Towards quantification of condition monitoring benefit for wind turbine generators

David Mcmillan, G.W. Ault

Research output: Contribution to conferencePaper

13 Citations (Scopus)
261 Downloads (Pure)

Abstract

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
Pages1-11
Number of pages11
Publication statusPublished - 10 May 2007
EventEuropean Wind Energy Conference & Exhibition 2007 - Milan, Italy
Duration: 7 May 200710 May 2007

Conference

ConferenceEuropean Wind Energy Conference & Exhibition 2007
Abbreviated titleEWEC 2007
CountryItaly
CityMilan
Period7/05/0710/05/07

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Keywords

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

Cite this

Mcmillan, D., & Ault, G. W. (2007). Towards quantification of condition monitoring benefit for wind turbine generators. 1-11. Paper presented at European Wind Energy Conference & Exhibition 2007, Milan, Italy.