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- W624845038 abstract "Many of the assets managed by TenneT TSO have been installed in the sixties and seventies of the previous century. Consequently, 50% of their assets will reach their designed lifetime within ten years. Due to financial and technical restrictions not all the asset can be replaced based on their age. Hence, TenneT TSO developed a Health index tool together with KEMA to translate measurements from inspection and maintenance to the health (technical condition) of an asset. In that way the maintenance and replacement planning can be adjusted for the health of all the assets. The outcome of the health index tool was a four-class scale. The asset could either be good, fair, moderate or poor. However, these four categories were not enough for the replacement planning and maintenance prioritization within the asset management department. The goal of this research is to determine the current technical state of an asset in more detail. Furthermore, the derived tool or model should be capable of determining the technical state of the asset after the planning period. In this research an asset performance estimation model has been derived. The model links inputs measured during inspection and maintenance to performance indicators. The model is based upon the failure modes of an asset and acknowledges various subpopulations of an asset with different failure rates and/or failure impacts. The more specific the subpopulations are, the more detailed the performance estimations become. A few possible performance indicator outputs of the model are failure rate, reliability and remaining lifetime. After the model was derived for assets in general, it has been implemented for circuit breakers." @default.
- W624845038 created "2016-06-24" @default.
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- W624845038 date "2011-07-04" @default.
- W624845038 modified "2023-09-27" @default.
- W624845038 title "High Voltage Asset Performance Modeling" @default.
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