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First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)
Neuro-Fuzzy and Digital FIR Filter Approach for Power System Measurement Denoising
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
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Jiekang Wu, Ying Liang, Guotong Chen, "Neuro-Fuzzy and Digital FIR Filter Approach for Power System Measurement Denoising," Innovative Computing ,Information and Control, International Conference on, vol. 1, pp. 607-610, First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICICIC.2006.121,
author = {Jiekang Wu and Ying Liang and Guotong Chen},
title = {Neuro-Fuzzy and Digital FIR Filter Approach for Power System Measurement Denoising},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {1},
year = {2006},
isbn = {0-7695-2616-0},
pages = {607-610},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.121},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - Neuro-Fuzzy and Digital FIR Filter Approach for Power System Measurement Denoising
SN - 0-7695-2616-0
SP607
EP610
A1 - Jiekang Wu,
A1 - Ying Liang,
A1 - Guotong Chen,
PY - 2006
KW - null
VL - 1
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Jiekang Wu, Guangxi University, China
Ying Liang, Guangxi University, China
Guotong Chen, Guangxi Electric Net Company, China
A Neuro-fuzzy and digital FIR filtering approach for denoising in power system measurement and control is presented in this paper. The signal is denoised via two processes. First, the signal is denoised based on fuzzy neural network filtering algorithms, and then the signal is once again denoised using digital FIR filtering methods. The simulation tests carried out in Matlab show much better results of denoising using Fuzzy-Neuro and digital FIR filtering approach than using one of them only. The proposed method also shows vely good advantages for both static signals and transient signals.
Citation:
Jiekang Wu, Ying Liang, Guotong Chen, "Neuro-Fuzzy and Digital FIR Filter Approach for Power System Measurement Denoising," icicic, vol. 1, pp.607-610, First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 2006
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