【摘要】 真空开关电弧的形态特征是电弧特性的外在反映,与真空开关的分断能力直接相关。为了研究真空开关电弧燃弧过程及其形态特征,建立了真空电弧图像实验采集系统,通过高速CCD相机采集真空电弧燃烧过程图像。为了获得电弧形态的细节特征,基于小波变换及形态学细化算法对真空电弧图像进行了形态细节特征提取研究。主要通过电弧图像的分解与重构、多尺度边缘检测及多尺度-细化算法实现电弧图像的形态特征检测。对多尺度-细化算法实验结果与经典算子和多尺度边缘检测算法的检测结果进行了对比分析。结果表明,采用多尺度-细化边缘检测算法可得到更完整、更清晰的细节特征,为研究真空电弧的调控理论提供了技术基础。更多还原

【Abstract】 The morphological characteristics of the vacuum switching arc( VSA) is the reflection of the arc characteristics,which is directly related to the breaking capacity of the vacuum switch. In order to examine the burning procedure and the morphology characteristics of VSA,an image acquisition system is established and the combusting images are recorded through the high speed CCD camera. An algorithm based on wavelet transform and morphology edge thinning is used to extract the morphology characteristics of VSA images,mainly including 2D decomposition and reconstruction,multi-scale edge detection and edge thinning. The experimental results by the new method arecompared with those detected by the classical operators and the multi-scale method. The result indicates that the multi-scale edge thinning algorithm based on wavelet transformcan can obtain more complete,more detailed features,which provides the technical foundation for the research of VSA.更多还原