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A Data Acquisition Platform for the Development of a Wind Turbine Condition Monitoring System

机译:开发风机状态监测系统的数据采集平台

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Often condition monitoring (CM) system developers use simulation or test rig data due to a lack of actual wind turbine measurements however, this data may not necessarily reflect processes happening in the real turbine application. In order to determine different patterns of machinery deterioration, precise data of existing parameters at higher sampling frequencies up to 20 kHz is needed. Additional parameters, not currently commonly monitored, like turbine vibration or tower movement, are also desired. In this paper the design of a data acquisition (DAQ) platform to be mounted on a 660kW Vestas V47 wind turbine is presented. The requirements and limitations of the data acquisition application are discussed. A detailed explanation of the data acquisition program developed in LabVIEW as well as the possibilities for remotely controlling this process are given. Finally, different methodologies for handling, storing and accessing large volumes of data are presented with the authors' optimal solution highlighted.
机译:由于缺乏实际的风力涡轮机测量结果,状态监测(CM)系统开发人员通常会使用模拟或测试台架数据,但是,此数据可能不一定反映实际涡轮机应用程序中发生的过程。为了确定机械劣化的不同模式,需要在高达20 kHz的更高采样频率下精确获取现有参数的数据。还需要当前未普遍监测的其他参数,例如涡轮机振动或塔架运动。本文介绍了将安装在660kW Vestas V47风力涡轮机上的数据采集(DAQ)平台的设计。讨论了数据采集应用程序的要求和局限性。给出了在LabVIEW中开发的数据采集程序的详细说明,以及对该程序进行远程控制的可能性。最后,介绍了用于处理,存储和访问大量数据的不同方法,并着重介绍了作者的最佳解决方案。

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