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Dr Long Zhang's research mainly focuses on data-driven intelligence, machine and statistical learning, neural networks, system identification, frequency analysis, condition monitoring, intelligent control, instrumentation and their practical applications in smart renewable energy and robotics. 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 is also the director of MSc course in Advanced Control and System Engineering.
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.
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.
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Chao Zhang,Long Zhang
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2024)
Applied Energy (2024): 123345
Mechanical Systems and Signal Processing (2024): 111259
APPLIED SCIENCES-BASELno. 1 (2024): 436
Lecture Notes in Mechanical Engineering International Congress and Workshop on Industrial AI and eMaintenance 2023pp.237-249, (2024)
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Chao Zhang,Long Zhang
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNALno. 2 (2024): 1089-1106
Elsevier eBookspp.249-275, (2023)
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Mechanisms and machine sciencepp.390-397, (2023)
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