| Issue |
E3S Web Conf.
Volume 185, 2020
2020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|
|
|---|---|---|
| Article Number | 01034 | |
| Number of page(s) | 6 | |
| Section | Energy Engineering and Power System | |
| DOI | https://doi.org/10.1051/e3sconf/202018501034 | |
| Published online | 01 September 2020 | |
Infrared image-based detection method of electrical equipment overheating area in substation
1 Electric Power Research Institute, State Grid Sichuan Electric Power Company, Chengdu, Sichuan, 610000, China
2 Automation and Information Engineering, Sichuan University of Science & Engineering, zigong, Sichuan, 643000, China
* Corresponding author’s e-mail: litianyu207@163.com
For the detection of overheated areas of electrical equipment, in order to accurately segment out the overheated areas and reduce the fault detection range, this paper proposes a new overheated area detection algorithm. Firstly, the Ostu algorithm is used to remove the background and segment the general area of the electrical equipment area; secondly, the active contour model is used to refine the edge of the target area to remove the redundant edge points; finally, FCM clustering algorithm is used to suppress over segmentation and accurately divide the overheated area. The experiment proves that the algorithm can accurately divide the overheated area, and has certain practical value.
© The Authors, published by EDP Sciences, 2020
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