Wangjie (15 results)

paperback. Condition: New. Language:Chinese.Paperback. Publisher: New World Press. This book explores the psychological feeling of contemporary people. how they lead to changes in the face of diverse life. Mrs.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Hardcover. Condition: Brand New. 300 pages. 9.22x6.14x0.98 inches. In Stock.

Hardback. Condition: New. 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.…

Condition: New.

Condition: New.

Hardback. Condition: New. 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.…

paperback. Condition: Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. Neuware - »Protection of the Pecuniary Elements of the Post-Mortem Personality Right from the Chinese Background«: This thesis deals in depth with the post-mortem right of personality, in particular with the pecuniary elements. In addition, the author attempts to answer important questions about post-mortem personality rights. On the basis of a comparative study with German personality law and the findings of the economics, the deficits of Chinese legislation on post-mortem personality law are pointed out and suggestions for improvement presented.; Rechtsstreitigkeiten um Persönlichkeitsrechte sind nicht selten, insbesondere in Bezug auf wirtschaftliche Gewinne. Die Untersuchung richtet den Fokus auf das postmortale Persönlichkeitsrecht. Es ist in diesem Zusammenhang besonders interessant, da es keine eindeutige Antwort auf die Frage gibt, wer der Träger des postmortalen Persönlichkeitsrechts ist. Die Arbeit befasst sich eingehend mit dem postmortalen Persönlichkeitsrecht, insbesondere mit den vermögenswerten Bestandteilen.In Verbindung mit den Bestimmungen des Buches »Persönlichkeitsrecht« des chinesischen Zivilgesetzbuches und durch eine vergleichende Untersuchung des deutschen Persönlichkeitsrechts und den Erkenntnissen der Rechtsökonomie werden die Mängel und Unzulänglichkeiten der chinesischen Gesetzgebung zum Persönlichkeitsrecht aufgezeigt. Darüber hinaus erarbeitet der Autor einen Vorschlag, wie das postmortale Persönlichkeitsrecht und seine vermögenswerten Bestandteile besser geschützt werden können.; Dissertationsschrift.…

Condition: New. Wangjie Chen studied law at Tongji University in Shanghai from 2009 to 2013, where he passed the People s Republic of China Law Examination in 2012. He then continued to study for a Master s degree in law there, which he completed in 2016. Supported by a DA.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.