Construction of a transformer DGA health index based on DGA screening processes

Michael Hosseini; Brian G. Stewart; Martin Kearns; Nick Torenvliet

Construction of a transformer DGA health index based on DGA screening processes

Michael Hosseini, Brian G. Stewart, Martin Kearns, Nick Torenvliet

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Abstract

An automated transformer dissolved gas analysis evaluation system based on the recently released IEEE Standard C57.104-2019 for mineral oil-immersed transformers is implemented and its outputs demonstrated. The system includes diagnostic capabilities using the Duval Triangles 1-4-5 and Rogers Ratio method. In addition, a Health Index derived from the above Standards is proposed as a compact, yet informative metric for tracking transformer health. Finally, some of the challenges in developing such an implementation are highlighted.

Original language	English
Title of host publication	Annual Conference on Electrical Insulation and Dielectric Phenomena (2020) : CEIDP 2020
Place of Publication	Piscataway, NJ.
Publisher	IEEE
Pages	1-4
Number of pages	4
Publication status	Accepted/In press - 2 Sep 2020
Event	Annual Conference on Electrical Insulation and Dielectric Phenomena (2020): CEIDP 2020 - On-line, United States Duration: 18 Oct 2020 → 30 Nov 2020 http://www.ceidp.org http://ceidp.org

Conference

Conference	Annual Conference on Electrical Insulation and Dielectric Phenomena (2020): CEIDP 2020
Abbreviated title	CEIDP 2020
Country	United States
Period	18/10/20 → 30/11/20
Internet address	http://www.ceidp.org http://ceidp.org

Keywords

transformers
condition monitoring
dissolved gas analysis
DGA
C57.104

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Cite this

@inproceedings{6587217a120c4692ac85fe0b683b9b98,

title = "Construction of a transformer DGA health index based on DGA screening processes",

abstract = "An automated transformer dissolved gas analysis evaluation system based on the recently released IEEE Standard C57.104-2019 for mineral oil-immersed transformers is implemented and its outputs demonstrated. The system includes diagnostic capabilities using the Duval Triangles 1-4-5 and Rogers Ratio method. In addition, a Health Index derived from the above Standards is proposed as a compact, yet informative metric for tracking transformer health. Finally, some of the challenges in developing such an implementation are highlighted.",

keywords = "transformers, condition monitoring, dissolved gas analysis, DGA, C57.104",

author = "Michael Hosseini and Stewart, {Brian G.} and Martin Kearns and Nick Torenvliet",

note = "{\textcopyright} 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; Annual Conference on Electrical Insulation and Dielectric Phenomena (2020): CEIDP 2020, CEIDP 2020 ; Conference date: 18-10-2020 Through 30-11-2020",

year = "2020",

month = sep,

day = "2",

language = "English",

pages = "1--4",

booktitle = "Annual Conference on Electrical Insulation and Dielectric Phenomena (2020) : CEIDP 2020",

publisher = "IEEE",

url = "http://www.ceidp.org, http://ceidp.org",

}

Hosseini, M , Stewart, BG, Kearns, M & Torenvliet, N 2020, Construction of a transformer DGA health index based on DGA screening processes. in Annual Conference on Electrical Insulation and Dielectric Phenomena (2020) : CEIDP 2020., 572, IEEE, Piscataway, NJ., pp. 1-4, Annual Conference on Electrical Insulation and Dielectric Phenomena (2020): CEIDP 2020, United States, 18/10/20.

Construction of a transformer DGA health index based on DGA screening processes. / Hosseini, Michael ; Stewart, Brian G.; Kearns, Martin; Torenvliet, Nick.

Annual Conference on Electrical Insulation and Dielectric Phenomena (2020) : CEIDP 2020. Piscataway, NJ. : IEEE, 2020. p. 1-4 572.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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N2 - An automated transformer dissolved gas analysis evaluation system based on the recently released IEEE Standard C57.104-2019 for mineral oil-immersed transformers is implemented and its outputs demonstrated. The system includes diagnostic capabilities using the Duval Triangles 1-4-5 and Rogers Ratio method. In addition, a Health Index derived from the above Standards is proposed as a compact, yet informative metric for tracking transformer health. Finally, some of the challenges in developing such an implementation are highlighted.

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