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基于Wigner-Hough变换的栓接电缆接头松动故障检测

陈艳君,王智勇,郭凤仪,王贺,郑志强,刘艳丽   

  1. (辽宁工程技术大学 电气与控制工程学院,辽宁 葫芦岛 125105)
  • 收稿日期:2015-07-08 出版日期:2016-08-15 发布日期:2016-08-15
  • 作者简介:陈艳君(1988-),女,硕士研究生,主研方向为智能检测与控制、电气设备故障诊断技术;王智勇,讲师;郭凤仪,教授、博士;王贺、郑志强,硕士研究生;刘艳丽,讲师。
  • 基金资助:
    国家自然科学基金资助项目“弓网系统滑动电接触电磁噪声形成机理与抑制方法研究”(51277090);辽宁工程技术大学市场调研基金资助项目“矿用电缆接头过热劣化过程研究”(SCDY2013020);辽宁工程技术大学生产技术问题基金资助项目“串联型故障电弧演化规律及典型特征研究”(14-T-004)。

Looseness Fault Detection of Bolted Cable Joint Based on Wigner-Hough Transform

CHEN Yanjun,WANG Zhiyong,GUO Fengyi,WANG He,ZHENG Zhiqiang,LIU Yanli   

  1. (Faculty of Electrical and Control Engineering,Liaoning Technical University,Huludao,Liaoning 125105,China)
  • Received:2015-07-08 Online:2016-08-15 Published:2016-08-15

摘要: 检测供配电线路栓接电缆接头松动故障对于预防电气火灾具有重要意义。为此,提出一种基于Wigner-Hough变换(WHT)的松动故障检测方法。利用Wigner-Ville分布对接触电流进行变换,使其具有时频联合特征。通过Hough变换提取时频分布中的特征信息,并求取变换峰值及峰值变化率区间长度。根据不同实验条件下WHT峰值存在明显差异的特点识别松动故障,同时利用峰值变化率区间长度表征松动程度。实验结果表明,该方法能够有效检测配电线路电缆接头松动故障。

关键词: 松动故障, Wigner-Ville分布, 时频分布, Hough变换, Wigner-Hough变换, 峰值变化率

Abstract: It’s of great significance to detect the looseness fault of the bolted cable joint in power supply and distribution system for the prevention of electrical fire.Therefore,a looseness fault detection method based on Wigner-Hough Transform(WHT) is proposed.The pick-up current is transformed by Wigner-Ville Distribution(WVD) to obtain its time-frequency characteristics.The feature information is extracted by Hough transform and both the peak value and the interval length of peak value change rate are calculated.There are significant differences among those WHT peak values under different experimental conditions,so the WHT value can be used to identify the looseness fault,and the interval length of peak value change rate can be used to reveal the looseness degree.Experimental results show that this method can detect the looseness fault of bolted cable joint effectively.

Key words: looseness fault, Wigner-Ville Distribution(WVD), time-frequency distribution, Hough transform, Wigner-Hough Transform(WHT), peak value change rate

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