Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 6678845 |
| Seiten (von - bis) | 1984-1991 |
| Seitenumfang | 8 |
| Fachzeitschrift | IEEE Transactions on Dielectrics and Electrical Insulation |
| Jahrgang | 20 |
| Ausgabenummer | 6 |
| Publikationsstatus | Veröffentlicht - 11 Dez. 2013 |
Abstract
It is feasible to survey actual performances of degradation for 550 kV transformers by a preventive test. By means of condition monitoring, it is possible to forecast the transformers¿ lifetime. Such data, particularly in an application where few or no failures are expected, can provide considerably more information than the failure-time data from a traditional accelerated life test. In order to develop a life model for 550 kV transformers, the effect of temperature on a thermal aging factor is taken into account since it is associated with various degradation performances of a transformer. With the aid of measurement, the thermal aging factor is analysed by the probability plot and the least-squares fitting of data so that all unknown parameters of the life model are estimated. The method will extrapolate the lifetime of large power transformers from a preventive test in practice.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
Ziele für nachhaltige Entwicklung
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in: IEEE Transactions on Dielectrics and Electrical Insulation, Jahrgang 20, Nr. 6, 6678845, 11.12.2013, S. 1984-1991.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Determination of the thermal aging factor for life expectancy of 550 kV transformers with a preventive test
AU - Zhang, X.
AU - Gockenbach, Ernst
PY - 2013/12/11
Y1 - 2013/12/11
N2 - It is feasible to survey actual performances of degradation for 550 kV transformers by a preventive test. By means of condition monitoring, it is possible to forecast the transformers¿ lifetime. Such data, particularly in an application where few or no failures are expected, can provide considerably more information than the failure-time data from a traditional accelerated life test. In order to develop a life model for 550 kV transformers, the effect of temperature on a thermal aging factor is taken into account since it is associated with various degradation performances of a transformer. With the aid of measurement, the thermal aging factor is analysed by the probability plot and the least-squares fitting of data so that all unknown parameters of the life model are estimated. The method will extrapolate the lifetime of large power transformers from a preventive test in practice.
AB - It is feasible to survey actual performances of degradation for 550 kV transformers by a preventive test. By means of condition monitoring, it is possible to forecast the transformers¿ lifetime. Such data, particularly in an application where few or no failures are expected, can provide considerably more information than the failure-time data from a traditional accelerated life test. In order to develop a life model for 550 kV transformers, the effect of temperature on a thermal aging factor is taken into account since it is associated with various degradation performances of a transformer. With the aid of measurement, the thermal aging factor is analysed by the probability plot and the least-squares fitting of data so that all unknown parameters of the life model are estimated. The method will extrapolate the lifetime of large power transformers from a preventive test in practice.
KW - Aging factor
KW - Degradation
KW - Large power transformer
KW - Least-squares fitting
KW - Life model
KW - Parameter
KW - Performance
KW - Preventive test
KW - Probability plot
KW - Temperature
UR - http://www.scopus.com/inward/record.url?scp=84898451871&partnerID=8YFLogxK
U2 - 10.1109/TDEI.2013.6678845
DO - 10.1109/TDEI.2013.6678845
M3 - Article
AN - SCOPUS:84898451871
VL - 20
SP - 1984
EP - 1991
JO - IEEE Transactions on Dielectrics and Electrical Insulation
JF - IEEE Transactions on Dielectrics and Electrical Insulation
SN - 1070-9878
IS - 6
M1 - 6678845
ER -