DSP Wavelet-Based Tool for Monitoring Transformer Inrush Currents and Internal Faults
DSP Wavelet-Based Tool for Monitoring Transformer Inrush Currents and Internal Faults
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DOI：
10.1109/tpwrd.2010.2046653
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发表时间：
2010-06
影响因子：
4.4
通讯作者：
A. Gaouda;Magdy M. A. Salama
中科院分区：
文献类型：
--
作者：
A. Gaouda;Magdy M. A. Salama
本文提出了一种基于小波变换的非平稳变化监测技术，以区分Transformer励磁涌流和Transformer内部故障。所提出的技术利用了一个小的局部最大值的系数，代表了大部分的信号的能量：只有一个系数在每个分辨率水平被用来测量信号的变化的幅度。数据处理，而滑动通过凯泽窗口和技术已应用于实验室以及模拟数据，产生良好的效果。
This paper proposes a wavelet-based technique for monitoring nonstationary variations in order to distinguish between transformer inrush currents and transformer internal faults. The proposed technique utilizes a small set of coefficients of the local maxima that represent most of the signal's energy: only one coefficient at each resolution level is utilized to measure the magnitude of the variation in the signal. The data is processed while sliding through a Kaiser window and the technique has been applied in the laboratory as well as with simulated data, producing excellent results.