| Summary: | 碩士 === 淡江大學 === 電機工程學系碩士班 === 93 === 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.
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