Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation

• Main Authors: Illias, Hazlee Azil, Wee, Zhao Liang
• Format: Article
• Published: Public Library of Science 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/21817/; https://doi.org/10.1371/journal.pone.0191366
• Institution: Universiti Malaya

Early detection of power transformer fault is important because it can reduce the maintenance cost of the transformer and it can ensure continuous electricity supply in power systems. Dissolved Gas Analysis (DGA) technique is commonly used to identify oil-filled power transformer fault type but util...