Using Cross-Correlation Coefficients to Analyze Transformer Sweep Frequency Response Analysis (SFRA) Traces
Using Cross-Correlation Coefficients to Analyze Transformer Sweep Frequency Response Analysis (SFRA) Traces
复制标题
使用互相关系数分析变压器扫频响应分析 (SFRA) 迹线
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
J. Lapworth
中科院分区：
文献类型：
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作者：
G. M. Kennedy;A. McGrail;J. Lapworth
扫频响应分析 (SFRA) 是评估变压器绕组机械损坏的最强大的诊断工具之一。然而，对频率响应轨迹形式的结果进行分析可能会让新用户望而生畏。一种方法是尝试自动分析，本文提出了一种使用互相关系数的方法。这是一种功率信号处理工具，可以在某些情况下简化结果解释并允许创建限制。
Sweep frequency response analysis (SFRA) is one of the most powerful diagnostic tools for assessing mechanical damage to a transformer winding. Analysis of the results, which are in the form of frequency response traces can, however, be daunting to new users. One approach is to attempt automated analysis, and this paper presents an approach using cross- correlation coefficients. This is a power signal processing tool that can simplify result interpretation in some cases and allow limits to be created.