| A Precise Algorithm for Non-Integer Harmonics Analysis Based on FFT and Neural Network |
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| 作者姓名： | WANGGong-bao MAWei-ming XIANGDong-yang ZHANGwen-bo |
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| 作者单位： | [1]CollegeofArtsandScience,NavalUniversityofEngineering,Wuhan430033,Hubei,China [2]InstituteofPowerElectronicTechnique,NavalUniversityofEngineering,Wuhan430033,Hubei,China [3]CollegeofArtsandScience,NavalUniversityofEngineering,Wuhan430033,Hubei,China |
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| 基金项目： | SupportedbytheTeachingandResearchAwardPro gramforOutstandingYoungTeachersinHigherEducationInstitutionsofChina (2 0 0 1 1 82 )andtheScienceFoundationofNavalUniversityofEn
gineering(HGDJJ0 30 0 1 ) |
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| 摘 要： | By means of an artificial neural network (ANN) model, higher measurement accuracy of integer harmonics can be obtained. Combining the windowed fast Fourier transform (FFT) algorithm with the improved ANN model, we present a new precise algorhhm for non-integer harmonics analysis. According to the result obtained from the Hanningwindowed FFT algorithm, we choose the initial values of orders of harmonics for the neural network. Through such processing, the time of iterations is shortened and the convergence rate of neural network is raised thereby. The simulation results showthat close non integer harmonics can be separated from a signal with higher accuracy and better real-time by using the algorithm presented in the paper.
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| 关 键 词： | 人工神经网络 汉宁窗体 谐波分析 快速傅立叶变换 非整数谐波 |
| 收稿时间： | 10 March 2004 |
A precise algorithm for non-integer harmonics analysis based on FFT and neural network |
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| WANGGong-bao MAWei-ming XIANGDong-yang ZHANGwen-bo.A Precise Algorithm for Non-Integer Harmonics Analysis Based on FFT and Neural Network[J].Wuhan University Journal of Natural Sciences,2004,9(4):454-458. |
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| Authors: | Wang Gong-bao Ma Wei-ming Xiang Dong-yang Zhang Wen-bo |
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| Institution: | (1) College of Arts and Science, Naval University of Engineering, 430033 Wuhan, Hubei, China;(2) Institute of Power Electronic Technique, Naval University of Engineering, 430033 Wuhan, Hubei, China |
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| Abstract: | By means of an artificial neural network (ANN) model, higher measurement accuracy of integer harmonics can be obtained. Combining the windowed fast Fourier transform (FFT) algorithm with the improved ANN model, we present a new precise algorithm for non\|integer harmonics analysis. According to the result obtained from the Hanning\|windowed FFT algorithm, we choose the initial values of orders of harmonics for the neural network. Through such processing, the time of iterations is shortened and the convergence rate of neural network is raised thereby. The simulation results show that close non\|integer harmonics can be separated from a signal with higher accuracy and better real\|time by using the algorithm presented in the paper. |
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| Keywords: | fast Fourier transform (FFT) artificial neural network (ANN) Hanning-window harmonics analysis |
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