电测与仪表2017，Vol.54Issue(8)：47-51,5.
基于VPMCD的变压器局部放电模式识别
Pattern recognition of power transformer partial discharge signals based on VPMCD
张蒙 1朱永利 1贾亚飞 1张宁 1张媛媛1
作者信息
- 1. 新能源电力系统国家重点实验室(华北电力大学), 河北 保定071003
- 折叠
摘要
Abstract
Partial discharge pattern recognition is very important for state evaluation of transformer.In this paper, 18 types of statistical characteristics are extracted from PD signals which are collected from four kinds of typical partial discharge models in laboratory, and partial discharge patterns are recognized by variable predictive model based class discriminate method (VPMCD).Comparative analysis results demonstrate that VPMCD algorithm gains more recognition rate and better computational efficiency than BP neural network.关键词
变量预测模型/变压器/局部放电/模式识别Key words
variable predictive model/transformer/partial discharge/pattern recognition分类
信息技术与安全科学引用本文复制引用
张蒙,朱永利,贾亚飞,张宁,张媛媛..基于VPMCD的变压器局部放电模式识别[J].电测与仪表,2017,54(8):47-51,5.
