An Improved Adaptive Neural Network Detecting Approach to Harmonic Currents with Changeable Learning Parameters

Jun Xu

doi:10.4028/www.scientific.net/AMR.433-440.6546

Paper Titles

Performance Comparison between Orthogonal, Bi-Orthogonal and Semi- Orthogonal Wavelets
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Credit Scoring Using Support Vector Machine: A Comparative Analysis
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A Low Complexity Switched Method for Enhancement of Spatial Resolution of Images
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A Computationally Efficient Switching Based Lossless Compression Algorithm for Natural Images
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An Improved Adaptive Neural Network Detecting Approach to Harmonic Currents with Changeable Learning Parameters
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A Finite Element Analysis of the Normal Combination Round and Spline Broach Based on ANASYS
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Studying on the Propagation Behavior of Bent Crack Bending from Slant Pre-Crack with Compressive Residual Stress
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Detection for Rective Current Based on the Instantaneous Reactive Power Theory
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Ensemble Data Classification based on Diversity of Classifiers Optimized by Genetic Algorithm
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440An Improved Adaptive Neural Network Detecting...

An Improved Adaptive Neural Network Detecting Approach to Harmonic Currents with Changeable Learning Parameters

Abstract:

Using the adaptive noise canceling technology, this paper proposes a new detecting approach to harmonics and reactive currents based on neural networks with changeable learning parameters. The structure of this neural network and the adaptive weights adjusting algorithm are presented. The contradiction of the detecting speed and the precision has been settled preferably. The proposed detecting approach can be used for detecting the harmonics and the reactive currents of active power filters. The results of the theoretical analysis and computer simulation confirm the validity of the approach.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

6546-6550

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.6546

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Online since:

January 2012

Authors:

Jun Xu

Keywords:

Active Power Filter (APF), Adaptive Filter, Component, Harmonic Detecting, Neural Network (NN)

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