Inspection and maintenance optimization for OWT’s using Bayesian networks
conference paper
For offshore wind turbines (OWT’s) environmental and accessibility conditions make inspection and maintenance costly. Hence the potential of cost reduction when the planning of these actions can be optimized. Taking uncertainties into account, a risk based concept is adopted in which probabilities of failure and its consequences are balanced against costs of inspections and actions, including different inspection and maintenance methods. The evolution over time of the structure’s state is represented by a state of the art crack growth model that takes retardation effects into account due to possible overloads in the fatigue load sequences. Optimizations are obtained by a Bayesian Network schematization of the problem at hand and making use of the Limited Memory Influence Diagram. The paper describes the background of the procedures and illustrates their performance by presenting an example with OWT data.
Topics
TNO Identifier
753498
ISBN
9781138029972
Publisher
CRC Press/Balkema
Source title
Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016, Glasgow, Scotland, UK, 25-29 September 2016
Editor(s)
Walls, L.
Revie, M.
Bedford, T.
Revie, M.
Bedford, T.
Collation
6 p.
Pages
1044-1049
Files
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