Volume is indexed by Thomson Reuters CPCI-S (WoS).
The collection includes selected, peer reviewed papers from the 2013 International Conference on Insulating Materials, Material Application and Electrical Engineering (MAEE2013), March 16-17, 2013, Changsha.
The papers are grouped as follows:
Chapter 1: Research on Material Engineering, Technologies and Applied Mechanics;
Chapter 2: Electrical Power System, Electronics and Electrical Engineering.

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Info:

eBook:

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ToC:

Table of contents

Editors:

Helen Zhang, David Jin and X.J. Zhao

DOI:

https://doi.org/10.4028/b-Rmar5T

THEMA:

PHV, TGM

BISAC:

TEC021000

Keywords:

Active Power Filter (APF), Asynchronous Draw Motor, Control Strategy, Double-Loop Control Strategy, Drilling Fluid, Electrical Power System, Fault Diagnosis, Finite Element, GIC, Kinematic, Numerical Simulation, Photocatalytic Degradation, Pretreatment, Scanning Rate, Serial Communication, Sidewise Buckling, Stability, Theory of Multi-Body System, Titanium Alloy, Vibration

Details:

Selected, peer reviewed papers from the 2013 International Conference on Insulating Materials, Material Application and Electrical Engineering (MAEE 2013), March 16-17, 2013, Changsha

Pages:

350

Year:

2013

ISBN-13 (softcover):

9783037856703

ISBN-13 (CD):

9783037954379

ISBN-13 (eBook):

9783038260516

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Review from Ringgold Inc., ProtoView: The 68 papers cover research on material engineering, technologies, and applied mechanics; electrical power systems, electronics, and electrical engineering; and a few miscellaneous topics. Specific topics include applying a circular magnetic grid sensor in automatic viscometer for measuring the viscosity of liquid material based on fluid mechanics, the methane hydrate meta-stable property of gas hydrates applied to natural gas storage and transportation, new theories and methods for analyzing low-frequency oscillation under a smart grid framework, a grid-connected photovoltaic system with energy storage based on a direct-current bus, and modeling a permanent magnet synchronous motor system in electrical automation engineering based on adaptive neuro-fuzzy inference system.