DocumentCode
262890
Title
Statistical analysis of non-homogeneous life-data of 50 kV tap changers for residual life assessment purposes
Author
Chmura, L.A. ; Morshuis, P.H.F. ; Smit, J.J. ; Janssen, A.L.J.
Author_Institution
ESE Dept., Delft Univ. of Technol., Delft, Netherlands
fYear
2014
fDate
8-11 Sept. 2014
Firstpage
1
Lastpage
4
Abstract
Statistical tools are useful for the residual life assessment of the population of power system component. More specific, by fitting a statistical distribution to the life-data of an investigated population its life-stage can be recognized. However, there is a number of requirement with respect to the data quality that is supplied for the analysis. The homogeneity, independence and randomness should be recognizable in the sufficient amount of data to enable distribution fitting and assure the representative and exact results. However, due to characteristics of the power network, the life-data representing populations of high-voltage components is not always homogeneous with respect to the operating regime. In addition, the amount of failure data available for the analysis is often low in comparison to units remaining in service. In our paper, we will present the analysis of the Weibull distribution applicability for the population of 50 kV tap changers, knowing that the past loading profile varies between individual units.
Keywords
Weibull distribution; on load tap changers; remaining life assessment; statistical analysis; Weibull distribution; high-voltage component; life-data representation; nonhomogeneous life-data quality; power network characteristics; power system component; residual life assessment purpose; statistical analysis; statistical distribution; tap changer; voltage 50 kV; Fitting; Loading; Reliability; Sociology; Statistical analysis; Weibull distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
High Voltage Engineering and Application (ICHVE), 2014 International Conference on
Conference_Location
Poznan
Type
conf
DOI
10.1109/ICHVE.2014.7035384
Filename
7035384
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