• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Chen, Li-An (Chen, Li-An.) [1] | Zhang, Peiming (Zhang, Peiming.) [2]

Indexed by:

EI Scopus

Abstract:

A novel type of integrated filtering algorithm named morphology-wavelet filter which is applied in short circuit fault detection In low-voltage systems is presented in this paper. The proposed morphology-wavelet filter combines the quadratic B-spline wavelet transform and the generalized morphological filter with multiple structuring elements, so it has the excellent capability in removing various kinds of interference, protecting the properties of short circuit fault, and decreasing the computational complexity. The distinguished feature of this kind of algorithm makes its successful application in the short circuit fault detection in low-voltage distributed systems. The short circuit fault detection equipment based on high-performance DSP is also presented in this paper and the real-time implementation of the proposed algorithm has been realized on this equipment. © 2005 IEEE.

Keyword:

Algorithms Computational complexity Electric fault location Electric potential Short circuit currents Signal interference Wavelet transforms

Community:

  • [ 1 ] [Chen, Li-An]Department of Electronic Engineering, Xiamen University of Technology, 361005, China
  • [ 2 ] [Zhang, Peiming]Department of Electrical Engineering and Automation, Fuzhou University, 350002

Reprint 's Address:

Show more details

Version:

Related Keywords:

Related Article:

Source :

Year: 2005

Volume: 2005

Page: 1-5

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

Online/Total:664/9664170
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1