Research on zero-value insulator detection method based on infrared imaging characteristics

Wanzhao Peng; Gengru Lu; Yan Feng; Shu Pan; Chunhua Fang; Tianliang Xue; Yao Chen; Wanke Shen

doi:10.1117/12.3055360

12 December 2024 Research on zero-value insulator detection method based on infrared imaging characteristics

Wanzhao Peng, Gengru Lu, Yan Feng, Shu Pan, Chunhua Fang, Tianliang Xue, Yao Chen, Wanke Shen

Author Affiliations +

Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 1343926 (2024) https://doi.org/10.1117/12.3055360
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China

Abstract

In order to explore whether the infrared imaging characteristics of zero-value insulator string can be used as the basis for proposing field detection methods, we analyzed the influence of different humidity and contamination conditions and different positions of zero-value insulator on the string on infrared thermal image characteristics through experimental research. The research shows that the temperature rise of different positions on the surface of porcelain insulators is closely related to the distance of the center axis of rotation, and the two are negatively correlated. The maximum temperature rise point is at the point where the iron foot of the insulator meets its lower surface. The position of the zero-value insulator in the string also has an effect on the temperature distribution. The closer the position is to the high-voltage or low-voltage side, the greater the temperature difference between the normal insulator and the zero-value insulator. The ambient humidity and surface contamination of the insulator will aggravate the overall temperature appreciation of the insulator, and the impact on the temperature difference between the zero-value insulator and the adjacent normal insulator is more obvious. According to the above research results, a zero-value insulator detection method based on infrared imaging characteristics can be proposed, and its accuracy is verified by examples under the corresponding detection conditions.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wanzhao Peng, Gengru Lu, Yan Feng, Shu Pan, Chunhua Fang, Tianliang Xue, Yao Chen, and Wanke Shen "Research on zero-value insulator detection method based on infrared imaging characteristics", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 1343926 (12 December 2024); https://doi.org/10.1117/12.3055360

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KEYWORDS

Contamination

Relative humidity

Infrared imaging

Infrared detection

Humidity

Thermography

Temperature distribution

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