Neuro-Fuzzy and Digital FIR Filter Approach for Power System Measurement Denoising

Author

Jiekang, Wu ; Ying, Lian ; Guotong, Chen

Author_Institution

Dept. of Electr. Eng., Guangxi Univ., Nanning

Volume

1

fYear

2006

fDate

Aug. 30 2006-Sept. 1 2006

Firstpage

607

Lastpage

610

Abstract

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 very good advantages for both static signals and transient signals

Keywords

FIR filters; fuzzy neural nets; power system control; power system measurement; power system simulation; power system transients; signal denoising; Matlab; digital FIR filter; neuro-fuzzy filter; power system control; power system measurement denoising; static signal; transient signal; Control systems; Digital filters; Filtering algorithms; Finite impulse response filter; Fuzzy control; Fuzzy neural networks; Noise reduction; Power system measurements; Power system simulation; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2616-0

Type

conf

DOI

10.1109/ICICIC.2006.121

Filename

1691873