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Extending the scope of gearbox oil condition monitoring for wind turbines: Identified challenges and recommendations

机译:延长风力涡轮机的变速箱油状况监测范围:确定挑战和建议

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In the case of geared wind turbines, oil condition monitoring (OCM) facilitates the identification of wear-related damage and degradation processes in the oil. OCM can also provide valuable information about the gearbox condition in order to extend oil change intervals by monitoring the oil cleanliness [1]. As the implementation of oil sensors for OCM is in an early stage, this poster presents the results of a testing campaign on an oil sensor test bench. During this testing campaign, several types of sensors including particle counters, oil properties sensors and water content sensors are tested under several operating conditions. The results of this study show the limitations and advantages of offline and online OCM methods, which allows giving recommendations on the choice of oil sensors. Oil aged in a laboratory and oil extracted from wind-turbine gearboxes in the field are used to perform the tests and provide a deeper understanding of the oil aging process occurring in wind turbines.
机译:在齿轮风力涡轮机的情况下,油状况监测(OCM)有助于识别油中的耐磨损伤和降解过程。 OCM还可以提供有关齿轮箱状况的有价值的信息,以便通过监测油清洁性[1]来延长油变化间隔。由于OCM的油传感器的实施处于早期阶段,这篇海报提出了油传感器测试台上的测试活动的结果。在此测试中,在几种操作条件下测试了几种类型的传感器,包括粒子计数器,油质传感器和水含量传感器。本研究的结果显示了离线和在线OCM方法的限制和优点,允许提出有关换油传感器的选择的建议。从该领域的风力涡轮机齿轮箱中提取的实验室和油中的油被用于进行测试,并对风力涡轮机中发生的油老化过程进行更深的了解。

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