@article{(Open Science Index):https://publications.waset.org/pdf/10003477,
	  title     = {Maintenance Alternatives Related to Costs of Wind Turbines Using Finite State Markov Model},
	  author    = {Boukelkoul Lahcen},
	  country	= {},
	  institution	= {},
	  abstract     = {The cumulative costs for O&M may represent as
much as 65%-90% of the turbine's investment cost. Nowadays the
cost effectiveness concept becomes a decision-making and
technology evaluation metric. The cost of energy metric accounts for
the effect 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, an approach of estimating the cost of O&M is
presented. The finite state Markov model is used for decision
problems with number of determined periods (life cycle) to predict
the cost according to various options of maintenance.},
	    journal   = {International Journal of Energy and Power Engineering},
	  volume    = {10},
	  number    = {1},
	  year      = {2016},
	  pages     = {69 - 72},
	  ee        = {https://publications.waset.org/pdf/10003477},
	  url   	= {https://publications.waset.org/vol/109},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 109, 2016},
	}