TY - GEN
T1 - Statistical analysis of subcomponent failures in power transformers
AU - Chmura, LA
AU - Morshuis, PHF
AU - Gulski, E
AU - Smit, JJ
AU - Janssen, A
PY - 2011
Y1 - 2011
N2 - The transformers are very complex devices, consisting of different subcomponents e.g. winding, tap changer, bushing etc. During operation, all of the subcomponents are stressed and subjected to aging. When the aging reaches certain level, the subcomponent may fail. By application of statistical tools it is possible to investigate the failure occurrence in transformers. That means, that by fitting the mathematical model to the data, the parameters of the transformers' population can be estimated. By doing so, it is possible to see what is the stage of life of transformers, and what can be expected in terms of coming failures. However for a proper analysis, it is important to know how to deal with failures that do not seem to follow the statistical distribution chosen. Such outliers may affect the analysis considerably. In the paper, the influence of the outliers on the results of expected failures is presented. The latter is very important for the utility, as such information can be used as an additional information when deciding about replacement of transformers. Also, when deciding about spare transformers, knowledge about failure expectation is very valuable.
AB - The transformers are very complex devices, consisting of different subcomponents e.g. winding, tap changer, bushing etc. During operation, all of the subcomponents are stressed and subjected to aging. When the aging reaches certain level, the subcomponent may fail. By application of statistical tools it is possible to investigate the failure occurrence in transformers. That means, that by fitting the mathematical model to the data, the parameters of the transformers' population can be estimated. By doing so, it is possible to see what is the stage of life of transformers, and what can be expected in terms of coming failures. However for a proper analysis, it is important to know how to deal with failures that do not seem to follow the statistical distribution chosen. Such outliers may affect the analysis considerably. In the paper, the influence of the outliers on the results of expected failures is presented. The latter is very important for the utility, as such information can be used as an additional information when deciding about replacement of transformers. Also, when deciding about spare transformers, knowledge about failure expectation is very valuable.
KW - conference contrib. refereed
KW - Conf.proc. > 3 pag
U2 - 10.1109/EIC.2011.5996149
DO - 10.1109/EIC.2011.5996149
M3 - Conference contribution
SN - 978-1-4577-0279-2
SP - 216
EP - 220
BT - 2011 Electrical Insulation Conference 2011
A2 - Frost, N
A2 - Gaberson, P
PB - IEEE Society
CY - Piscataway, NJ, USA
T2 - 2011 Electrical Insulation Conference
Y2 - 5 June 2011 through 8 June 2011
ER -