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Diagnosis of Machinery Fault Status using Transient Vibration Signal Parameters

机译:利用瞬态振动信号参数诊断机械故障状态

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摘要

This paper reports the results of an investigation in which a Prony model based method is developed. The method shows potential for analysing transient vibration signals. An example is included that shows how the procedure was employed to analyse the transient vibration signals created from faulty low speed rolling element bearings. Spectral plots generated by applying the procedure to very short data samples, as well as trending parameters based on these spectral estimations and Prony parameters, are presented. An equation was also derived to quantitatively determine the fault status. It is shown that application of the Prony model based method has the potential to b an effective as well as efficient machine condition monitoring and diagnostic tool where short duration transient vibration signals are being generated.
机译:本文报告了调查结果,其中开发了基于Prony模型的方法。该方法显示了分析瞬态振动信号的潜力。包含一个示例,该示例显示了如何使用该程序来分析由低速滚动轴承故障产生的瞬态振动信号。展示了通过将程序应用于非常短的数据样本而生成的光谱图,以及基于这些光谱估计值和Prony参数的趋势参数。还导出了一个方程,以定量确定故障状态。结果表明,基于Prony模型的方法的应用可能会成为一种有效且高效的机器状态监测和诊断工具,其中会产生短时瞬态振动信号。

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