Transmission Line Fault Diagnosis Based on Image Recognition Technology

To efficiently, accurately, and safely test the condition of high-voltage transmission lines, an image recognition method is proposed in this paper. The visible image obtained from aerial photography undergoes preprocessing using the Wiener filter algorithm, followed by feature extraction using the PCA-SIFT algorithm. Subsequently, the image was registered and compared with a reference template image and subjected to change detection technology for fault detection and diagnosis. Testing results demonstrated that the proposed method is capable of fast detecting transmission line faults, which holds significant practical value.