Jurnal Teknik Elektro dan Komputasi (ELKOM)
Vol 1, No 1 (2019): ELKOM

Analisis Dissolved Gas Analysis Dan Klasifikasi Tipe Fault Pada Minyak Trafo Dengan Metode Naive Bayes Classifier Pada Transformator Daya 150 kV

Sofia Ariyani (Universitas Muhammadiyah Jember)



Article Info

Publish Date
26 Aug 2019

Abstract

Transformers are very important in electric power systems as well as in industry, therefore preventive maintenance is very necessary. One such treatment is the treatment of transformer oil. DGA (is an analysis of dissolved gas in transformer insulation oil and is one form of treatment for transformer insulation oil). In this final project, we will discuss how to analyze transformer oil data from DGA test and fault type classification using the naive bayes classifier method. The data from the transformer oil test with the DGA will later be classified which are then analyzed using Naive Bayes classifier and calculate the evaluation results with precision, recall, accuracy.

Copyrights © 2019






Journal Info

Abbrev

ELKOM

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

Description

ELKOM “Jurnal Teknik Elektro dan Komputasi” diterbitkan oleh Universitas Muhammadiyah Jember dan dikelola oleh Program Studi Teknik Elektro Universitas Muhammadiyah Jember. ELKOM terbit 2 kali dalam setahun. Artikel yang dimuat adala artikel hasil penelitian atau systematic literature review ...