- Report
- Solar and Wind
Bayesian Methods for Preventive Maintenance

Maintenance of wind farms can be systematically categorized as preventive, corrective, and condition based maintenance. Most of the major the operation and maintenance costs are dominated by corrective maintenance. To reduce these costs it is necessary to lower the amount of corrective maintenance uncertainty.
To reduce the operation and maintenance costs it is necessary to lower the amount of corrective maintenance by shifting some parts of strategy to preventive maintenance which is achieved in this project by employing Bayesian adaptive approaches that employs newly arrived data to update predictions. The approach has simplicity in its implementation for any engineer with statistics background while its implementation is quick, simple and cheap in comparison to methods that are dependent on model of the specific technology.
Publications and reports
Here you will find reports and fact sheets from the program.
- Report
System and Integration Costs 2021-801
In this report, we have studied the possibilities and challenges of estimating total system costs for a future power system and also the definition and estimation of integration costs.
|2021:801Lennart Söder
- Report
Bayesian Methods for Preventive Maintenance
The context of this research is about the simple idea of assessing the optimal time for preventive maintenance based on available information to us from SCADA data of wind turbines. The approach is quantitative, measurable and repeatable. As a result, the contexts of these results belong in reliability and safety engineering and preventive maintenance of wind turbines.
|2018:484Bahri Uzunoğlu
- Report
Analysis of Vacuum Breaker Generated Transients in a 36kV Wind Farm Cable Grid
In this project it is investigated how the high frequency transients (HF) in a cable grid influence connected equipment. Both generation and propagation as well as protection is studied.
|2018:502Tarik Abdulahovic
- Report
Wind Power In Forests II
Sweden has good conditions for wind power. However, most of Sweden (ca. 70%) is covered by forest. Forests decrease wind speeds and create turbulence, something which is not favourable for wind power.
|2018:499Matthias Mohr, Johan Arnqvist, Hamidreza Abedi, Henrik Alfredsson, Magnus Baltscheffsky, Hans Bergström, Ingemar Carlen, Lars Davidson, Antonio Segalini och Stefan Söderberg