Intelligent Identification Method of Transformer Overheat Fault in Distribution Substation Based on Deep Learning Algorithm and Infrared Temperature Measurement Technology

A new intelligent identification method for transformer overheating faults in distribution substations is designed to address the issue of generalization of fault identification and the generation of abnormal fault intelligent identification alarms. We have selected an infrared thermometer for the intelligent identification of transformer overheating faults in distribution substations and combined it with deep learning algorithms to design an intelligent identification framework for transformer overheating faults, achieving intelligent identification of transformer overheating accidents. The experimental results show that this method has good recognition performance, certain reliability, and application value, and has made a certain contribution to reducing the operational risk of transformers in distribution substations.