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文章摘要
基于线性神经网络的谐波检测技术研究
Study on Harmonic Detection Method based on a Linear Neural Network
Received:March 01, 2014  Revised:March 01, 2014
DOI:
中文关键词: 谐波  谐波检测  神经网络  LMS算法  
英文关键词: The  harmonics, harmonic  detection, neural  network,LMS  algorithm
基金项目:
Author NameAffiliationE-mail
XING Xiao-min Institute of electrical engineering of Northeast Dianli University,Jilin City,Jilin Province,132012 Teacherxing@163.com 
SHANG Guo-jing* Institute of electrical engineering of Northeast Dianli University,Jilin City,Jilin Province,132012 137100559@qq.com 
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中文摘要:
      文章通过比较谐波检测的相关技术的优缺点后提出了基于线性神经网络的谐波检测技术,构造了谐波检测的网络构架,并介绍了谐波检测的原理。着重的对应用LMS算法调整网络的权值给予分析。最后构造含有奇次谐波的负载电流函数,利用MATLAB软件分别运用加汉宁窗的FFT算法和本文构造的线性神经网络方法进行仿真实验,针对在无噪和有噪的环境下的实验结果表明,基于线性神经网络方法的谐波检测技术具有更好的检测精度。
英文摘要:
      The advantages and disadvantages of the technology of harmonic detection was put forward after the harmonic detection technology based on a linear neural network, the network structure of harmonic detection, and introduces the principle of harmonic detection. Focus on the application of LMS algorithm to adjust the network weights analysis. Finally constructs containing the odd harmonics of the load current, linear neural networks method using Hanning window using the MATLAB software of FFT algorithm and the simulation experiment is carried out, in the noise free and noisy environment. The experimental results show that the detection accuracy, harmonic detection method of linear neural network has better based on.
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