Different Clustering Methods Applied to Image Processing in Electrical Power System Field

Temperature is an important indicator of the electrical equipment conditions. An accurate fault diagnosis can be performed by using the temperature profile of the electrical equipment surface. Infrared thermograph has gained more attention and becomes an interesting method in electrical fault diagnosis due to its advantages. This paper presents a review of different methods of image segmentation (clustering algorithms) applied to infrared thermograph which has been used to get useful information from electrical equipment of power system for faults detection, classification and localization.