电网技术2011，Vol.35Issue(3)：135-139,5.
采用分形和支持向量机的气体绝缘组合电器局部放电类型识别
Identification of Partial Discharge in Gas Insulated Switchgears With Fractal Theory and Support Vector Machine
弓艳朋 1刘有为 1吴立远1
作者信息
- 1. 中国电力科学研究院,北京市,海淀区,100192
- 折叠
摘要
Abstract
The internal insulation defects in gas-insulated switchgear (GIS) can be reflected by partial discharge, so it is significant to recognize the type of partial discharge (PD) in GIS correctly. The extraction of discharge signal features and the design of the identifier greatly influence the final judgment result, thus it is necessary to apply fractal theory and support vector machine (SVM) in PD type identification to improve identification effect.The discharge data caused by four insulation defects is collected and by use of fractal theory the discharge characteristics are extracted from φ-q-n grayscale, and six binary SVM identifiers are constructed, then the PD type is identified by voting method.Experimental results show that using the proposed method the PD type within GIS can be correctly recognized and the proposed method is stable and possesses higher recognition rate than back propagation network method.关键词
气体绝缘组合电器/局部放电/故障识别/分形特征/支持向量机Key words
gas insulated switchgear(GIS)/ partial discharge (PD)/ fault identification/ fractal feature/ support vector machine(SVM)分类
信息技术与安全科学引用本文复制引用
弓艳朋,刘有为,吴立远..采用分形和支持向量机的气体绝缘组合电器局部放电类型识别[J].电网技术,2011,35(3):135-139,5.
