广东电力Issue(8)：50-55,108,7.DOI:10.3969/j.issn.1007-290X.2014.08.012
基于S变换和希尔伯特-黄变换的电能质量复合扰动分类识别
Classification Recognition for Power Energy Quality Composite Disturbance Based on S Transform and Hilbert-Huang Transform
周克林1
作者信息
- 1. 广州粤能电力科技开发有限公司，广东 广州510080
- 折叠
摘要
Abstract
According to time-frequency analysis characteristic of S transform and Hilbert-Huang transform a kind of classifi-cation recognition method for power energy quality composite disturbance was proposed. By means of S transform,charac-teristics of fundamental frequency and high frequency of disturbance signals were extracted and instantaneous amplitude of signals before and after disturbance was extracted by combining with Hilbert-Huang transform. By analyzing characteristics of various disturbance signals,relevant characteristic function was defined as criteria for classification recognition to realize correct classification on power energy quality composite disturbance and accurate positioning for start and end time of transi-ent disturbance. Experiment result indicated that by means of fusion of S transform and HHT,it was able to accurately de-tect affiliated classifications and disturbance characteristics of power energy quality disturbance signals and start and end time.关键词
电能质量/复合扰动/特征函数/分类识别/希尔伯特-黄变换/S变换Key words
power energy quality/composite disturbance/characteristic function/classification recognition/Hilbert-Huang transform/S transform分类
信息技术与安全科学引用本文复制引用
周克林..基于S变换和希尔伯特-黄变换的电能质量复合扰动分类识别[J].广东电力,2014,(8):50-55,108,7.
