Image processing in fault identification for power equipment based on improved super green algorithm

Abstract In this study, we propose using an unmanned aerial vehicle infrared thermal imager to obtain infrared video, and using image processing technology to process the acquired video. Moreover, based on research regarding traditional algorithms, an improved super green algorithm is proposed, and a feature analysis is conducted according to the actual situation. In this study, an effective identification model was designed for the most common types of faults, the most common electrical equipment components for research were collected, tests for analyzing the effectiveness of the algorithm were designed, and relevant data and images were recorded. The research shows that the proposed algorithm has validity, and can provide a theoretical reference for subsequent related research.

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