Classification of fault and stray gassing in transformer oil using SVM, NB and KNN algorithms

• Main Authors: Al-Katheri, Hussein Hasan, Mohd Yousof, Mohd Fairouz, Illias, Hazlee Azil, Talib, Mohd Aizam
• Format: Conference or Workshop Item
• Published: 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/35551/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111968450&doi=10.1109%2fICPADM49635.2021.9493941&partnerID=40&md5=c98c7f33b1480b8129557a086dfde3e7
• Institution: Universiti Malaya

Power transformer is one of the most crucial components in the power system network. A major fault on the transformer can disrupt the power supply, thus causing substantial losses. The dissolved gas analysis (DGA) is used to detect incipient fault based on the transformer oil. However, stray gassing...