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Petroleum Pumps’ Current and Vibration Signatures Analysis Using Wavelet Coherence Technique

机译:小波相干技术分析石油泵的电流和振动特征

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摘要

Vibration analysis is widely used for rotating machinery diagnostics; however measuring vibration of operational oil well pumps is not possible. The pump’s driver’s current signatures may provide condition-related information without the need for an access to the pump itself. This paper investigates the degree of relationship between the pump’s driver’s current signatures and its induced vibration. This relationship between the driver’s current signatures (DCS) and its vibration signatures (DVS) is studied by calculating magnitude-squared coherence and phase coherence parameters at a certain frequency band using continuous wavelet transform (CWT). The CWT coherence-based technique allows better analysis of temporal evolution of the frequency content of dynamic signals and areas in the time-frequency plane where the two signals exhibit common power or consistent phase behaviour indicating a relationship between the signals. This novel approach is validated by experimental data acquired from 3 kW petroleum pump’s driver. Both vibration and current signatures were acquired under different speed and load conditions. The outcomes of this research suggest the use of DCS analysis as reliable and inexpensive condition monitoring tool, which could be implemented for oil pumps, real-time monitoring associated with condition-based maintenance (CBM) program.
机译:振动分析被广泛用于旋转机械诊断。但是,无法测量运行中的油井泵的振动。泵的驾驶员当前签名可以提供与状况相关的信息,而无需访问泵本身。本文研究了泵的驾驶员当前信号与其引起的振动之间的关系程度。通过使用连续小波变换(CWT)在特定频带上计算幅度平方相干性和相位相干性参数,研究了驾驶员当前信号(DCS)与振动信号(DVS)之间的关系。基于CWT相干性的技术可以更好地分析动态信号的频率内容的时间演变以及时频平面中的两个信号表现出共同的功率或一致的相位行为(指示信号之间的关系)的区域。这种新颖的方法已从3 kW石油泵驱动器获得的实验数据得到验证。在不同的速度和负载条件下均获得了振动和电流信号。这项研究的结果表明,将DCS分析用作可靠且廉价的状态监视工具,可以将其用于油泵,与基于状态的维护(CBM)程序相关的实时监视。

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