高压电器2017，Vol.53Issue(7)：30-37,44,9.DOI:10.13296/j.1001-1609.hva.2017.07.006
基于时频分布图像纹理特征的局部放电特高频信号的特征参数提取方法
Feature Parameters Extraction Method of Partial Discharge UHF Signal Based on Textural Features in Time-frequency Representation Image
摘要
Abstract
In order to solve reduction of pattern recognition accuracy when partial discharge ultra-high frequency (UHF) signal is distorted,a novel feature parameters extraction method based on textural features in time-frequency (TF) representation image is proposed.Firstly,the TF representation image of partial discharge UHF signal can be obtained by the s-transform.Secondly,the textural features of TF image can be extracted by the gray-level cooccurrence matrix (GLCM) method.Through the principal component analysis (PCA) method,the eigenvector consisted by textural features can be dimensionality reduced.The feature parameters and eigenvector of partial discharge UHF signal can be obtained and inputted into the support vector machine (SVM) classifier for pattern recognition.The test and recognition results show that the proposed feature parameters can be used to recognize 4 types of typical partial discharge UHF signal in transformer,and the highest recognition accuracy reached 97.50％.关键词
局部放电/UHF信号/时频分布/纹理特征/特征参数/模式识别Key words
partial discharge/UHF signal/time-frequency representation/textural features/feature parameters/pattern recognition引用本文复制引用
田妍,刘宇舜,熊俊,李鹏飞,周文俊,钟少泉..基于时频分布图像纹理特征的局部放电特高频信号的特征参数提取方法[J].高压电器,2017,53(7):30-37,44,9.基金项目
广州供电局有限公司科技项目(GZHKJ00000008).Project Supported by Science and Technology Project of Guangzhou Power Supply Bureau Co.,Ltd.(GZHKJ00000008). （GZHKJ00000008）
