Research on Automatic Detection of Insulator Fault
In order to further improve the accuracy of insulator fault detection,a new automated detection method is proposed based on existing insulator fault detection methods.Firstly,preprocess the insulator fault image using thermal imaging technology;Secondly,using convolutional neural network technology to achieve insulator fault feature recognition;Finally,the Sobel operator is used to detect and locate insulator faults.From the comparative experimental results,it can be seen that the proposed method has high accuracy and precision in insulator fault detection.
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