Bayesian Networks as a Decision Tool for O&M of Offshore Wind Turbines

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

2015 Downloads (Pure)

Abstract

Costs to operation and maintenance (O&M) of offshore wind turbines are large. This paper presents how influence diagrams can be used to assist in rational decision making for O&M. An influence diagram is a graphical representation of a decision tree based on Bayesian Networks. Bayesian Networks offer efficient Bayesian updating of a damage model when imperfect information from inspections/monitoring is available. The extension to an influence diagram offers the calculation of expected utilities for decision alternatives, and can be used to find the optimal strategy among different alternatives. The method is demonstrated through application examples.
OriginalsprogEngelsk
TitelASRANet : Integrating Structural Analysis, Risk & Reliability : 5th International ASRANet Conference, Edinburgh, UK, 14-16 June 2010
Antal sider8
UdgivelsesstedEdinburgh
ForlagASRANet Ltd.
Publikationsdato2010
ISBN (Elektronisk)9780955355066
StatusUdgivet - 2010

Emneord

  • Wind Turbines
  • Offshore
  • Bayesian Networks

Fingeraftryk

Dyk ned i forskningsemnerne om 'Bayesian Networks as a Decision Tool for O&M of Offshore Wind Turbines'. Sammen danner de et unikt fingeraftryk.

Citationsformater