Mr Xuefei Wang

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Xuefei Wang is a PhD research student with Dr L. Zhang and Prof W. P. Heath in the Department of Electrical and Electronic Engineering at The University of Manchester. He is one of the research members of the Wind Turbine Pitch Bearing and Blade Laboratory at The University of Manchester. His research focuses on investigating advanced data-driven methods including but not limited to time-frequency analysis, intelligent control, machine and statistical learning, system identification methods etc. and their applications in wind energy industry. One of his particular research interests lies in wind trubine blades condition assessment and fault diagnosis, and the goal of his project is to timely detect and locate the incipient blade defects, identify corresponding failure modes, and predict the blades fatigue lifetime.


Xuefei Wang was born and raised in Shanxi province before heading north to Beijing to study automation science at Beihang University (BUAA) in China. In the third year, he took the opportunity to study abroad as an exchange student at the University of California, Los Angeles (UCLA) learning public management and sociology before coming back to Beijing to complete the final year of his B.Sc. degree. After graduation he went abroad again to Manchester to study Advanced Control and Systems Engineering at the University of Manchester, the city where its study originated. After completing the M.Sc. degree he applied to become a Ph.D. student with the same department, and he is currently living and studying in Manchester until the final year of his project.

Memberships of committees and professional bodies

  • Teaching assistant

  • PostGraduate Researcher Representative

  • Dept. Health and Safety Committee member


  • Control Systems, System Identification, Data Processing, Wind Energy, Structural Health Monitoring, Mechanical Analysis

Education / academic qualifications

  • Doctor of Philosophy, Data-driven methods and their applications in wind energy, The University of Manchester (2018 - 2022)
  • Master of Science, Advanced Control and Systems Engineering, The University of Manchester (2017 - 2018)
  • Bachelor of Science in Engineering, Automation Science, Beihang University (BUAA) (2012 - 2016)

Related information


Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Prize: Prize (including medals and awards)

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