Framework for risk‐based planning of operation and maintenance for offshore wind turbines

Abstract

Abstract For offshore wind turbines, costs to operation and maintenance (OM) are substantial. This paper describes a risk‐based life cycle approach for optimal planning of OM. The approach is based on pre‐posterior Bayesian decision theory, and can be used both to overall, initial planning of OM, and to sequential optimal decision making on planning of OM taking into account new information. Deterioration mechanisms such as fatigue, corrosion, wear and erosion are associated with significant uncertainty. Observations of the degree of damage can increase the reliability of predictions, especially in connection with condition‐based maintenance. The approach can be used for gearboxes, generators, fatigue cracks, corrosion, etc. This paper also describes how probabilistic indicators can be used to quantify indirect information about the damage state for critical components, e.g. gearboxes. Copyright © 2009 John Wiley & Sons, Ltd.