高压电器2018，Vol.54Issue(3)：37-44,8.DOI:10.13296/j.1001-1609.hva.2018.03.006
基于暂态地电压的开关柜局放特征提取及类型识别方法研究
Research on Partial Discharge Feature Extraction and Type Identification Method of Switchgear Based on Transient Earth Voltage
李宾宾 1张健 2柯艳国 2田宇 2杨为 1朱胜龙1
作者信息
- 1. 国网安徽省电力有限公司电力科学研究院,合肥230022
- 2. 国网安徽省电力有限公司,合肥230022
- 折叠
摘要
Abstract
As a characterization of the phenomenon of high voltage equipment insulation status,discriminate for the type of partial discharge has the vital significance for switchgear insulation condition assessment.The different partial discharge types have some common characteristics,at the same time there are individual differences.The more comprehensive descriptions describe the characteristics of partial discharge,the higher the accuracy of the determination.This paper studies the different types of partial discharge in time domain,frequency domain and statistical mapping difference,put forwards the characteristic parameters,which are able to more fully describe the types of partial discharge.Considering the dimension of feature,proposes a fault type identification method for BP neural network and SVM based on RST.The studies result that compared with BP neural network,the SVM method has stronger ability of identification and greatly less time on the design period of classifier and the training.Through the combination of SVM and RST,the method can not only improve the identification ability of the standard partial discharge type,also identify more untypical partial discharge signals by joining the new case study.关键词
开关柜/暂态地电压(TEV)/局放类型/局放特征/智能识别/支持向量机(SVM)Key words
switchgear/transient earth voltage (TEV)/partial discharge type/characteristics of partial discharge/intelligent identification/support vector machine(SVM)引用本文复制引用
李宾宾,张健,柯艳国,田宇,杨为,朱胜龙..基于暂态地电压的开关柜局放特征提取及类型识别方法研究[J].高压电器,2018,54(3):37-44,8.
