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

Author:

Illias Hazlee AzilORCID,Zhao Liang Wee

Funder

Ministry of Higher Education, Malaysia

Institut Pengurusan dan Pemantauan Penyelidikan, Universiti Malaya

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference49 articles.

1. Wang Z. Artificial Intelligence Applications in the Diagnosis of Power Transformer Incipient Faults: Virginia Polytechnic Institute and State University; 2000.

2. Dissolved gas analysis method based on novel feature prioritisation and support vector machine;C Wei;IET Electric Power Applications,2014

3. Fault diagnosis of power transformers using multi-class least square support vector machines classifiers with particle swarm optimisation;HB Zheng;IET Electric Power Applications,2011

4. Thermal modeling of power transformers using evolving fuzzy systems;LM Souza;Engineering Applications of Artificial Intelligence,2012

5. Parameter estimation of three-winding transformers using genetic algorithm;SH Thilagar;Engineering Applications of Artificial Intelligence,2002

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