DocumentCode
3258318
Title
Artificial neural network model for analysis of power system harmonics
Author
Keerthipala, W.W.L. ; Chong, Low Tah ; Leong, Tham Chong
Author_Institution
Nanyang Technol. Univ., Singapore
Volume
2
fYear
1995
fDate
Nov/Dec 1995
Firstpage
905
Abstract
Harmonic distortion analysis, which is necessary in order to improve the quality of power distributed, is traditionally achieved using fast Fourier transform (FFT) algorithm. FFT procedure is however susceptible to the presence of noise and subharmonics in the distorted signal. Further limitations arise due to the use of Radix-2 based FFT in harmonic analysis of power frequency (50 Hz or 60 Hz) signals. This paper presents a novel technique, based on neural networks, for analysis of power system harmonics
Keywords
fast Fourier transforms; harmonic analysis; harmonic distortion; neural nets; power system harmonics; 50 Hz; 60 Hz; FFT; Radix-2; artificial neural network; fast Fourier transform; harmonic distortion analysis; noise; power system harmonics analysis; subharmonics; Algorithm design and analysis; Artificial neural networks; Fast Fourier transforms; Frequency; Harmonic analysis; Harmonic distortion; Neural networks; Power system analysis computing; Power system harmonics; Power system modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.487539
Filename
487539
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