AI Techniques in EV Motor and Inverter Fault Detection and Diagnosis

Author:   Yihua Hu (Reader, King's College London (KCL), UK) ,  Xiaotian Zhang (University of York, UK) ,  Wangjie Lang (University of York, UK)
Publisher:   Institution of Engineering and Technology
ISBN:  

9781839537622


Pages:   293
Publication Date:   19 December 2023
Format:   Hardback
Availability:   In Print   Availability explained
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AI Techniques in EV Motor and Inverter Fault Detection and Diagnosis


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Author:   Yihua Hu (Reader, King's College London (KCL), UK) ,  Xiaotian Zhang (University of York, UK) ,  Wangjie Lang (University of York, UK)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
ISBN:  

9781839537622


ISBN 10:   1839537620
Pages:   293
Publication Date:   19 December 2023
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Yihua Hu is a reader at the King's College London, UK. He was previously the head of the Electrical Engineering Group at the University of York. He is a fellow of the IET, holds a Royal Society Industry Fellowship, and is a member of the UK Young Academy. He has published 120 journal papers in IEEE Transactions journals with an H-index of 55 in Google Scholar. He is the author of 15 patents. Xiaotian Zhang is currently pursuing his PhD in electrical and electronics engineering at the University of York, UK. He received his BSc degree in electrical engineering from Hohai University, Nanjing, China, in 2018 and received his MSc degree in electrical engineering from Kings College London, London, UK, in 2020. His research interests include AI-supported EV electric powertrain health monitoring, fault detection, and safety improvement. Wangjie Lang is currently pursuing his PhD in electrical and electronics engineering at the University of York, UK. He received his BEng degree in electrical engineering from the University of Strathclyde, Glasgow, UK, and Lanzhou University of Technology, Lanzhou, China, in 2020. His research interests include electrical machine fault detection and diagnosis and EV powertrain break engineering-based AI techniques.

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