Mcmillan, David and Ault, G.W. (2007) Towards quantification of condition monitoring benefit for wind turbine generators. In: European Wind Energy Conference & Exhibition 2007, 2007-05-07 - 2007-05-10, Milan.
PDF (Towards Quantification of Condition Monitoring)
ewec07_mcmillan.pdf - Submitted Version
Download (516kB) | Preview
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.
|Item type:||Conference or Workshop Item (Paper)|
|Keywords:||condition monitoring , probabilistic model , Monte Carlo Markov chains, wind turbine generators, Electrical engineering. Electronics Nuclear engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||12 Jan 2012 15:34|
|Last modified:||24 Jul 2015 10:43|
Actions (login required)