Articles | Volume 6, issue 3
Wind Energ. Sci., 6, 949–959, 2021
https://doi.org/10.5194/wes-6-949-2021
Wind Energ. Sci., 6, 949–959, 2021
https://doi.org/10.5194/wes-6-949-2021

Research article 23 Jun 2021

Research article | 23 Jun 2021

Optimal scheduling of the next preventive maintenance activity for a wind farm

Quanjiang Yu et al.

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Cited articles

Andreasson, N., Patriksson, M., and Evgrafov, A.: An introduction to continuous optimization: foundations and fundamental algorithms, Courier Dover Publications, Dover, 2020. a
Browell, J., Dinwoodie, I., and McMillan, D.: Forecasting for day-ahead offshore maintenance scheduling under uncertainty, in: Proceedings of the European Safety and Reliability (ESREL) Conference, September 2016, University of Strathclyde, Strathclyde, 2016. a
Grimmett, G. and Stirzaker, D.: Probability and random processes, Oxford University Press, Oxford, 2020. a
Guo, H., Watson, S., Tavner, P., and Xiang, J.: Reliability analysis for wind turbines with incomplete failure data collected from after the date of initial installation, Reliabil. Eng. Syst. Safe., 94, 1057–1063, 2009. a
Gustavsson, E., Patriksson, M., Strömberg, A.-B., Wojciechowski, A., and Önnheim, M.: Preventive maintenance scheduling of multi-component systems with interval costs, Comput. Indust. Eng., 76, 390–400, 2014. a, b, c, d, e
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Short summary
There are two ways to maintain a multi-component system: corrective maintenance, when a broken component is replaced with a new one, and preventive maintenance (PM), when some components are replaced in a planned manner before they break down. This article proposes a mathematical model for finding an optimal time to perform the next PM activity and selecting the components which should be replaced. The model is fast to solve, and it can be used as a key module in a maintenance scheduling app.