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%0 Thesis %A Loriemi, Amin %T Monitoring von Hauptlagerlasten in Windenergieanlagen %I Rheinisch-Westfälische Technische Hochschule Aachen %V Dissertation %C Aachen %M RWTH-2025-10775 %P 1 Online-Ressource : Illustrationen %D 2025 %Z Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2026 %Z Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2025 %X The main bearing loads of wind turbines are not monitored as standard. To date, there is no economical and validated method for this. However, knowledge of these loads can help to reduce the levelized cost of energy for wind turbines. By knowing the main bearing loads, the lifetime of the main bearings can be calculated. By proving that the bearings have a sufficient remaining lifetime, it is possible to continue operating the wind turbine beyond the planned lifetime without expensive bearing replacements. After examining the advantages and disadvantages of various concepts, a load estimation system based on displacement signals was selected. This system was developed and validated through test bench experiments. Suitable displacement signals for load estimation were identified through correlation analyses. Various regression models were investigated. These models were first trained with test bench measurements. In comparison, linear regression was identified as the preferred regression model due to its simplicity and sufficient accuracy. An alternative and more economical development of the regression models based on physical simulations of the rotor suspension was considered. It was found that detailed FEM modelling is required to achieve the necessary accuracy. Simplified models were insufficient. Nevertheless, not all main bearing load components could be determined with the required accuracy. In addition, sensitivity analyses carried out showed that uncertainties in the model parameters represent significant sources of error. A main bearing load estimation using displacement signals is possible with a co-efficient of determination between 0.83 and 0.9. A subsequent bearing lifetime estimation results in an error of up to 19 %F PUB:(DE-HGF)11 %9 Dissertation / PhD Thesis %R 10.18154/RWTH-2025-10775 %U https://publications.rwth-aachen.de/record/1023832