[1]淮文军 王明芳 汪梅[].基于小波分析的电缆故障特征提取方法研究[J].计算机技术与发展,2007,(11):209-211.
　HUAI Wen-jun,WANG Ming-fang,WANG Mei.Cable Fault Feature Extraction Method Research Based on Wavelet Analysis[J].,2007,(11):209-211.
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基于小波分析的电缆故障特征提取方法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年11期
页码:
209-211
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Cable Fault Feature Extraction Method Research Based on Wavelet Analysis
文章编号:
1673-629X（2007）11-0209-03
作者:
淮文军1 王明芳2 汪梅[3]
[1]苏州市职业大学[2]中南林业科技大学[3]西安科技大学
Author(s):
HUAI Wen-jun;  WANG Ming-fang ; WANG Mei
[1]Suzhou Vocational University[2]Central South University of Forestry and Technology[3]Xi＇an University of Science and Technology
关键词:
小波分析; 奇异性; 低频交流电压叠加法; 电缆故障
Keywords:
wavelet analysis;  singularity;  low frequency alternating voltage superimpose law; cable fault
分类号:
TP274.2
文献标志码:
A
摘要:
针对电缆状态检测过程中暂态信号靠传统检测方法难于处理的问题，提出运用小波工具箱函数，根据电缆故障暂态电压的奇异性及包含的故障状态信息，来确定故障信号产生奇变点的位置。通过低频交流电压叠加试验，应用小波函数分析绝缘树枝劣化中产生的电压信号。试验结果表明，此方法能准确确定故障信号出现的最早时刻，判定电缆绝缘的劣化程度。和传统方法相比：利用了小波的带通滤波性质，减少了信号损失，简化了检测系统硬件电路。此方法实现容易，信号分析效果好
Abstract:
Aiming at the transient signal in the electric cable state examination, which is difficult to handle, proposed the utilization the wavelet toolbox function analytic approach of voltage signal singularity,determined the breakdown signal produces changes a wonderful position. Through the low frequency alternating voltage superimposition experiment, the voltage signal which in the application wavelet function analysis insulation branch deterioration produces. Test result indicated： Using the wavelet band pass filter nature, simplified the examination system hardware electric circuit ,and reduced the signal loss. It is easy for this method to realize, the results were very effectual

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备注/Memo

备注/Memo:
陕西省科技厅科技攻关基金（2003K06G19）淮文军（1979-），男，陕西人，助教，研究方向为电力电缆故障测距方法；汪梅，博士，教授，从事智能控制研究
更新日期/Last Update: 1900-01-01