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New method of data Treatment related to induction machine bearing fault using Axial Vibration Analytic Signal

机译:使用轴向振动分析信号与静电机轴承故障有关的数据处理方法

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This paper deals with a new method called Axial Vibration Analytic Signal applied to Treatment of data for diagnosis the bearing faults of induction motor. This method consists a extracting vibration vectors forms by time-frequency representation. The calculation method based on the cloud points dispersion parameter has two main parts; the first part is the Hilbert transform of axial vibration signals. The second part is the normalization compared to module of AVAS. This method has been applied on the vibration data of a 5.5-kW induction motor test bench.
机译:本文涉及一种新方法,称为轴向振动分析信号,应用于诊断感应电动机轴承故障的数据。该方法包括通过时频表示形式的提取振动矢量。基于云点分散参数的计算方法有两个主要部分;第一部分是轴向振动信号的Hilbert变换。与AVAS模块相比,第二部分是标准化。该方法已应用于5.5千瓦感应电动机测试台的振动数据。

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