声成像技术在GIS机械故障诊断的应用研究  

Application of Acoustic Imaging Technology to Mechanical Fault Diagnosis of GIS

作　　者：付瑜 赵晋飞 李继胜[1] 朱梓倩 刘蓉[1] 杨怡晴 FU Yu;ZHAO Jinfei;LI Jisheng;ZHU Ziqian;LIU Rong;YANG Yiqing(School of Physic&Information Technology,Shaanxi Normal University,Xi’an 710119,China;State Key Laboratory of Electrical Insulation and Power Equipment,Xi’an Jiaotong University,Xi’an 710049,China;Xinghua College,Chang’an University,Xi’an 710000,China)

机构地区：[1]陕西师范大学物理与信息技术学院,西安710119 [2]西安交通大学电力设备电气绝缘国家重点实验室,西安710049 [3]长安大学兴华学院,西安710000

出　　处：《高压电器》2019年第11期239-247,共9页High Voltage Apparatus

基　　金：陕西省自然科学基金(2015GY130,2018GY016);中央高校基金(GK201603023)~~

摘　　要：机械故障是引起GIS故障的原因之一,因此对其机械状态进行故障诊断有助于提高供电的可靠性。文中利用开发的声成像试验装置,对不同机械缺陷下的GIS声成像特性进行试验研究,得到了地脚螺栓松动、绝缘盆螺栓松动、隔离开关接触不良时的声成像图。再利用灰度共生矩阵的方法,提出基于声成像云图特征值(角二阶矩能量、对比度、熵、相关性、逆差距)的GIS机械故障诊断方案。研究结果表明,对于母线筒处的故障,可以利用相关性的标准差、对比度的均值和对比度的标准差区别绝缘盆螺栓松动和地脚螺栓松动;对于在隔离开关处的故障,利用对比度的标准差和对比度的均值可以诊断是否出现了隔离开关接触不良。The acoustic imaging characteristics of GIS with different mechanical defects were studied experimentally by using the self-developed acoustic imaging device. Adopting the method of gray level co-occurrence matrix,a mechanical fault diagnosis scheme for GIS based on the characteristic values of acoustic imaging cloud map(including angular second moment,contrast,entropy,correlation,and inverse different moment)is proposed. The results show that the standard deviation of correlation,the mean value of contrast,and the standard deviation of contrast can be used to distinguish the looseness of insulator bolts from the looseness of foundation bolts. For the fault at the position of isolation switch,the standard deviation of contrast and the mean value of contrast can be used to diagnose poor contact of the isolating switch.

关 键 词：GIS 机械故障 声像图 灰度共生矩阵 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]