• HOME
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • Chinese
Site search        
文章摘要
基于形态学的暂态电能质量扰动检测
Detection of Transient Power Quality disturbance based on Morphology
Received:July 07, 2014  Revised:July 07, 2014
DOI:
中文关键词: 暂态电能质量  数学形态学  LMS  滤波
英文关键词: transient  power quality, mathematic  morphology, LMS, filter
基金项目:辽宁省教育厅科学技术研究项目(L2012229)
Author NameAffiliationE-mail
XING Feng-hua Liaoning University of Technology yangyang3350@126.com 
ZHANG Yan* Liaoning University of Technology 19581181@qq.com 
Ma Yi Liaoning University of Technology  
Liang Guining Weihai Architectural Design Institute Co. Ltd.  
Hits: 2232
Download times: 710
中文摘要:
      针对扰动检测过程中存在的脉冲噪声和白噪声影响暂态电能质量信息准确提取的问题,本文设计了有效的滤波算法以在保留信号的有效成分的基础上最大限度地滤除噪声,该算法是基于LMS的多结构复合形态滤波算法。本文使用电压暂降、电压暂升、电压中断、等对所提方法进行了仿真实验。仿真结果表明, 基于LMS的多结构复合滤波算法得到的信噪比是多结构自适应复合滤波算法的1.01倍左右,是小波变换的1.1倍左右,即该算法能有效地滤除暂态电能质量扰动分析中的随机噪声和脉冲噪声;而且,该算法可较好地保持扰动信号的形状和特征。
英文摘要:
      aiming to the problem that pulse noise and white noise have an influence on accurate extraction of transient power quality signal, a effective filter algorithm is proposed to filter out noise to great extend on the basis of keeping effective components of signal. This algorithm is based on multiple structure elements composite filtering of morphology LMS. This paper utilizes voltage sag、voltage surge and voltage interrupt and so on to carry out simulation experience. The simulation results show that the SNR which the algorithm based on multiple structure elements composite filtering of morphology LMS gains is about 1.10 times than that of multiple structure elements self-adaptive and composite algorithm and about 1.1 times than that of wavelet transform. In other words, this algorithm not only effectively filters out noise of transient power quality signals, but it can remain characters and shape of disturbances.
View Full Text   View/Add Comment  Download reader
Close
  • Home
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • 中文页面
Address: No.2000, Chuangxin Road, Songbei District, Harbin, China    Zip code: 150028
E-mail: dcyb@vip.163.com    Telephone: 0451-86611021
© 2012 Electrical Measurement & Instrumentation
黑ICP备11006624号-1
Support:Beijing Qinyun Technology Development Co., Ltd