电能质量扰动的广义S变换分析和决策树算法分类

针对电能质量扰动的检测和分类问题,提出了一种新的基于广义S变换和决策树的电能质量扰动分类方法.首先提出基于FFT的自适应调整调节因子取值的方法,再利用广义S变换对常见的几种电能质量扰动信号进行时频分析,并提取特征形成判决规则,最后生成用于对电能质量扰动进行分类的决策树分类算法.仿真实验结果表明,该算法能够实现电能质量扰动的自动分类,且分类正确率很高.

Power Quality Disturbances Classification Based on Generalized S-transform and Decision Tree

In order to solve the detection and classification of power quality(PQ)disturbances,a new approach combining generalized S-transform(GST) and decision tree was proposed.First,an adaptive method based on Fast Fourier Transform(FFT) for adjusting the parameter was designed,some disturbances were decomposed through GST timefrequency analysis,then feature components were extracted and decision rules were found,finally the decision tree approach for disturbances classification was presented.The results show that...