Optimal preventive maintenance scheduling for wind turbines under condition monitoring
Preprint, 2021

We suggest a mathematical model for computing and regularly updating the next preventive maintenance plan for a wind farm. Our optimization criterium takes into account the current ages of the key components, the major maintenance costs including eventual energy production losses as well as the available data monitoring the condition of the wind turbines. We illustrate our approach with a case study based on data collected from several wind farms located in Sweden. Our results show that preventive maintenance planning gives some effect, if the wind turbine components in question live significantly shorter than the turbine itself.

Linear programming

Wind turbine

Preventive maintenance

Weibull survival function

Cox proportional hazards


Quanjiang Yu

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Pramod Bangalore

Chalmers, Computer Science and Engineering (Chalmers)

Sara Fogelström

Chalmers, Electrical Engineering, Electric Power Engineering, Power grids and Components

Serik Sagitov

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Site-Adaptive Analysis Methods to Predict and Enhance Lifetime of Wind Turbines

Swedish Wind Power Technology Center (SWPTC), 2019-07-01 -- 2022-12-31.

Driving Forces

Sustainable development

Subject Categories

Computational Mathematics

Reliability and Maintenance

Areas of Advance


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