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- Volume 14, Issue 8, 2021
Recent Advances in Electrical & Electronic Engineering - Volume 14, Issue 8, 2021
Volume 14, Issue 8, 2021
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Multi-criteria Decision Making: A Systematic Review
More LessMulti Criteria Decision Making (MCDM) helps decision makers (DMs) solve highly complex problems. Accordingly, MCDM has been widely used by DMs from various fields as an effective and reliable tool for solving various problems, such as in site and supplier selection, ranking and assessment. This work presents an in-depth survey of past and recent MCDM techniques cited in the literature. These techniques are m Read More
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Research on Position Recognition and Control Method of Single-leg Joint of Hydraulic Quadruped Robot
Authors: Bingwei Gao, Hao Guan, Wenming Tang, Wenlong Han and Shilong XueIn order to obtain the precise mathematical model of the position control system of the hydraulic quadruped robot, and to meet the requirements of the system parameters in different stages of motion, this paper studies the position control system of the single-leg joint of the hydraulic quadruped robot: First of all, this paper uses the closed-loop indirect identification method to identify the position of the leg joints of the Read More
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Small Targets Detection for Transmission Tower Based on SRGAN and Faster RCNN
Authors: Runze Liu, Guangwei Yan, Hui He, Yubin An, Ting Wang and Xile HuangBackground: Power line inspection is essential to ensure the safe and stable operation of the power system. Object detection for tower equipment can significantly improve inspection efficiency. However, due to the low resolution of small targets and limited features, the detection accuracy of small targets is not easy to improve. Objective: This study aimed to improve the tiny targets’ resolution while making the small target's t Read More
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Real-time 3D Object Detection Using Improved Convolutional Neural Network Based on Image-driven Point Cloud
Authors: Zhiyong Gao and Jianhong XiangBackground: While detecting the object directly from the 3D point cloud, the natural 3D patterns and invariance of 3D data are often obscure. Objective: In this work, we aimed at studying the 3D object detection from discrete, disordered and sparse 3D point clouds. Methods: The CNN comprises the frustum sequence module, 3D instance segmentation module SNET, 3D point cloud transformation module T-NET, and 3D Read More
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Classification and Location of Transformer Winding Deformations using Genetic Algorithm and Support Vector Machine
Authors: Zhenhua Li, Junjie Cheng and A. Abu-SiadaBackground: Winding deformation is one of the most common faults an operating power transformer experiences over its operational life. Thus, it is essential to detect and rectify such faults at early stages to avoid potential catastrophic consequences to the transformer. At present, methods published in the literature for transformer winding fault diagnosis are mainly focused on identifying fault type and quantifying its extent Read More
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The Coordinated Fault Current Limiting Strategy for a Hybrid Multilevel Modular Converter (MMC) based VSC-HVDC Applications
Authors: Muhammad Ahmad, Chunyang Gong, Yixin Chen, Zhixin Wang and Hui LiBackground: High-voltage direct current (HVDC) is suitable for high capacity and longdistance power transmission, thus becoming ideal for connecting renewable energies such as solar power and wind power to grids. Objective: Overhead lines in HVDC are vulnerable to short-circuit faults. Non-permanent DC short circuit faults are the most common in HVDC transmission, which can lead to pause in power transmissio Read More
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