Publication: Investigation on The Possibility of Using Image Segmentation Technique to Characterize an Electrical Arcing in Power Transformer Liquid
Date
2020-02
Authors
Yogenthiraprasad a/l Karnan
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Abstract
The study of this project is to implement image segmentation technique in power transformer insulation oil for condition monitoring purpose. Image segmentation technique is cost-effective and will be more suitable as the program will be more particularized to mathematical processing of image. In this study, image segmentation technique is used to characterize the images of electrical bridge that is formed in power transformer insulation oil. Images will be processed, and measurement of parameters will be done to segmented image as to determine the condition of power transformer insulation oil. Image processing program is done with MATLAB and the output images are displayed in a graphical user interface (GUI) developed using MATLAB App Designer.
Description
FYP 2 SEM 2 2019/2020
Keywords
image segmentation , Electrical arcing , Transformer oil , monitoring