基于S_Kohonen网络的GIS局部放电类型识别

律方成; 张波

律方成,张波.基于S_Kohonen网络的GIS局部放电类型识别[J].电测与仪表,2014,51(20):.
LV Fang-cheng,ZHANG Bo.Recognition of GIS Discharge Types Based on S_Kohonen Network[J].Electrical Measurement & Instrumentation,2014,51(20):.

基于S_Kohonen网络的GIS局部放电类型识别

Recognition of GIS Discharge Types Based on S_Kohonen Network

DOI：

中文关键词: GIS 超声波传感器 S_Kohonen网络放电类型识别

英文关键词:GIS, ultrasonic sensor, S_Kohonen network, recognition of discharge types

基金项目:国家高技术研究发展计划项目（863计划) (2011AA05A121)；中央高校基本科研业务费专项资金资助项目（13ZD14）

作者中文名	作者英文名	单位
律方成	LV Fang-cheng	华北电力大学河北省输变电设备安全防御重点实验室
张波	ZHANG Bo	华北电力大学河北省输变电设备安全防御重点实验室

摘要点击次数: 2422

中文摘要:

本文在气体绝缘组合电器(gas insulated switchgear, GIS)实体模型中分别放置了针-板、悬浮金属颗粒和绝缘子表面固定金属颗粒缺陷模型,在相同的电压下用超声波传感器测得其放电波形。针对放电波形的特征,提取了7个特征参数,用7个特征参数组成的特征量作为S_Kohonen网络的输入对放电类型进行识别,识别结果很好,说明S_Kohonen网络有一定的实用价值。

英文摘要:

In this paper, needle-plate, suspended metal particles and metal particles fixing on insulator surface models were put in gas insulated switchgear(GIS) entity model. Discharge waveforms were detected by ultrasonic sensor at the same voltage. According to the characteristics of discharge waveform, 7 characteristic parameters were extracted as the inputs of the S_Kohonen network to identify discharge types. The recognition result is good. This indicates that S_Kohonen network has some practical values.

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