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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向链式编码和K-means聚类的束流抽油机井下工作条件诊断

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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:测功机卡是分析抽油机实际运行中井下工作状况的主要方法。针对基于计算机的诊断模式,提出了一种基于16方向链码和K-means聚类的方法。首先,使用16方向链代码来重新创建测功机卡的边界轮廓曲线。然后提取七个可以准确描述曲线区域特征的特征向量。最后,采用K-means聚类算法确定故障类型。仿真实验验证了该方法在诊断准确性和计算时间上均具有较好的有效性。

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