Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

Towards quantification of condition monitoring benefit for wind turbine generators

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.

[img]
Preview
PDF (Towards Quantification of Condition Monitoring)
ewec07_mcmillan.pdf - Accepted Author Manuscript

Download (516kB) | Preview

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.