New flickermeter sensitive to high‐frequency interharmonics and robust to fundamental frequency deviations of the power system
Author:
Affiliation:
1. Department of Electrical and Electronics Engineering, Faculty of EngineeringGazi UniversityMaltepeAnkaraTurkey
2. Department of Electrical and Electronics Engineering, Faculty of Engineering and ArchitectureBozok UniversityYozgatTurkey
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smt.2018.5338
Reference32 articles.
1. Electromagnetic compatibility (EMC) Part 4–15:‘Testing and measurement techniques flickermeter functional and design specifications’. IEC 61000‐4‐15 ed 2011
2. Flicker source detection methods based on IEC 61000‐4‐15 and signal processing techniques – a review;Silsupur M.;Balk. J. Electr. Comput. Eng.,2015
3. An alternative strategy to improve the flicker severity measurement
4. Flicker measurement in real scenarios: Reducing the divergence from the human perception
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Optimization of Convolutional Neural Networks for Classifying Power Quality Disturbances Using Wavelet Synchrosqueezed Transform;Traitement du Signal;2024-04-30
2. A comprehensive research of machine learning algorithms for power quality disturbances classifier based on time-series window;Electrical Engineering;2024-01-12
3. Modeling Method of Multiplexed Sampling Electrical Parameter Characteristics Based on AIOT Sensing Module;Applied Mathematics and Nonlinear Sciences;2023-11-25
4. A New Comparative Approach Based on Features of Subcomponents and Machine Learning Algorithms to Detect and Classify Power Quality Disturbances;Electric Power Components and Systems;2023-09-28
5. IEC Flickermeter Measurement Results for Distorted Modulating Signal while Supplied with Distorted Voltage;2022 20th International Conference on Harmonics & Quality of Power (ICHQP);2022-05-29
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3