电力系统保护与控制Issue(22)：103-110,8.
基于改进不完全S变换与决策树的实时电能质量扰动分类
A real time power quality disturbance classification based on improved incomplete S-transform and decision tree
摘要
Abstract
This paper proposes a real time power quality classification based on improved incomplete S-transform and decision tree, which mainly focuses on classification accuracy and computing time. In order to reduce the restriction of Heisenberg’s uncertainty, different signal components are windowed by different Gauss windows according to the signal components frequency in the spectral, which reduces the response time and enhance the tolerance of noises. The feature extraction is implemented by using dynamics to the result of the improved incomplete S-transform. Finally, an optimal decision tree is constructed to classify the power quality disturbances through five distinctive features. A hardware based on DSP-FPGA is used to test the proposed method. Both simulations and experiments verify the practicability of the method.关键词
电能质量/扰动分类/改进不完全S变换/动态测度/决策树/实时系统Key words
power quality/disturbance classification/improved incomplete S-transform/dynamics/decision tree/real time system分类
信息技术与安全科学引用本文复制引用
郭俊文,李开成,何顺帆,张明..基于改进不完全S变换与决策树的实时电能质量扰动分类[J].电力系统保护与控制,2013,(22):103-110,8.基金项目
国家自然科学基金资助项目 （）
