Description: AI Techniques in EV Motor and Inverter Fault Detection and Diagnosis by Yihua Hu, Xiaotian Zhang, Wangjie Lang Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book comprehensively covers the recently-developed AI techniques for solving condition monitoring and fault detection issues in EV electrical conversion systems. Chapters systematically address condition monitoring and fault detection in EV motors and inverters, with illustrative case studies. Publisher Description The motor drive system plays a significant role in the safety and function of electric vehicles as a bridge for power transmission. In order to enhance the efficiency and stability of the drive system, more and more studies based on AI technology are devoted to the fault detection and diagnosis of the motor drive system.AI Techniques in EV Motor and Inverter Fault Detection and Diagnosis comprehensively covers the recently-developed AI applications for solving condition monitoring and fault detection issues in EV electrical conversion systems. AI-based fault detection and diagnosis (FDD) is divided into two main steps: feature extraction and fault classification. The application of different signal processing methods in feature extraction is discussed. In particular, the application of traditional machine learning and deep learning algorithms for fault classification is presented in detail. In addition, the characteristics of all techniques reviewed are summarised.Chapters systematically address condition monitoring and fault detection in EV motors and inverters. Four case studies are including, covering AI based electric motor fault diagnosis, AI based inverter/IGBT fault diagnosis, AI based bearing fault diagnosis, and AI based gearbox fault diagnosis. Alongside each case study, the authors discuss the differences between conventional methods and AI-based methods in EV applications, and the motivation, advantages, shortcomings and challenges of AI-based methods. Finally, the latest developments, research gaps and future challenges in fault monitoring and diagnosis of motor faults are explored.Providing a systematic and thorough exploration of its field, this book is a valuable resource for researchers and students with an interest in the applications of AI in electric vehicles, and for engineers and research and development professionals in the electric automotive industry. Author Biography Yihua Hu is a reader at the Kings 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. Details ISBN 1839537620 ISBN-13 9781839537622 Title AI Techniques in EV Motor and Inverter Fault Detection and Diagnosis Author Yihua Hu, Xiaotian Zhang, Wangjie Lang Format Hardcover Year 2023 Pages 293 Publisher Institution of Engineering and Technology GE_Item_ID:157760260; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. 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Price: 157.92 USD
Location: Fairfield, Ohio
End Time: 2024-08-17T03:18:50.000Z
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Restocking Fee: No
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Refund will be given as: Money Back
ISBN-13: 9781839537622
Book Title: AI Techniques in EV Motor and Inverter Fault Detection and Diagno
Number of Pages: 293 Pages
Language: English
Publication Name: Ai Techniques in Ev Motor and Inverter Fault Detection and Diagnosis
Publisher: Institution of Engineering & Technology
Subject: Civil / Transportation, General
Publication Year: 2023
Type: Textbook
Author: Xiaotian Zhang, Wangjie Lang, Yihua Hu
Item Length: 9.2 in
Subject Area: Transportation, Technology & Engineering
Item Width: 6.1 in
Series: Transportation Ser.
Format: Hardcover
