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Determination Of Transformer Lifespan Using Artifical Intelligence

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dc.contributor.authorAbid Akalil Akmal A Hamid
dc.date.accessioned2023-05-03T17:07:35Z
dc.date.available2023-05-03T17:07:35Z
dc.date.issued2020-02
dc.descriptionFYP 2 SEM 2 2019/2020en_US
dc.description.abstractTransformer is one of the important assets in electrical power system. In general, transformer is designed to operate for a long period of time. The expected life of a transformer is between 25 years to 40 years. However, as time goes by, transformer will experience degradation and any undesired event could happened in sudden. Hence, Health Index (HI) assessment is performed in order to access the condition of the transformer and determine its remaining lifespan. Still and all, it could be time consuming to perform the HI assessment since it requires some substantial amount of data. In this modern era, a strategy that could be used to solve the issue is by integrating the HI assessment with Artificial Intelligence (AI) to automate the remaining lifespan of the transformer. To implement this, the AI is required to perform classification tasks in order to classify the condition of the transformers. The AI techniques which will be used are the Support Vector Machine (SVM) and the K-Nearest Neighbours (KNN). These AI techniques will be trained with 100 sets of data. It is observed that the SVM performed better compared to KNN as the SVM obtained higher accuracy than the KNN in predicting the desired output.en_US
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/21515
dc.language.isoenen_US
dc.subjectTransformeren_US
dc.subjectTransforer Lifespanen_US
dc.subjectFYP 2 SEM 2 20192020en_US
dc.titleDetermination Of Transformer Lifespan Using Artifical Intelligenceen_US
dc.typeResource Types::text
dspace.entity.typePublication
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