电力系统保护与控制Issue(10)：57-61,5.
接触电阻时间序列的混沌特性识别与预测研究
Research on chaotic characteristics identification and prediction of contact resistance time series
摘要
Abstract
Contact resistance is an important index for characterization of contact performance. The chaotic characteristics of contact resistance time series for the detected contacts are identified and predicted. The minimum embedding dimension of contact resistance time series is determined by Cao method. It proves that the contact resistance time series has the chaos characteristics by drawing phase diagram method and calculating largest Lyapunov exponent from qualitative and quantitative view respectively. The chaos prediction and the reliable scope for partial data of contact resistance time series are presented based on the Largest Lyapunov exponent. The result indicates that the prediction accuracy is higher and steadier within the predictable range than beyond of it.关键词
接触电阻/时间序列/Cao氏法/最大Lyapunov指数/混沌特性/预测Key words
contact resistance/time series/Cao method/largest Lyapunov exponent/chaos characteristics/prediction分类
信息技术与安全科学引用本文复制引用
马东娟,李玲玲..接触电阻时间序列的混沌特性识别与预测研究[J].电力系统保护与控制,2015,(10):57-61,5.基金项目
国家自然科学基金(51377044，51475136)；天津市高等学校科技发展基金计划项目(20130422)；河北省自然科学基金(E2014202230) （51377044，51475136）
