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Current Noise Cancellation for Bearing Fault Diagnosis Using Time Shifting

机译:利用时移消除电流噪声以进行轴承故障诊断

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The stator current of a typical induction motor involves the supply fundamental and its harmonics existing before and after the presence of a bearing defect, and much of the information they contain is not related to the bearing defect. In this sense, they are basically noise to bearing fault diagnosis problem. This paper develops a current noise cancellation method using time shifting. Current residue is obtained by adding digital current signal to its own sample-delayed representation as an antinoise component. The amount of the sample delay is only dependent upon the supply frequency and the sampling rate. This amount is set to eliminate the supply fundamental and its odd multiple harmonics. After obtaining the current residue, through the spectral analysis of the envelope of the current residue, the characteristic fault frequencies for a defective bearing can be revealed. To show the superiority, the developed method is experimentally compared with three of the current-based methods in the literature. Experimental results for the defects in the outer raceway, the inner raceway, and the ball of a bearing verify the merits and effectiveness of the developed method.
机译:典型的感应电动机的定子电流涉及轴承缺陷出现之前和之后的电源基波及其谐波,并且它们包含的许多信息与轴承缺陷无关。从这个意义上讲,它们基本上是轴承故障诊断问题的噪音。本文开发了一种使用时移的电流噪声消除方法。通过将数字电流信号添加到其自身的采样延迟表示中作为抗噪声分量,可获得电流残留。采样延迟量仅取决于电源频率和采样率。设置该量可消除电源基波及其奇数次谐波。在获得当前残差之后,通过对当前残差的包络线进行频谱分析,可以揭示出轴承故障的特征故障频率。为了显示其优越性,将实验方法与文献中基于电流的三种方法进行了实验比较。对外滚道,内滚道和轴承滚珠缺陷的实验结果证明了该方法的优点和有效性。

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