Title :
Application of artificial intelligence in diagnosis of power transformer incipient faults
Author_Institution :
Vietnam Power Generation Corp., Vietnam
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;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
Conference_Location :
Regina, SK
Print_ISBN :
978-1-4799-0031-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2013.6567700
