Bayesian network based probabilistic model for optimized inspection intervals for offshore wind turbine support structures

被引：0
|
作者：
Nicoreac, M.P. [1 ]
Courage, W.M.G. [1 ]
Kempker, P.L. [1 ]
机构：
[1] Netherlands Institute of Applied Scientific Research (TNO), Netherlands
来源：
Heron | 2020年 / 65卷 / 01期
关键词：
Costs - Ground supports - Inspection - Maintenance - Offshore oil well production - Offshore wind turbines;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The support structures of offshore wind turbines (OWTs) are difficult to inspect due to the environmental conditions and difficult access to structural parts. The inspection and maintenance cost are therefore high, providing a good motivation for further optimizing the planning and costs for these actions. In the context of the FeLoSeFI project, a risk based concept is used in which the uncertainties in fatigue life prediction models are considered. The probability of failure versus the costs of maintenance provide a good picture of the consequences regarding the maintenance actions to be applied. © 2020 Delft University of Technology. All rights reserved.
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页码：151 / 174
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