Infrared Image Segment and Fault Location for Power Equipment
Xiaohui Yan, Shaohua Wang, Xiao Liu, Yunfei Han, Yiting Duan, Qilin Li · Journal of Physics Conference Series · 2019
Infrared imaging technology relies on the characteristics of non-contact, high fault diagnosis efficiency, intuitive and accurate data, night monitoring, high equipment sensitivity, strong environmental adaptability, etc., and has become a very important tool in the field of online real-time monitoring of power system. This paper introduces the application of image segmentation in power system fault detection using infrared image, divides the image into fault area and non-fault area, realizes the recognition and location of equipment fault area, and introduces several methods of mainstream image segmentation. In this paper, the application of infrared image segmentation in fault maintenance of power equipment is discussed in detail by taking the fault location of electrical insulator as an example, and the segmentation methods are compared.