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.@en

One of the tools to answer some typical asset management (AM) questions is the use of statistical analysis of life time data of high voltage components. When life time data of components is available, statistical analysis can be performed. The analysis can give information about the failure rate of components, expected failures in the future, conditional remaining life estimation and influence of maintenance- and/or replacement strategies. In this contribution the general approach of the analysis is shown together with some examples of typical AM questions for typical high voltage components. Statistical analysis is used to find answers to these questions.@en

Failure data together with the length and the ages of mass-insulated power cables the still in service of a Dutch utility are used as input for the statistical analysis. The choice of the appropriate distribution depends on the goodness of fit to the data. The fitted statistical distribution gives the relation of the number of expected failures per kilometer together with the age of the cable. 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.@en