| 基于小波神经网络的单相三电平逆变器谐波检测 |
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| 引用本文： | 马辉,王玉华,刘朋朋,贾文超. 基于小波神经网络的单相三电平逆变器谐波检测[J]. 节能技术, 2012, 30(6): 516-520 |
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| 作者姓名： | 马辉 王玉华 刘朋朋 贾文超 |
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| 作者单位： | 1. 长春工业大学,吉林长春,130012
2. 台州学院,浙江台州,318000 |
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| 摘 要： | 本文采用小波神经网络（Wavelet Neural Network,WNN）算法对时变谐波信号进行检测。利用Harr小波对谐波信号的幅值和相角进行逼近;将小波对信号的自适应时频分割特性引入神经网络,提高神经网络的逼近和收敛速度;给出网络参数的选定方案;确定网络的训练算法。在MATLAB/SIMULINK环境下对该算法进行仿真,与传统的小波算法比较,该算法不仅可行,而且精确度得到提高。
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| 关 键 词： | 小波神经网络 时变谐波检测 Harr小波变换 |
Wavelet Neural Network for Single Phase Three Level Inverter Harmonic Detection |
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| MA Hui , WANG Yu-hua , LIU Peng-Peng , JIA Wen-chao. Wavelet Neural Network for Single Phase Three Level Inverter Harmonic Detection[J]. Energy Conservation Technology, 2012, 30(6): 516-520 |
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| Authors: | MA Hui WANG Yu-hua LIU Peng-Peng JIA Wen-chao |
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| Affiliation: | 1.Changchun University of Technology,Changchun 130000,China; 2.Taizhou University,Zhejiang 318000,China) |
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| Abstract: | The time-varying harmonic signal was detected by wavelet neural network algorithm.Using Harr wavelet approximation time-varying amplitude and phase angle,Wavelet on the signal adaptive time-frequency characteristics of neural network is introduced to improve segmentation,neural network approximation and convergence performance;By giving the network parameters of the selected scheme,and determining the network training algorithm,the feasibility and accuracy in the MATLAB/SIMULINK environment simulation are proved. |
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| Keywords: | wavelet neural network harmonic detection harr wavelet transform |
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