Dr Long Zhang's research mainly focuses on data-driven methods, machine and statistical learning, neural networks, system identification, frequency analysis, condition monitoring, intelligent control, instrumentation and their practical applications in smart renewable energy. One of his particular interest lies in the wind turbine condition monitoring and fault diagnosis. He is the director of the first industrial-scale wind turbine pitch bearing and blade laboratory at the University of Manchester.
He joined the University of Manchester as a lecturer on Dec 2015. He received the Bachelor and Master degrees in Electrical Engineering from Harbin Institute of Technology in 2008 and 2010, respectively. He received a PhD in Energy, Power and Intelligent Control from Queen's University Belfast in 2013. He was a Research associate for an EU PP7 funded project titled 'Demonstration of methods and tools for the optimisation of operational reliability of large-scale industrial wind turbines' in Department of Automatic Control and Systems Engineering at University of Sheffield from 2014 to 2015.