燕山大学学报2017，Vol.41Issue(2)：149-155,7.DOI:10.3969/j.issn.1007-791X.2017.02.008
基于相空间重构和Lyapunov指数电弧电压混沌特性分析
Chaotic characteristic analysis of arc voltage based on phase space reconstruction and Lyapunov exponent
摘要
Abstract
Series arc fault is the key cause of electrical fire.In order to obtain reliable data sources and a more comprehensive understanding of the characteristics of arc fault voltage,the experimental platform of actual electricity environment arc fault is set up according to the UL1699 and GB14287.4 standards.Depending on the experimental results,the arc voltage signal is introduced into the high dimensional space by using the phase space reconstruction algorithm,and the two-dimensional phase diagram of different load is made.Otherwise,the maximum Lyapunov exponent of series arc voltage signal is calculated by using the small-data method.Based on the comprehensive analysis of the phase trajectory distribution rules and the maximum Lyapunov exponent,the chaotic characteristic of fault arc voltage was proved.The research results not only enrich the characteristics of the arc voltage signal,but also provide theoretical guidance for design of arc model and electric fire monitoring detector.关键词
电弧电压/混沌特性/相空间重构/最大Lyapunov指数/小数据量法Key words
arc voltage/chaotic characteristic/phase space reconstruction/maximum Lyapunov exponent/small-data method分类
信息技术与安全科学引用本文复制引用
管红立,王博文,赵智忠..基于相空间重构和Lyapunov指数电弧电压混沌特性分析[J].燕山大学学报,2017,41(2):149-155,7.基金项目
国家自然科学基金资助项目(51171057) （51171057）
河北省高等学校创新团队领军人才培育计划(LJRC003) （LJRC003）
