|本期目录/Table of Contents|

[1]赵景波,唐勇伟,张磊. 基于改进小波变换的故障电弧检测方法的研究[J].电机与控制学报,2016,20(02):90-97.[doi:10. 15938 / j. emc. 2016. 02. 013]
 ZHAO Jing-bo,TANG Yong-wei,ZHANG Lei. Improved wavelet transform algorithm of anti spectrum aliasing based on adding odd extraction before a node [J].,2016,20(02):90-97.[doi:10. 15938 / j. emc. 2016. 02. 013]
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 基于改进小波变换的故障电弧检测方法的研究(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
20
期数:
2016年02
页码:
90-97
栏目:
出版日期:
2016-02-01

文章信息/Info

Title:
 Improved wavelet transform algorithm of anti spectrum aliasing based on adding odd extraction before a node

作者:
 赵景波 唐勇伟 张磊
 ( 青岛理工大学 自动化工程学院,山东 青岛 266520)
Author(s):
 ZHAO Jing-bo TANG Yong-wei ZHANG Lei
 ( School of Automation Engineering,Qingdao University of Science and Technology,Qingdao 266520,China)
关键词:
故障电弧 添加节点前奇抽取 频谱混叠 改进小波变换 串联检测
Keywords:
 fault arc add odd extraction before a node spectrum aliasing improved wavelet transform detection series
分类号:
TM 561. 5
DOI:
10. 15938 / j. emc. 2016. 02. 013
文献标志码:
A
摘要:
 为了有效避免因故障电弧而引发的电气火灾,对故障电弧的故障检测进行了深入研究。故障电弧检测最常用的方法是小波变换,但是它存在着频谱混叠的问题。针对这一问题,提出一种基 于添加节点前奇抽取的抗频谱混叠的改进小波变换算法,并利用多种负载进行验证,从而优化故障 电弧检测,最后得到了准确度高、计算简单、实用性好的串联故障电弧检测方法。根据 UL1699 搭建了故障电弧实验平台,并基于此平台进行电弧发生实验。根据实验仿真结果的验证,改进小波变 换解决了小波变换的频谱混叠问题,提高了故障电弧检测的精度,有效地减少故障误报率。
Abstract:
 In order to effectively avoid electrical fire caused by fault arc,the fault detection on fault arc was deeply studied. The wavelet transform is the most common method used for arc fault detection,but it has the problem of spectrum aliasing. To solve this problem,an improved wavelet transform algorithm of anti spectrum aliasing was presented based on adding odd extraction before a node. And a variety of load for verification optimizes the arc fault detection. Finally,an arc fault detection method in series was ob-tained,which has high accurate,simple calculation and good practice. A fault arc experimental platform was built according to UL1699,and based on this platform carries out arcing experiments. According to the results of the experimental simulation,the improved wavelet transform solves the problem of spectrum aliasing,the accuracy of fault arc detection was improved and effectively the fault rate of false positives was reduced.

参考文献/References:

相似文献/References:

[1]张丽萍,缪希仁,石敦义.基于EMD 和ELM 的低压电弧故障识别方法的研究[J].电机与控制学报,2016,20(09):54.[doi:10. 15938 / j. emc. 2016. 09. 008]
 ZHANG Li-ping,MIAO Xi-ren,SHI Dun-yi.Research on low voltage arc fault recognition method based on EMD and ELM[J].,2016,20(02):54.[doi:10. 15938 / j. emc. 2016. 09. 008]
[2]李奎,陈照,张洋子,等. 基于聚类分析和电磁辐射信号的电弧故障识别[J].电机与控制学报,2018,22(05):94.[doi:10.15938/j.emc.2018.05.012]
 LI Kui,CHEN Zhao,ZHANG Yang-zi,et al. Arc fault detection based on cluster analysis andelectromagnetic radiation[J].,2018,22(02):94.[doi:10.15938/j.emc.2018.05.012]

备注/Memo

备注/Memo:
收稿日期: 2015 - 03 - 16
基金项目: 国家自然科学基金( 51475251) ; 山东省自然科学基金( ZR2013FM014) ; 山东省高等学校科技计划项目( J12LN37)
作者简介: 赵景波( 1971—) ,男,博士,副教授,硕士生导师,研究方向为信号处理和控制理论;
唐勇伟( 1991—) ,男,硕士研究生,研究方向为控制理论;
张 磊( 1990—) ,男,硕士研究生,研究方向为控制理论。
更新日期/Last Update: 2016-03-21