摘要
模式识别中,特征是决定相似性与分类的关键。对于局部放电模式识别,如何找到合适的局部放电特征量成为认知与识别的核心问题。在参阅大量国内外现有的局部放电模式识别文献基础上,依据局部放电产生机理,设计了电极模型。通过对放电信号进行统计特征提取,为电力系统运行中的故障预测和诊断提供重要依据。
In pattern recognition, key of comparability and classification are decided by character. To partial discharge pattern recognition, the central problem of cognition and recognition is how to find appropriate character of partial discharge. In this paper, based on consulting lots of home and literature abroad and according to partial discharge mechanism of production, discharge model is designed. By extracting statistical character of partial discharge signals offers most important gist for the malfunction forecast and diagnosis of operation in electric power system.
出处
《信息技术》
2008年第10期113-114,117,共3页
Information Technology
关键词
局部放电
模式识别
特征提取
partial discharge
pattern recognition
extracting character
作者简介
荆文忠（1968-），男，工程师，研究方向为高电压技术。
