高压电器2013，Vol.49Issue(8)：50-55,6.
基于自适应仿射传播聚类的GIS局放缺陷分类研究
Pattern Recognition of Partial Discharge in GIS Based on the Adaptive Affinity Propagation Clustering Algorithm
摘要
Abstract
An adaptive affinity propagation clustering (adAP) algorithm is proposed for pattern recognition of UHF signals from four insulation defects induced partial discharges in GIS.The adAP algorithm searches the number of clusters for finding the optimal clustering solution by adaptive scanning of parameters space,and adaptively adjusts damping factors to eliminate oscillations and adaptively escape from oscillations when the damping adjustment technique fails,thus overcomes two corresponding limitations of the conventional affinity propagation clustering (AP) algorithm.In addition,the clustering results of the proposed adAP algorithm is verified by several clustering validity indexes,indicating its accuracy in the number of clusters and in the classification of different types of defects,and showing better performances in processing time and cycle number than the conventional AP algorithm.关键词
GIS/局部放电/自适应仿射传播聚类/自适应扫描/自适应逃离/聚类有效性分析Key words
GIS/ partial discharge/ adaptive affinity propagation clustering/ adaptive scanning/ adaptive escaping/ clustering validity analysis分类
信息技术与安全科学引用本文复制引用
郑文栋,王辉,钱勇,黄成军,江秀臣..基于自适应仿射传播聚类的GIS局放缺陷分类研究[J].高压电器,2013,49(8):50-55,6.基金项目
国家高技术研究发展计划(863计划)资助项目(SS2012AA050803). （863计划）
Project Supported by the National High Technology Research and Development Program of China (863 Program SS2012AA050803). （863 Program SS2012AA050803）
