Infrared image-based detection method of electrical equipment overheating area in substation

Author:

Fan Songhai,Li Tianyu,Liu Yicen,Gong Yiyu,Yu Kunjian

Abstract

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.

Publisher

EDP Sciences

Reference18 articles.

1. Lihua Lin. Research on key technology of substation equipment safety early warning based on infrared imaging [D]. Xi’an University of science and technology, 2014.

2. Ruyi Wang. Research of infrared segmentation for power equipment[D]. Xi’an: Xidian University, 2011.

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