Challenges for Risk-based Maintenance Planning for Offshore Wind Turbines

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Abstract

This paper concerns the development of a probabilistic model for riskbased maintenance planning for offshore wind turbines. A prior damage model can be combined with data to give an updated estimate of the probability of failure. For indicators, an indicator model is needed, and this paper presents how Bayesian networks can be used to learn such a model when past data is available.
Original languageEnglish
JournalProceedings of the International Offshore and Polar Engineering Conference
Pages (from-to)451-457
Number of pages7
ISSN1098-6189
Publication statusPublished - 2011
EventThe Twenty-first (2011) International Offshore and Polar Engineering Conference (ISOPE) - Maui, Hawaii, United States
Duration: 19 Jun 201124 Jun 2011

Conference

ConferenceThe Twenty-first (2011) International Offshore and Polar Engineering Conference (ISOPE)
Country/TerritoryUnited States
CityMaui, Hawaii
Period19/06/201124/06/2011

Keywords

  • Risk-Based Planning
  • Maintenance
  • Bayesian Networks
  • Indicators

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