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CONDITION MONITORING IN END-MILLING USING WIRELESS SENSOR NETWORKS (WSNs)

机译:使用无线传感器网络(WSN)监控端铣中的状态

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This paper focuses on the overall potential of wireless sensor nodes and networking in manufacturing environments. A specific case study is described that created the enabling infrastructure for MEMS-accelerometer based monitoring of machine tool vibrations. The focus of the case study was not on vibration analysis per se. Rather, experiments were carried out to show that wireless sensor networks, and their individual wireless sensor platforms, could provide new tools for research in predictive maintenance and condition-based monitoring of factory machinery in general, and for "open-architecture machining systems" in particular. In the tests of the case study, a linear relationship was demonstrated between surface finish, tool wear and vibrations of the machine tool. A MEMS-accelerometer based WSN platform, supported by the WSN, was thus shown to be an easily deployable "retrofit" technology for the identification of such correlations.
机译:本文重点介绍无线传感器节点和制造环境中网络的整体潜力。描述了一个特定的案例研究,该案例为基于MEMS加速度计的机床振动监控创建了启用基础架构。案例研究的重点不是振动分析本身。相反,进行的实验表明,无线传感器网络及其各自的无线传感器平台可以为研究性维护和总体上基于状态的工厂机械监测提供新的工具,并为“开放式结构加工系统”提供新的工具。特定。在案例研究的测试中,证明了表面光洁度,工具磨损和机床振动之间存在线性关系。因此,由WSN支持的基于MEMS加速度计的WSN平台被证明是一种易于部署的“改装”技术,用于识别此类相关性。

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