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LBM²: Load Based Monitoring and Maintenance

Optimization of the operation of onshore wind turbines by a load guided monitoring system utilizing torque sensors.

The aim of the research project "LBM²" is the development of a low-cost and easy-to-use wind turbine (WT) monitoring system to optimize the operation and maintenance planning of the entire wind farm. To achieve the project aim, a new low-cost load measurement system is installed in eight turbines in a farm, to measure rotor loads for the duration of one year. Subsequently, models to calculate remaining useful lifetime (RUL) of the components, such as main bearing and gear box components, are developed and evaluated, based on the measurement data. Based on fatigue models, RUL for individual components are estimated, to be used to derive predictive maintenance measures. For this purpose, a software demonstrator is developed in the project. It will integrate the additional RUL information into the existing maintenance processes and conduct a financial evaluation. That way the operators receive suitable and user-friendly information, which allows them to initiate predictive operation and maintenance measures, increase the overall equipment effectiveness or the turbine and reduce cost for direct and indirect cost for unscheduled repairs.

Contact:

Tim Runkel, M.Sc.
Email: tim.runkel@cwd.rwth-aachen.de
Phone: +49 241 80 96407

Duration:

01.05.2018 - 30.04.2020

Project funded by:

Das IGF-Vorhaben 20028 N der Forschungsvereinigung FIR e. V. an der RWTH Aachen, Campus-Boulevard 55, 52074 Aachen wird über die AiF im Rahmen des Programms zur Förderung der industriellen Gemeinschaftsforschung (IGF) vom Bundesministerium für Wirtschaft und Energie aufgrund eines Beschlusses des Deutschen Bundestages gefördert.

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