Application of artificial intelligence in diagnosis of power transformer incipient faults

Author

Van Le, Nguyen

Author_Institution

Vietnam Power Generation Corp., Vietnam

fYear

2013

fDate

5-8 May 2013

Firstpage

1

Lastpage

4

Abstract

Based on AI technology, an effective tool was built for chromatography machine operators to fully exploit the equipment performance. The tool also assists operators to rapidly inspect the transformer quality with high reliability. The research is indeed successful in simplifying a complex technique with high reliability. The results also serve as a basis for recommendations to be made to power sector with regard to application of AI in transformer management.

Keywords

artificial intelligence; chromatography; fault diagnosis; power engineering computing; power transformer testing; AI technology; artificial intelligence; chromatography machine operator; equipment performance; power sector; power transformer incipient fault diagnosis; transformer management; transformer quality inspection; Accuracy; Circuit faults; Corona; Gases; Oil insulation; Power transformer insulation; Artificial intelligence technology; dissolved gas analysis; transformer diagnosis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on

Conference_Location

Regina, SK

ISSN

0840-7789

Print_ISBN

978-1-4799-0031-2

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2013.6567700

Filename

6567700