Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 4570294 |
| Seiten (von - bis) | 124-127 |
| Seitenumfang | 4 |
| Fachzeitschrift | Conference Record of IEEE International Symposium on Electrical Insulation |
| Publikationsstatus | Veröffentlicht - 2008 |
| Veranstaltung | 2008 IEEE International Symposium on Electrical Insulation, ISEI 2008 - Vancouver, BC, Kanada Dauer: 9 Juni 2008 → 12 Juni 2008 |
Abstract
Monitoring and diagnosis of electrical equipment, in particular power transformers, has attracted considerable attention for many years. It is of great importance for the utilities to find the incipient faults in these transformers as early as possible. Dissolved gas analysis (DGA) is one of the most useful techniques to detect incipient faults in oil-filled power transformers. Various methods have been developed to interpret DGA results such as IEC ratio code, Rogers method and Duval triangle method. One of the most frequently used DGA methods is Duval triangular. It is a graphical method that allows one to follow the faults more easily and more precisely. In this paper a detailed implementation of Duval triangle method was presented for researchers and utilities interested in visualizing their own DGA results using a software program. The Java language is used for this software because of its growing importance in modern application development.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Bauwesen
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
Zitieren
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- Harvard
- Apa
- Vancouver
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in: Conference Record of IEEE International Symposium on Electrical Insulation, 2008, S. 124-127.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - A software implementation of the Duval triangle method
AU - Akbari, A.
AU - Setayeshmehr, A.
AU - Borsi, H.
AU - Gockenbach, E.
N1 - Copyright: Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - Monitoring and diagnosis of electrical equipment, in particular power transformers, has attracted considerable attention for many years. It is of great importance for the utilities to find the incipient faults in these transformers as early as possible. Dissolved gas analysis (DGA) is one of the most useful techniques to detect incipient faults in oil-filled power transformers. Various methods have been developed to interpret DGA results such as IEC ratio code, Rogers method and Duval triangle method. One of the most frequently used DGA methods is Duval triangular. It is a graphical method that allows one to follow the faults more easily and more precisely. In this paper a detailed implementation of Duval triangle method was presented for researchers and utilities interested in visualizing their own DGA results using a software program. The Java language is used for this software because of its growing importance in modern application development.
AB - Monitoring and diagnosis of electrical equipment, in particular power transformers, has attracted considerable attention for many years. It is of great importance for the utilities to find the incipient faults in these transformers as early as possible. Dissolved gas analysis (DGA) is one of the most useful techniques to detect incipient faults in oil-filled power transformers. Various methods have been developed to interpret DGA results such as IEC ratio code, Rogers method and Duval triangle method. One of the most frequently used DGA methods is Duval triangular. It is a graphical method that allows one to follow the faults more easily and more precisely. In this paper a detailed implementation of Duval triangle method was presented for researchers and utilities interested in visualizing their own DGA results using a software program. The Java language is used for this software because of its growing importance in modern application development.
UR - http://www.scopus.com/inward/record.url?scp=52049101773&partnerID=8YFLogxK
U2 - 10.1109/ELINSL.2008.4570294
DO - 10.1109/ELINSL.2008.4570294
M3 - Conference article
AN - SCOPUS:52049101773
SP - 124
EP - 127
JO - Conference Record of IEEE International Symposium on Electrical Insulation
JF - Conference Record of IEEE International Symposium on Electrical Insulation
SN - 0164-2006
M1 - 4570294
T2 - 2008 IEEE International Symposium on Electrical Insulation, ISEI 2008
Y2 - 9 June 2008 through 12 June 2008
ER -