A flexible scheme to fault detection for electrical assets using infrared thermography

Abstract

This paper approaches an infrared thermography methodology that can help to find fault and diagnosis for the electrical equipment. It uses noncontact and nondestructive technology. This technique is fast and reliable for inspecting the system without any interruption. In the field of electrical area maintenance, reliability of transmission and distribution system is one of the most critical issues and it suffers from some problems like loose connection, corrosion, and unbalanced loads. In this paper noninvasive methods are used to monitor the temperature of electrical assets and analysis of the hot region, and it used the watershed transform for the image segmentation and color-based segmentation which separates the red, green, blue area of the image. Dark red hot region areas are detected and the maximum temperature is 194 °C and the reference temperature is 40.8 °C of fuse cabinet. The proposed method is to detect the hotness and hot region of the electrical assets for fault detection.