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A New Method of Artificial Neural Network to Identify Dynamometer Card

机译:人工神经网络识别测功机卡的新方法

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摘要

In this paper, a program was presented that can be used as a new method which of "Shape Center Distance (SCD)" developed for automatic analysis of pump cards to identify malfunction using down hole pump cards. The program utilizes three- layers artificial neural networks(ANN) for analyzing a given pump card. The network was trained using 21 pump cards. Total of 30 points representing sampled values and derivatives at different intervals of the pump cards were used as input data for the network. The trained network was tested using four new pump cards. The network correctly classified malfunction associated with each pump card.
机译:在本文中,提出了一个程序,该程序可用作“形状中心距离(SCD)”的一种新方法,该程序可用于自动分析泵卡以识别使用井下泵卡的故障。该程序利用三层人工神经网络(ANN)来分析给定的泵卡。该网络使用21个泵卡进行了培训。将代表泵浦卡不同间隔处的采样值和导数的总共30个点用作网络的输入数据。使用四个新的泵卡对经过训练的网络进行了测试。网络正确分类了与每个泵卡相关的故障。

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