Abstract
Development of cost-effective and accurate methods are crucial for operational condition monitoring of wind turbine blade bearings. Based on the Theory of Sampling (TOS), a novel method for acquiring representative samples of lubricating grease from in-service wind turbine blade bearings has been developed over the last 10 years, in some respects similar to “on-line” PAT approaches used for continuous process sampling. The new method is compared and evaluated to a comprehensive, fully TOS-compliant refence sampling performed on dismantled bearings, which is a complete analogue to “stopped belt” reference sampling. Three case studies are reported with which to illustrate the merits of the new wind turbine bearing condition monitoring method, which is needed in the rapidly developing renewable CO2-free energy supply chain. Seen in the context of the currently much accelerated need for a massive green transition, the market prospects for this wind turbine process sampling approach can hardly be overestimated.
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