State Inspection for Transmission Lines Based on Independent Component Analysis

被引：0

作者：

任丽佳 ^{[1
,2
]}

江秀臣 ^{[1
]}

盛戈嗥 ^{[1
]}

杨巍巍 ^{[3
]}

机构：

[1] Department of Electrical Engineering,Shanghai Jiaotong University

[2] Urban Power Supply Company,Shanghai Municipal Electric Power Company 3. Northeast China Grid

来源：

JournalofShanghaiJiaotongUniversity(Science) | 2009年 / 14卷 / 02期

关键词：

state inspection; transmission lines; independent component analysis(ICA); negentropy; adaptive threshold; empirical mode decomposition(EMD);

D O I：

暂无

中图分类号：

TM726 [输配电线路];

学科分类号：

080802 ;

摘要：

Monitoring transmission towers is of great importance to prevent severe thefts on them and ensure the reliability and safety of the power grid operation.Independent component analysis(ICA) is a method for finding underlying factors or components from multivariate statistical data based on dimension reduction methods,and it is applicable to extract the non-stationary signals.FastICA based on negentropy is presented to effectively extract and separate the vibration signals caused by human activity in this paper.A new method combined empirical mode decomposition(EMD) technique with the adaptive threshold method is applied to extract the vibration pulses,and suppress the interference signals.The practical tests demonstrate that the method proposed in the paper is effective in separating and extracting the vibration signals.

引用

页码：129 / 132

页数：4