超声检测进行气体绝缘组合电器典型绝缘缺陷识别

介绍了基于超声检测的气体绝缘组合电器(gas insulated switchgear,GIS)典型绝缘缺陷识别技术.该技术由基于幅值模式(amplitude mode,AM)、飞行模式(flying mode,FM)、基于相位模式(phase mode,PM)的特征参数提取与判别3个主要模块组成.其中,针对AM提取的...

Integrated Classification Technique for Typical Insulation Flaws in Gas Insulated Switchgear Based on Acoustic Detection

An integrated classification technique for typical insulation flaws in gas insulated switchgear(GIS) using acoustic detection is presented.This technique includes parameters extraction and classification based on the amplitude mode(AM),flying mode(FM),and phase mode(PM),respectively.The frequency components of 50 Hz and 100 Hz correlated to power cycle,the max/min ratio of root mean square value(RMSV) sequence,and the max/min ratio of periodic peak value(PPV) sequence are extracted from the AM to distinguish the detected acoustic signals of flaws from background noise.The equivalent flying time-width and flying distance are extracted from the FM to identify the detected acoustic signals of free metallic particles,and the statistic fingerprints are deduced from the PM to identify partial discharge mode(corona,inner discharge,or floating discharge)of flaws in GIS.Test results demonstrate that the present technique can be applied to GIS acoustic detection system for typical insulation flaws identification.