基于热成像技术的支柱瓷绝缘子实时故障诊断研究

Research on real-time fault diagnosis of strut insulator based on thermal imaging technology

针对人工进行支柱瓷绝缘子故障检测危险系数高的问题,本文提出一种基于热成像技术的支柱瓷绝缘子实时故障诊断方法。该方法以支柱瓷绝缘子红外图像二值化分割作为特征提取,引入灰度中值滤波进行预处理操作,构建高斯核支持向量机分类架构,最终实现支柱瓷绝缘子的故障诊断。结果表明:该诊断方法不仅能很好地完成支柱瓷绝缘子的故障监测工作,还提高了检测效率与准确率。

Aiming at the high risk factor of manual fault detection of strut insulators,this paper proposes a real-time fault diagnosis of strut insulators based on thermal imaging technology.The binarized segmentation of the infrared image of the strut insulator was taken as the feature extraction,and the grayscale median filter was introduced for preprocessing,then a Gaussian kernel support vector machine classification architecture was built.At last,the fault diagnosis of the strut insulator was realized.The results show that the diagnosis method can not only complete the fault monitoring of the strut insulator,but also improve the efficiency and accuracy.