Laggoune et nbsp al considered opportunistic replacement of components

Nilsson and Bertling [26] presented the effect of condition monitoring as the maintenance strategy on life AR A014418 cost for two cases, a single turbine onshore and a wind farm offshore. According to their study, condition monitoring benefits maintenance management of offshore power systems and cost of this strategy can be covered by 0.43% increase in availability in turbines for power generation.
Besnard et al. [6], proposed an optimization model for opportunistic maintenance of offshore wind turbines. Their model suggested that, scheduling preventive maintenance when power generation potential is low can lead to minimization of cost of maintenance.
In their model, Besnard et al. [5] proposed a glycogen model for offshore wind turbine maintenance support organization. Their model considered modes of transportation for maintenance, location of maintenance team, service hours, and number of teams as decision variables. Backlogging of maintenance activities were presented through a queuing model. A case study illustrated the model and offshore accommodation of teams on service 24 h a day, 7 days a week transported by crew transport vessel equipped with motion compensated access system was found to be most cost efficient.