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Implementation AC Series Arc Fault Recognition using Mikrokontroller Based on Fast Fourier Transform

机译:基于快速傅里叶变换的Mikrokontroller实现AC系列电弧故障识别

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Series arc fault is one of the problems of electrical power quality which is very serious and can cause occupational safety accident, this paper proposes an experimental introduction of series arc fault using a microcontroller. Affordable price microcontrollers are used to process fast fourier transform (FFT) from the time domain to the frequency domain to determine the characteristics of the series arc fault interference. Experimental was designed by performing several different variations of experiments ranging from current variations of 1A, 1.5A, 2A, 2.5A, 3A, 3.5A, 4A with 220 V in resistive loads to analyze interference patterns. As well as variations in wavelength taken with a fixed power starting from 1 period to 8 to validate the frequency accuracy of interference and time efficiency when using a microcontroller. The experimental results show us that resistive loads occur with variations in currents and wavelength variations cause current harmonics at odd frequencies of multiples (3,5,7,9,11,13,15,17) will significantly and efficiently increase the process when data collection is only 1 period.
机译:系列电弧故障是电能质量的问题之一,非常严重,可引起职业安全事故,提出使用微控制器进行系列电弧故障的实验性引入。经济实惠的价格微控制器用于从时域流到频域的快速傅里叶变换(FFT),以确定串联电弧故障干扰的特性。通过在电阻载荷中执行从1A,1.5A,2A,2.5A,3A,3.5A,4A的电流变化的几种不同的实验变化来设计实验性设计,以分析干涉图案。除了从1个周期到8开始的固定电源拍摄的波长的变化以及在使用微控制器时验证干扰和时间效率的频率精度。实验结果表明,电流的变化发生电阻负载,波长变化导致倍数频率的电流谐波(3,5,7,9,11,15,17)将显着,有效地增加数据时的过程集合只有1个时期。

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