Proceedings of the 1st Electrical Artificial Intelligence Conference, Volume 2

EAIC 2024, 6-8 December, Nanjing, China
Angebot€405,53
inkl. MwSt. • Kein physischer Versand
Sofort per Download lieferbar
Ihr Downloadlink kommt direkt per E-Mail.
PDF: lesbar auf Smartphone, Tablet, Computer und in vielen PDF-Apps.

E-Book
eBook-Format:PDF
Inhaltsangabe

Chapter 1. Global Efficiency Optimization of High-Gain IPOP System Based on Genetic Algorithm.- Chapter 2. IGBT Open-Circuit Fault Diagnosis of MMC Submodules Based on Tensor Data-Driven Approach.- Chapter 3. Study on the diagnosis of industrial robot abnormalities based on SVDD.- Chapter 4. Small defect detection of power electronic devices based on YOLO-DHGC.- Chapter 5. Research on Parallel Multimodal Current Sharing Based on Merged Coupled Inductance.- Chapter 6. Study on Fault Diagnosis of Power Electronic Devices in Power Conversion System Based on Machine Learning.- Chapter 7. Power Electronics Topology Derivation: A Technical Review and Cutting-edge Exploration.

Produktdetails
  • Erscheinungsdatum: 11.04.2025
  • Autor/Autorin: Ronghai Qu
  • Reihe: Lecture Notes in Electrical Engineering
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 88.6 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 750 Seiten
  • ISBN: 9789819640638
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Herstellerinformationen
Springer Nature Customer Service Center GmbH

Email: ProductSafety@springernature.com

Weitere E-Books von Ronghai Qu

Flux Modulation Machine

€160,49

This book is the first English book to present the theory of flux modulation and name the flux modulation machine family. It explains the phenomenon of flux modulation in electrical machines based on the well-known “modulation” in power electronics; clarifies the difference and connection between different flux modulation machines through the topological evolution, comparatively analyzes their commonality and individuality characteristics under the same theoretical framework; and finally proposes the R&D ideas and development frontiers of high-performance machine topologies. The flux modulation theory is the main feature of this book, which is the expansion of the classical machine theory, providing readers in the field of electrical machines with a new vision and more design options.

Zum Buch