AI Techniques in Ev Motor and Inverter Fault Detection and Diagnosis

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.

A propos de l'auteur

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.

Résumé

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.

Détails du produit

• Auteurs: Yihua Hu, Yihua (Reader Hu, Wangjie Lang, Wangjie (University of York Lang, Xiaotian Zhang, Xiaotian (University of York Zhang
• Edition: Institution of Engineering & Technology
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 19.12.2023
• EAN: 9781839537622
• ISBN: 978-1-83953-762-2
• Pages: 293
• Dimensions: 156 mm x 234 mm x 18 mm
• Poids: 594 g
• Thème: Transportation
• Catégorie: Sciences naturelles, médecine, informatique, technique > Technique > Machines, ingénierie