基于小波和矩的边缘特征提取及其在故障监测中的应用

EDGE DETECTION METHOD BASED ON WAVELET AND MOMENT AND ITS APPLICATION IN FAULT MONITORING

  • 摘要: 电力系统中绝缘瓷瓶的实时监控是保证系统运行安全的重要环节.本文利用小波和矩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电力系统实时监控方案.仿真结果和实际应用均表明该方法的可行性和有效性.

     

    Abstract: To assure the power system running steadily, it is very important to dynamically monitor the porcelain bottles of the main transformer. Based on the edge features of porcelain bottle image, which is captured through wavelet and moment, we present a real-time monitoring scheme for the power system by comparing the dynamic edges with standard ones. Simulation results show that the method presented is feasible and effective.

     

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