Online temperature monitoring of power equipment based on temperature difference sensing

Honghuai Mo; Yu Zou; Dengke Liu; Guangyuan Yang; Yuanchun Wang; Duan Luo; Chuncheng Chen

doi:10.1117/12.2685374

19 October 2023 Online temperature monitoring of power equipment based on temperature difference sensing

Honghuai Mo, Yu Zou, Dengke Liu, Guangyuan Yang, Yuanchun Wang, Duan Luo, Chuncheng Chen

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127091Q (2023) https://doi.org/10.1117/12.2685374
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

The safe and stable operation of substation equipment is becoming more and more important, especially in recent years, the construction of smart grids has correspondingly increased its requirements. Because of the different locations and severity of substation equipment failure, infrared thermal imaging technology can quantitatively determine the hidden danger or the degree of failure. The practice has proved that this is an effective means of substation equipment fault diagnosis. In the working environment of power equipment, there will be a situation that the equipment will be covered, which will lead to the absence of targets in infrared imaging. In view of this situation, this paper randomly chooses some normal samples, constructs different missing levels and puts them into the test set for experiments. It also compares the classification effects of various algorithms in different missing levels. The results indicate that the classification accuracy of this paper is significantly lower than that of normal conditions, and it is still superior to its similar algorithms under different sample missing levels. The results also show that the method is robust and the Zernike moment invariants have certain adaptability when the target region is destroyed. It is of great significance to enhance the operation safety and economic benefits of substation equipment, reduce the maintenance cost of equipment and economic losses, and ensure the reliable operation of substation equipment.

Citation Download Citation

Honghuai Mo, Yu Zou, Dengke Liu, Guangyuan Yang, Yuanchun Wang, Duan Luo, and Chuncheng Chen "Online temperature monitoring of power equipment based on temperature difference sensing", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127091Q (19 October 2023); https://doi.org/10.1117/12.2685374

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KEYWORDS

Thermography

Infrared imaging

Infrared radiation

Image segmentation

Image fusion

Image processing algorithms and systems

Signal to noise ratio

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