Adaptive Neural Network Based Harmonic Detection for Active Power Filter
Summary :
A novel signal processing technique using adaptive neural network algorithm is applied for the on-line detection of harmonic current components generated by nonlinear current loads in the single-phase diode bridge rectifier and it can efficiently determine the harmonic current components in real time. The validity of this active filtering processing system to compensate current harmonics is proved on the basis of simulation results.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E86-B No.5 pp.1721-1725
- Publication Date
- 2003/05/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Energy in Electronics Communications
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Md. RUKONUZZAMAN, Mutsuo NAKAOKA, "Adaptive Neural Network Based Harmonic Detection for Active Power Filter" in IEICE TRANSACTIONS on Communications,
vol. E86-B, no. 5, pp. 1721-1725, May 2003, doi: .
Abstract: A novel signal processing technique using adaptive neural network algorithm is applied for the on-line detection of harmonic current components generated by nonlinear current loads in the single-phase diode bridge rectifier and it can efficiently determine the harmonic current components in real time. The validity of this active filtering processing system to compensate current harmonics is proved on the basis of simulation results.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e86-b_5_1721/_p
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@ARTICLE{e86-b_5_1721,
author={Md. RUKONUZZAMAN, Mutsuo NAKAOKA, },
journal={IEICE TRANSACTIONS on Communications},
title={Adaptive Neural Network Based Harmonic Detection for Active Power Filter},
year={2003},
volume={E86-B},
number={5},
pages={1721-1725},
abstract={A novel signal processing technique using adaptive neural network algorithm is applied for the on-line detection of harmonic current components generated by nonlinear current loads in the single-phase diode bridge rectifier and it can efficiently determine the harmonic current components in real time. The validity of this active filtering processing system to compensate current harmonics is proved on the basis of simulation results.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - Adaptive Neural Network Based Harmonic Detection for Active Power Filter
T2 - IEICE TRANSACTIONS on Communications
SP - 1721
EP - 1725
AU - Md. RUKONUZZAMAN
AU - Mutsuo NAKAOKA
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2003
AB - A novel signal processing technique using adaptive neural network algorithm is applied for the on-line detection of harmonic current components generated by nonlinear current loads in the single-phase diode bridge rectifier and it can efficiently determine the harmonic current components in real time. The validity of this active filtering processing system to compensate current harmonics is proved on the basis of simulation results.
ER -
English
