姚建刚;关石磊;陆佳政;蒋正龙;赵纯;夏德分;钱艳萍;

• 1:湖南大学电气与信息工程学院
• 2:湖南省电力公司试验研究院
• 3:湖南湖大华龙电气与信息技术有限公司

摘要(Abstract)：

提出利用绝缘子串相对温度分布特征和人工神经网络模型相结合的方法识别不同污秽等级、不同湿度条件下的零值绝缘子。试验获取模拟110 kV线路悬式绝缘子的红外运行图像,经图像去噪、分割等预处理后,提取绝缘子串区域相对温度分布特征参数作为识别零值绝缘子的温度信息特征量,并结合环境相对湿度、等值附盐密度作为识别模型的输入向量,将实际测定绝缘子串是否含零值的状态分类信息作为输出向量,通过训练得到优化的识别模型,并用于零值绝缘子识别。试验结果验证该方法准确性高,可为输电线路瓷绝缘设备的故障检修提供参考和方法借鉴。

关键词(KeyWords)： 红外热像;相对温度分布特征;图像去噪;图像分割;人工神经网络;零值绝缘子识别;高电压与绝缘技术

Abstract:

Keywords:

基金项目(Foundation): 国家重点产业振兴和技术改造项目(国发改投资[2010]2272);; 湖南省电力公司科技项目[湘电科2009]~~

作者(Author): 姚建刚;关石磊;陆佳政;蒋正龙;赵纯;夏德分;钱艳萍;

Email:

DOI: 10.13335/j.1000-3673.pst.2012.02.033

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