基于小波变换的边缘检测及其在绝缘瓷瓶故障诊断中的应用  

WAVELET TRANSFORM BASED EDGE DETECTION AND ITS APPLICATION IN PORCELAIN BOTTLES FAULT MONITORING

作　　者：王慧燕[1] 诸静[1] 

机构地区：[1]浙江大学电气工程学院,浙江省杭州市310027

出　　处：《电力系统自动化》2004年第15期76-79,共4页Automation of Electric Power Systems

基　　金：浙江省科技计划资助项目(011101066)。

摘　　要：电力系统中绝缘瓷瓶的实时监测是保证系统安全运行的重要环节。文中从瓷瓶裂纹检测的实际情况出发,分析了在边缘检测中小波的选取问题,并根据分析结果选用二阶样条双正交小波来提取瓷瓶图像的多尺度边缘特征,提出一种通过动态处理瓷瓶图像实现的瓷瓶裂纹实时检测方案,并将其应用于无人值守变电站图像监控系统。仿真结果和实际应用均表明了该方法的可行性和有效性。It is very important to monitor the porcelain bottles of main transformers dynamically to guarantee the secure operation of power systems. This paper investigates the problem about how to select the wavelet base function in details. As a resull, the second-order spline biorthogonal wavelet is applied to detect the edge of porcelain bottle image. Furthermore, a real-time monitoring scheme by comparing the dynamic edges with the standard ones is presented and has been applied to the image monitoring system of some unwatched substations. Simulations and practical applications show that the method proposed is feasible and effective.

关 键 词：边缘检测 小波变换 故障诊断 绝缘瓷瓶 

分 类 号：TM764[电气工程—电力系统及自动化]