Application of fractals to PD signal recognition

Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316) Pub Date : 2002-04-07 DOI:10.1109/ELINSL.2002.995988

Zhongyuan Zhao, Y. Qiu, E. Kuffel

引用次数: 8

Abstract

A fractal random model namely the fractional Brownian motion (FBM) is established to describe a single PD pulse. The fractal dimension ruler variable (FDRV) and fractal dimension (FD), as two features derived through the least-square fitting, are introduced to extract characteristics from the single PD pulse. Analysis of experimental results indicates that the fractal dimension ruler variable has a higher sensitivity compared with fractal dimension, and therefore can he used as an important practical feature to recognize PD signals.

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分形在PD信号识别中的应用

建立了一个分形随机模型，即分数布朗运动(FBM)来描述单个PD脉冲。引入分形维数标尺变量(FDRV)和分形维数(FD)这两个通过最小二乘拟合得到的特征来提取单个PD脉冲的特征。实验结果分析表明，分形维数标尺变量比分形维数具有更高的灵敏度，可以作为PD信号识别的重要实用特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)

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