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 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.
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2014 2016
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
Vehicle suspensions
Condition monitoring
Rails
Locomotives
Fault detection
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 journal › Article
Vehicle suspensions
Condition monitoring
Rails
Identification (control systems)
Dynamical systems
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
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 proceeding › Conference contribution
Vehicle suspensions
Condition monitoring
Rails
Fault detection
Computer simulation
Activities 2013 2017
- 2 Oral presentation
Condition Monitoring of Rail Vehicle Suspension System by Model-Based Assessment
Liu, X. (Speaker), Stefano Bruni (Speaker)11 Jul 2017
Activity: Oral presentation
Analysis of Dynamic Wheel/Rail Interaction Caused By Measured Out-of-Round Railway Wheels
Liu, X. (Speaker), Wanming Zhai (Speaker), Stefano Bruni (Speaker)19 Aug 2013
Activity: Oral presentation