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A COMPOSITE VIBRATION SPECTRUM FOR A MACHINE FOR VIBRATION BASED CONDITION MONITORING

机译:用于基于振动的状态监测的机器的复合振动谱

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Vibration-based condition monitoring requires vibration measurement on each bearing pedestal and then signal processing for all the measured vibration data to identify fault(s), if any, in a rotating machine. Such a large vibration data set makes the diagnosis process complex generally for a large rotating machine supported through a number of bearing pedestals. Hence a new method is proposed in the present research study to construct a single composite spectrum using all the measured vibration data set. This composite spectrum is expected to represent the dynamics of the complete machine assembly and can make fault diagnosis process relatively easier and straightforward. The paper presents the concept of the proposed composite spectrum and the results when applied to a laboratory test rig with different simulated faults.
机译:基于振动的状态监视需要对每个轴承座进行振动测量,然后对所有测得的振动数据进行信号处理,以识别旋转机械中的故障(如果有)。如此大的振动数据集通常对于通过多个轴承座支撑的大型旋转机使诊断过程变得复杂。因此,在本研究中提出了一种新方法,即使用所有测得的振动数据集来构建单个复合频谱。该复合频谱有望代表整个机器组件的动态,并且可以使故障诊断过程相对更加容易和直接。本文介绍了所提出的复合频谱的概念以及将其应用于具有不同模拟故障的实验室测试台时的结果。

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