TY - GEN
T1 - Planning of O&M for offshore wind turbines using Bayesian graphical models
AU - Nielsen, Jannie Jessen
AU - Sørensen, John Dalsgaard
PY - 2010/12/1
Y1 - 2010/12/1
N2 - The costs to operation and maintenance (O&M) for offshore wind turbines are large, and risk-based planning of O&M has the potential of reducing these costs. This paper presents how Bayesian graphical models can be used to establish a probabilistic damage model and include data from imperfect inspections and monitoring. The method offers efficient updating of the failure probability, which is necessary for risk-based decision making. An application example is presented to demonstrate the capabilities of the method.
AB - The costs to operation and maintenance (O&M) for offshore wind turbines are large, and risk-based planning of O&M has the potential of reducing these costs. This paper presents how Bayesian graphical models can be used to establish a probabilistic damage model and include data from imperfect inspections and monitoring. The method offers efficient updating of the failure probability, which is necessary for risk-based decision making. An application example is presented to demonstrate the capabilities of the method.
UR - http://www.scopus.com/inward/record.url?scp=84861715409&partnerID=8YFLogxK
M3 - Article in proceeding
AN - SCOPUS:84861715409
SN - 9780415604277
T3 - Reliability, Risk and Safety: Back to the Future
SP - 1081
EP - 1088
BT - Reliability, Risk and Safety
T2 - European Safety and Reliability Annual Conference: Reliability, Risk and Safety: Back to the Future, ESREL 2010
Y2 - 5 September 2010 through 9 September 2010
ER -