Automatic Diagnosis of Internal Defects in High-Voltage Electrical Equipment Based on Infrared Image Technology
To improve the accuracy of internal defect detection in electrical equipment,an automatic diagnosis method for internal defects in high-voltage electrical equipment based on infrared imaging technology is proposed.By using infrared imaging technology to process infrared images of equipment defects,after processing noise,the internal heating source features of high-voltage electrical equipment are extracted,and a deformable convolutional neural network is used to achieve automated diagnosis of internal defects in high-voltage electrical equipment.The results indicate that infrared imaging technology can accurately and quickly identify the heat sources and potential defects inside high-voltage electrical equipment,and has good application effects.
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