Towards quantification of condition monitoring benefit for wind turbine generators

David Mcmillan, G.W. Ault

Research output: Contribution to conferencePaperpeer-review

16 Citations (Scopus)
265 Downloads (Pure)


Condition monitoring systems are increasingly installed in wind turbine generators with the goal of providing component-specific information to the wind farm operator and hence increase equipment availability through maintenance and operating actions based on this information. In some cases, however, the economic benefits of such systems are unclear. A quantitative measure of these benefits may therefore be of value to utilities and O&M groups involved in planning and operating wind farm installations. The development of a probabilistic model based on discrete-time Markov Chain solved via Monte Carlo methods to meet these requirements is illustrated. Potential value is demonstrated through case study simulations.
Original languageEnglish
Number of pages11
Publication statusPublished - 10 May 2007
EventEuropean Wind Energy Conference & Exhibition 2007 - Milan, Italy
Duration: 7 May 200710 May 2007


ConferenceEuropean Wind Energy Conference & Exhibition 2007
Abbreviated titleEWEC 2007


  • condition monitoring
  • probabilistic model
  • Monte Carlo Markov chains
  • wind turbine generators


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