Overheating Recognition in Power Systems using Thermochromic Materials and Image Processing
Journal Title: روش های هوشمند در صنعت برق - Year 2017, Vol 8, Issue 31
Abstract
According to the diagnosis of defects in electrical equipment to prevent accidents, damage and losses, it is necessary to work effectively in identifying defects so that we can predict and prevent errors. Nowadays, thermal defects detect in power systems by thermography. However, there is limitation such as the need to have expensive thermography equipment. In this paper, a new method for detecting defects in the electrical equipment is presented. In this method, the use of thermochromic materials has been suggested in power systems for the first time. Thermochromic is a kind of smart materials, which is returnable with temperature change. Since most of the defects in the equipment produce heat, if the equipment covers with thermochromic material, the color change is obtained with temperature rising. In this paper, the equipment was covered with thermochromic materials. Then, with introducing the novel feature regarding the histogram in the first level and DRLBP in the second level, the equipment was classified into two categories, with defect and without defect, by a neural network. The results showed that with increasing temperature, color changed in the location of defects and defect identification recognized easily and with high accuracy.
Authors and Affiliations
Mehdi Abdi, Vahid Ghods
Keywords
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