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Diagnose for downhole working conditions of the beam pumping unit based on 16-directions chain codes and K-means clustering method

机译:基于16方向链码和K均值聚类方法的束泵单元的井下工作条件诊断

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The dynamometer card is a main method to analyze downhole working conditions of the beam pumping unit in actual operation. For computer based diagnosis mode, a method based on 16-directions chain codes and K-means clustering is proposed in this paper. First, the 16-directions chain codes are used to recreate boundary contour curve of the dynamometer card; then seven feature vectors which can accurately describe regional characteristics of the curve are extracted; and finally, K-means clustering algorithm is used to determine the fault type. Simulation experiments verify that the proposed method has better effectiveness both in diagnosis accuracy and computation time.
机译:测功机卡是在实际操作中分析束泵单元的井下工作条件的主要方法。对于基于计算机的诊断模式,本文提出了一种基于16方向链码和K均值聚类的方法。首先,16方向链码用于重新创建测功率卡的边界轮廓曲线;然后提取七个能够准确描述曲线区域特征的特征向量;最后,k-means聚类算法用于确定故障类型。仿真实验验证所提出的方法在诊断精度和计算时间方面具有更好的效果。

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