity: Talk or presentation types › Oral presentation
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 2013
Activity: Talk or presentation types › Oral presentation