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首页> 外文期刊>Hans Journal of Data Mining >Fault Diagnosis of Screw Pump Based on Correlation and Multi-Order Fitting
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Fault Diagnosis of Screw Pump Based on Correlation and Multi-Order Fitting

机译:基于相关性和多级配件的螺杆泵故障诊断

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摘要

The vibration acceleration of the screw pump at different center frequencies deviates from the normal range, which will cause abnormal vibration of the screw pump. Therefore, the screw pump needs to set different measurement points to detect its vibration acceleration before leaving the factory. For this reason, based on the vibration acceleration of different measurement points of the screw pump under normal operation, this paper applies the Apriori algorithm to obtain the conclusion that there is no significant difference in vibration acceleration between different measurement points of the screw pump and that there is a strong positive correlation. The multi-order fitting method is used to establish the functional relationship between the center frequency and the vibration acceleration of the screw pump. The coefficient vector corresponding to the normal operating parameters is used as a template, and calculate the coefficient distance between the coefficient vector constructed by the operating parameters of the measurement points of the equipment to be diagnosed and the template, then apply statistical methods to design an appropriate threshold to compare with it, and determine the sample to be diagnosed as a fault if and only if the coefficient distance is bigger than the threshold. After practical application, the method in this paper can find the abnormal vibration of the screw pump in time, so as to achieve the purpose of fault diagnosis.
机译:不同中心频率下螺杆泵的振动加速度偏离正常范围,这将导致螺杆泵的异常振动。因此,螺杆泵需要设定不同的测量点以在离开工厂之前检测其振动加速度。因此,基于正常操作的螺杆泵的不同测量点的振动加速度,本文应用了APRIORI算法来获得结论,即螺杆泵的不同测量点之间的振动加速度没有显着差异。存在强烈的正相关性。多阶拟合方法用于建立中心频率与螺杆泵的振动加速度之间的功能关系。与正常操作参数对应的系数矢量用作模板,并计算由要诊断的设备的测量点的操作参数构造的系数矢量之间的系数距离,然后应用统计方法来设计一个与其进行比较的适当阈值,并确定待诊断为故障的样本,如果距离距离大于阈值。实际应用后,本文中的方法可以在时间内找到螺杆泵的异常振动,从而达到故障诊断的目的。

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