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The Research of Method of Malignant Load Identification based on Wavelet Analysis

机译:基于小波分析的恶性载荷识别方法研究

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In recent years, the illegal use of apartment power has caused major disasters, it is of great significance to study the correct identification of illegal electricity and control technology in real time. In this paper, a technology that using wavelet analysis to analyze waveforms of various loads is proposing, through analytical processing with Matlab, the malignant power load and general load can be distinguished, which can get difference between various capacitive, inductive, and resistive load's waveforms. It is of great importance to campus apartment for automatic recognition of malignant load, and then to prevent campus fires.
机译:近年来,非法使用公寓权力导致了重大灾害,实时研究非法电力和控制技术的正确识别是具有重要意义。在本文中,通过使用MATLAB的分析处理来利用小波分析来分析各种负载波形的技术,可以区分恶性电力负载和一般载荷,这可以在各种电容,电感和电阻负载波形之间产生差异。校园公寓为自动识别恶性负荷而且是非常重要的,然后防止校园火灾。

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