TRANSFORMER FAULT DETECTION USING DWT-DCT
TRANSFORMER FAULT DETECTION USING DWT-DCT
复制标题
使用 DWT-DCT 进行变压器故障检测
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Rinku Kumar
中科院分区：
文献类型：
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作者：
Rajni Gupta;Rinku Kumar
小波变换可以与傅立叶变换一起应用于信号分析。该变换给出了时域或频域中的信号特性。但他们没有给出两者的结合。小波变换将信号能量在时频域进行分解。本文提出了一种新的方法来识别和区分励磁涌流和故障信号。由于励磁涌流和故障电流的能量在时域和频域的分布有很大的不同，因此通过这种分析，可以简单地将这两种电流分开。结果表明，DCT-DWT将差分电流分解为小尺度小波.这是由DWT中的滤波器完成的。各种小波滤波器已被尝试为所有类型的故障。结果表明，db 6小波对故障检测效果最好。
Wavelet transform can be applied with the Fourier transform to analyse a signal. This transform gives the signal characteristics in time or in frequency domain. But they donât give the combination of both. Wavelet Transform splits the signal energy in time-frequency domain. In this paper, In this a new approach was presented in order to recognize and distinguish fault signal from inrush current. With this kind of analysis, these two currents can be separated simply since the distribution of energy in time and frequency domain for inrush and fault currents is very different. The results shows that DCT –DWT splits differential current into small wavelets. This is done by filters in DWT. Various wavelet filters has been tried for all types of faults. It has been concluded that db6 wavelet shows best result for fault detection.