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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/35901

    Title: 設計與實現結合小波與模糊理論之電力品質分析晶片
    Other Titles: Design and implementation of the power quality analysis IC based on wavelet transform and fuzzy theory
    Authors: 樊俊暉;Fan, Chun-hui
    Contributors: 淡江大學電機工程學系碩士班
    蕭瑛東;Hsiao, Ying-tung
    Keywords: 電力品質;小波轉換;模糊理論;可程式化系統晶片;Power Quality;Wavelet Transform;Fuzzy;SoPC
    Date: 2005
    Issue Date: 2010-01-11 07:18:00 (UTC+8)
    Abstract: 本論文提出一套結合小波轉換與模糊理論的電力品質分析及辨識系統,用以改善傳統電力品質分析與評估方法的缺失。
    The traditional analytic method for the power quality disturbances is the Fourier transform, but the Fourier analysis does not consider frequency that might involve time. The advantage of the wavelet analysis is the use of a time-frequency multi-resolution property that allows the analysis of signals and systems with a very wide range of time constants. The wavelet analysis decomposes the signal into a smoothed and detail version by the low and high pass filter, respectively. Hence, the wavelet transform can be utilized to analyze the power quality disturbances both in frequency domain and time domain. The wavelet transform generates a lot of data. So, it is need to analyze and identify these data by an effective analytic method. By the way, because of the features of the power quality data with imprecision, uncertainty and vagueness, it is not easy to utilize the traditional method to analyze and identify these data. This work proposes the method combined with the wavelet transform and fuzzy modeling to analysis and identify the power quality problem. Moreover this work implements the proposed method in a chip based on the configuration of the system on a programmable chip (SOPC). Testing results demonstrated the practicality and advantages of the proposed method for application.
    Appears in Collections:[電機工程學系暨研究所] 學位論文

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