A novel visualisation technique for dissolved gas analysis datasets–A case study

Fonseka, H. A; Hettiwatte, S. N; Lee, G

Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/674

Full metadata record

DC Field	Value	Language
dc.contributor.author	Fonseka, H. A	-
dc.contributor.author	Hettiwatte, S. N	-
dc.contributor.author	Lee, G	-
dc.date.accessioned	2022-01-13T08:58:06Z	-
dc.date.available	2022-01-13T08:58:06Z	-
dc.date.issued	2013	-
dc.identifier.uri	http://localhost:80/handle/123456789/674	-
dc.description.abstract	Dissolved gas analysis is the most widely used diagnostic test in power transformers. There are established methods used in industry for interpreting DGA results. Among these are the IEEE Key Gas Method, Rogers’ Ratios and the Duval Triangle. However, collectively these methods can lead to conflicting results or unclassifiable measurements. This paper presents a visualization technique for interpreting DGA results to mitigate these effects, based on Kernel Principal Component Analysis. DGA measurements from more than 200 power transformers are used to validate the approach.	en_US
dc.language.iso	en	en_US
dc.publisher	Australasian Universities Power Engineering Conference	en_US
dc.relation.ispartofseries	Australasian Universities Power Engineering Conference;	-
dc.subject	transformers	en_US
dc.subject	condition monitoring	en_US
dc.subject	dissolved gas analysis	en_US
dc.subject	key gas method	en_US
dc.subject	Rogers’ ratios	en_US
dc.subject	Duval triangle	en_US
dc.subject	kernel principal component analysis	en_US
dc.title	A novel visualisation technique for dissolved gas analysis datasets–A case study	en_US
dc.type	Article	en_US
Appears in Collections:	Research Papers - Department of Electrical and Electronic Engineering Research Papers - SLIIT Staff Publications

Files in This Item:

File	Description	Size	Format
novel_visualisation_technique.pdf		503.05 kB	Adobe PDF	View/Open

Show simple item record