Browse by Supervisor

Kumpao, Tanapon (2024). A fault detection and diagnosis methodology for railway turnout systems based on parameter estimation. University of Birmingham. Ph.D.

Yang, Fan (2022). A function allocation framework for the automation of railway maintenance practices. University of Birmingham. Ph.D.

Li, Linxiao ORCID: 0000-0003-1204-6586 (2023). Application of high-redundancy actuation and feedback control to railway track switching. University of Birmingham. Ph.D.

Zhang, Zhenhe (2014). Development of an FPGA system for parallel processing of railway non-destructive testing data. University of Birmingham. M.Res.

Zhang, Dingcheng (2020). Effectiveness assessment of condition monitoring techniques for railway vehicles. University of Birmingham. Ph.D.

Inoue, Katsuhito ORCID: 0000-0002-3393-7372 (2024). Fault diagnosis of railway assets using acoustic monitoring. University of Birmingham. Ph.D.

Zhang, Zhenhe (2017). Improved railway vehicle inspection and monitoring through the integration of multiple monitoring technologies. University of Birmingham. Ph.D.

Ye, Jiaqi ORCID: 0000-0002-9593-8995 (2022). Next-Generation railway inspection approaches based on a combination of multiple sensing technologies. University of Birmingham. Ph.D.

Xin, Tingyu (2019). Non-invasive dynamic condition assessment techniques for railway pantographs. University of Birmingham. Ph.D.

Alam, Intekhab Asim (2018). Real time tracking using nature-inspired algorithms. University of Birmingham. Ph.D.

Duan, Huayu ORCID: 0000-0003-1525-2481 (2023). The application of active control in railway pantographs. University of Birmingham. Ph.D.

Preece, Russell James (2017). The use of a power model to assist the design of an energy harvesting data logger. University of Birmingham. M.Sc.