ANN approach for condition monitoring of power transformers using DGA

Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1642

Full metadata record

DC Field	Value	Language
dc.contributor.author	Sarma ., D.V.S.S	-
dc.contributor.author	Kalyani, G.N.S.	-
dc.date.accessioned	2024-11-21T10:27:13Z	-
dc.date.available	2024-11-21T10:27:13Z	-
dc.date.issued	2004	-
dc.identifier.citation	10.1109/TENCON.2004.1414803	en_US
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/1642	-
dc.description	NITW	en_US
dc.description.abstract	Power transformer being a major apparatus in a power system, monitoring of its in-service behavior is necessary to avoid catastrophic failures, costly outages. Dissolved gas analysis (DGA) is an important tool for transformer fault diagnosis. The ratio methods used in the DGA have an advantage that they are independent of volume of gases involved. But the main draw back of the ratio methods is that they fail to cover all ranges of data. ANN approach is adopted as a remedy for the drawback of ratio methods in this paper.	en_US
dc.language.iso	en	en_US
dc.publisher	IEEE Region 10 Annual International Conference, Proceedings/TENCON	en_US
dc.subject	Transformative Power	en_US
dc.subject	Dissolved Gas Analysis	en_US
dc.subject	ANN Approach	en_US
dc.subject	Power System	en_US
dc.title	ANN approach for condition monitoring of power transformers using DGA	en_US
dc.type	Other	en_US
Appears in Collections:	Electrical Engineering

Files in This Item:

File	Description	Size	Format
ANN_approach_for_condition_monitoring_of_power_transformers_using_DGA.pdf		1.97 MB	Adobe PDF	View/Open