基于模糊数学模型的随机脉冲信号去除研究  

Research on random pulse signal removal based on fuzzy mathematical model

作　　者：杨积凤[1] 王敬国[2] 

机构地区：[1]黑龙江农业工程职业学院人文学院,黑龙江哈尔滨150088 [2]哈尔滨师范大学数学科学学院,黑龙江哈尔滨150088

出　　处：《实验技术与管理》2017年第7期55-58,共4页Experimental Technology and Management

基　　金：国家自然科学基金项目(11271064)

摘　　要：针对特高频局部放电测量中的随机脉冲信号设计了模糊聚类统计排除的方法,利用信号归类得出随机干扰极有可能就是变压器箱体外部高压导体上的尖刺放电干扰串入进检测系统的干扰信号。实际工程应用表明:设计的模糊聚类能够很好地应用于实地检测,在对电力电缆接头局部放电在线检测的过程中,不仅可以对接头内部局部放电信号实现有效的测量,同时还可以对接头外部的随机干扰进行抑制或剔除。A method of fuzzy clustering and statistical exclusion is designed for random pulse signals in ultrahigh frequency partial discharge measurement.By using the signal classification,it can be concluded that the random interference is the interference signal of spike discharge on the high-voltage conductor outside the transformer box into the detection system.The practical application performance shows that the designed fuzzy clustering can be used well in the field test.In the process of on-line partial discharge detection of power cable joints,it can not only realize the effective measurement of joint internal partial discharge signals,but also suppress or eliminate the random interference on the external joints.

关 键 词：特高频 局部放电 随机脉冲信号 模糊聚类 

分 类 号：TN911.7[电子电信—通信与信息系统]