The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering

Volume I
Herausgegeben:Ma, Weiming; Rong, Mingzhe; Yang, Fei; Liu, Wenfeng; Wang, Shuhong; Li, gengfeng

• Gebundenes Buch

Produktbeschreibung

This book includes the original, peer-reviewed research papers from the 9th Frontier Academic Forum of Electrical Engineering (FAFEE 2020), held in Xi'an, China, in August 2020. It gathers the latest research, innovations, and applications in the fields of Electrical Engineering. The topics it covers including electrical materials and equipment, electrical energy storage and device, power electronics and drives, new energy electric power system equipment, IntelliSense and intelligent equipment, biological electromagnetism and its applications, and insulation and discharge computation for power equipment.

Given its scope, the book benefits all researchers, engineers, and graduate students who want to learn about cutting-edge advances in Electrical Engineering.

Produktdetails

• Lecture Notes in Electrical Engineering 742
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-33-6605-3
• 1st ed. 2021
• Seitenzahl: 888
• Erscheinungstermin: 22. April 2021
• Englisch
• Abmessung: 241mm x 160mm x 53mm
• Gewicht: 1478g
• ISBN-13: 9789813366053
• ISBN-10: 9813366052
• Artikelnr.: 60734993

Inhaltsangabe

Design of dynamic wireless charging system for inspection robot.- A Novel PLL For Auxiliary Supply System in Railway Vehicles.- Line-frequency Instability of Single-Stage PFC Flyback Converter.- Optimal Scheduling of Integrated Microgrids with High Resolution Islanding.- Observation of Positive Streamer Branches in a Long Air Gap.- Experimental Study on the Relationship Between Ablation of Circuit Breaker Electrical Life and Dynamic Resistance.- Research on Multi-target Tracking and Positioning Method in Substation Scene.- Three-dimensional Electric Field Simulation Analysis of Typical Defects in Medium Voltage XLPE Cable Joint.- Adaptive Over-Frequency Response Control for Wind Farm to Participate the System Frequency Regulation.- A Big Data Technology-Based Approach to Power Neural Network Analysis.- Analysis for Research Achievements and Progress Trends of Underwater Electric-Field Coupled Wireless Power Transfer.