摘要
针对S变换计算量大的问题,提出了一种基于单基频S变换的电压凹陷分类方法。首先通过单基频S变换得到单基频S变换模向量;然后,从该向量提取凹陷信号幅值突变点个数、凹陷幅值和凹陷幅值标准差等特征量;最后,将这些特征量输入决策树对电压凹陷信号进行分类。仿真结果验证了该方法对电压凹陷分类的有效性。
In view of the large computational quantity involved in the S-transform, a new classification of voltage sags, which is based on single fundamental frequency S-transform, has been proposed for its improvement. First, the acquisition of module vector is achieved through S-transform of single fundamental frequency, followed by the extraction of such characteristic parameters as mutation point numbers, sag magnitude and sag amplitude standard deviation from this vector. Finally, a classification is made of voltage sag signals based on the characteristic parameters input in the decision tree. Simulation results show that the proposed method is effective for the classification of voltage sags.
出处
《湖南工业大学学报》
2016年第4期21-26,共6页
Journal of Hunan University of Technology
基金
国家自然科学基金资助项目(61503131)
湖南省教育厅科学研究基金资助项目(14C0327)
关键词
单基频S变换
电压凹陷
幅值突变点
凹陷幅值
凹陷幅值标准差
single fundamental frequency S-transform
voltage sag
amplitude change point
sag amplitude
sag amplitude standard deviation
