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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

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 21 Similar Profiles
Vehicle suspensions Engineering & Materials Science
Condition monitoring Engineering & Materials Science
Rails Engineering & Materials Science
Milling (machining) Engineering & Materials Science
Fault detection Engineering & Materials Science
Textures Engineering & Materials Science
Identification (control systems) Engineering & Materials Science
Railroad cars Engineering & Materials Science

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Research Output 2003 2016

  • 6 Article
  • 3 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 proceedingConference contribution

Vehicle suspensions
Condition monitoring
Rails
Locomotives
Fault detection
6 Citations

An efficient recursive least square-based condition monitoring approach for a rail vehicle suspension system

Liu, X., Alfi, S. & Bruni, S., 4 Apr 2016, In : Vehicle System Dynamics. 54, 6, p. 814-830 17 p.

Research output: Contribution to journalArticle

Vehicle suspensions
Condition monitoring
Rails
Identification (control systems)
Dynamical systems
14 Citations

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 journalArticle

rails
wheels
Rails
Wheels
high speed

Condition monitoring of rail vehicle suspension based on recursive least-square algorithm

Liu, X., Alfi, S. & Bruni, S., 2014, Proceedings of the 14th mini conference on vehicle system dynamics, identification and anomalies. Budapest University of Technology and Economics, p. 47-54 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Vehicle suspensions
Condition monitoring
Rails
Fault detection
Computer simulation
1 Citations
Surface Texture
textures
Textures
Three-dimensional
Industrial Oils

Activities 2013 2017

  • 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 typesOral 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 typesOral presentation