Cost Effective Maintenance of Wind Turbines Using Finite State Markov Model

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Nowadays the cost effectiveness concept becomes a decision-making and technology evaluation metric. The cost of energy metric accounts for the effect of reliability through levelized replacement cost and unscheduled maintenance cost parameters. One key of the proposed approach is the idea of maintaining the WTs which can be captured via use of a finite state Markov chain. Such a model can be embedded within a probabilistic operation and maintenance simulation reflecting the action to be done. In this paper a finite state Markov model is used for decision problems with number of determined periods (life cycle) to predict the cost according to the option of the maintenance adopted. The minimum cost is taken as the optimal solution.