School of Engineering, Lancaster University +44 (0)1524 593700

Principal Investigator

Dr Xiandong Ma

Dr Xiandong Ma

Reader in Power and Energy Systems

Dr Ma is a Reader in power and energy systems at Lancaster University. His research interests include intelligent condition monitoring and fault diagnosis of renewable energy and power systems, condition-based operation and maintenance, modelling, optimisation and control of smart and micro grids, power conversion, renewable energy integration, and AI and digital twin solutions. He is a Chartered Engineer (CEng) and a Fellow of the Institution of Engineering and Technology (FIET), and has been ranked among the world's top 2% scientists by citation impact in the list released by Stanford University.

PhD Researchers

Zhefeng Zhang

Zhefeng Zhang

PhD Researcher

Zhefeng works on wind turbine condition monitoring from SCADA data: quantum and quantum-inspired machine learning for fault detection and diagnosis, remaining useful life estimation, and action-conditioned world models that support maintenance and power-limit decisions. He developed TurbineCore, the lab's end-to-end condition monitoring and decision platform.

Join us

We welcome enquiries from prospective PhD students and visiting researchers interested in condition monitoring, machine learning for energy systems, and power networks. Get in touch.

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New Engineering Building
Lancaster University, Gillow Ave, Bailrigg
Lancaster LA1 4YW, United Kingdom

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Tel: +44 (0)1524 593700
Mon – Fri, 9:00 – 17:00

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