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Investigation of data fusion applied to health monitoring of wind turbine drivetrain components

机译:数据融合在风力发电机组传动系统健康监测中的研究

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The research described was performed with diagnostic tools used to detect damage to dynamic mechanical components in a wind turbine gearbox. Different monitoring technologies were evaluated by collecting vibration and oil-debris data from tests performed on both a 'healthy' gearbox and a damaged gearbox that were mounted on a dynamometer test stand at the National Renewable Energy Laboratory (NREL). The damaged gearbox tested had been removed from the field after it experienced component damage because of two events that resulted in the loss of oil. The gearbox was re-tested under controlled conditions by using the NREL dynamometer test stand. Preliminary results indicate that oil-debris and vibration data can be integrated to improve the assessment of the health of the wind turbine gearbox.
机译:所描述的研究是使用诊断工具进行的,该工具用于检测风力涡轮机变速箱中动态机械组件的损坏。通过收集在“健康”齿轮箱和损坏的齿轮箱上进行的测试中收集的振动和油屑数据,评估了不同的监测技术,这些齿轮箱安装在国家可再生能源实验室(NREL)的测功机测试台上。经过测试的受损变速箱在经历部件损坏后已从现场移出,原因是这两次事故导致机油损失。使用NREL测功机测试台在受控条件下对变速箱进行了重新测试。初步结果表明,可以整合油屑和振动数据,以改善对风力涡轮机变速箱健康状况的评估。

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