DocumentCode
2319323
Title
Application of statistical tools for assessing service availability of high voltage power cables
Author
Jongen, R.A. ; Gulski, E. ; Morshuis, P.H.F. ; Smit, J.J. ; Janssen, A.L.J.
Author_Institution
Delft Univ. of Technol., Delft
fYear
2008
fDate
21-24 April 2008
Firstpage
546
Lastpage
550
Abstract
The practical interest of power utilities regarding the maintenance and replacement policy of insulating systems such as cables, switchgear and transformers is often based on experiences knowledge and data from the past. The ages of components in the network are increasing and this can result in an increase of the number of failures in coming years. To be able to monitor the components powerful tools are diagnostic measurements performed on the network components and analysis of life time data obtained from the exploitation of the components. In this contribution the analysis procedure is applied to life time data of 50 kV mass-insulated cables of a Dutch utility.To see what can be expected in the future the population in service together with the obtained failure rate curve is used. This gives statistical information regarding expected failures and critical connections. The analysis can help the asset manager to determine if immediate action has to be taken to meet the business policy e.g. condition assessment, maintenance or replacement, or if the current policy fulfils the conditions.
Keywords
power cables; power transformers; power utilisation; switchgear; Dutch utility; assessing service availability; high voltage power cables; maintenance policy; mass-insulated cables; power utility; replacement policy; statistical information; statistical tools; switchgear; transformers; Availability; Cable insulation; Condition monitoring; Performance analysis; Performance evaluation; Power cables; Power transformer insulation; Switchgear; Time measurement; Voltage; Failure analysis; Life estimation; Power cables; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1621-9
Electronic_ISBN
978-1-4244-1622-6
Type
conf
DOI
10.1109/CMD.2008.4580346
Filename
4580346
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