Publication:
Investigation on The Possibility of Using Image Segmentation Technique to Characterize an Electrical Arcing in Power Transformer Liquid

Simple item page
dc.contributor.authorYogenthiraprasad a/l Karnanen_US
dc.date.accessioned2023-05-03T16:14:59Z
dc.date.available2023-05-03T16:14:59Z
dc.date.issued2020-02
dc.descriptionFYP 2 SEM 2 2019/2020en_US
dc.description.abstractThe 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.en_US
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/21212
dc.language.isoenen_US
dc.subjectimage segmentationen_US
dc.subjectElectrical arcingen_US
dc.subjectTransformer oilen_US
dc.subjectmonitoringen_US
dc.titleInvestigation on The Possibility of Using Image Segmentation Technique to Characterize an Electrical Arcing in Power Transformer Liquiden_US
dspace.entity.typePublication
Files
Collections
COE Thesis and Final Year Project (FYP)