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An Algorithm of Auto-Update Threshold for Singularity Analysis of Pipeline Pressure

机译：管道压力奇异性分析的自动更新阈值算法

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摘要

A precise auto-update threshold algorithm (AUTA) which imitates the short-term memory of human brain is proposed to search singularities in pipeline pressure signal. According to the characteristics of the pressure signal, the pressure can be divided into two states known as nonsteady state and steady state. The AUTA can distinguish these two states and then choose corresponding method to calculate the dynamic thresholds of pressure variation in real time. Then, the parameters of AUTA are analyzed to determine their values or ranges. Finally, in the simulations to the actual pressure signal from oil pipelines, we verified the effectiveness of AUTA in estimating the dynamic threshold value of pressure.
机译：提出一种模拟人脑短期记忆的精确自动更新阈值算法（AUTA），以搜索管道压力信号中的奇异点。根据压力信号的特性，压力可分为两种状态，称为非稳态和稳态。 AUTA可以区分这两种状态，然后选择相应的方法来实时计算压力变化的动态阈值。然后，分析AUTA的参数以确定其值或范围。最后，在对输油管道实际压力信号的仿真中，我们验证了AUTA在估算压力动态阈值方面的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第3期|495425.1-495425.7|共7页
  • 作者

    Jinhai Liu; Jian Feng; Liang Tan; Dazhong Ma;

  • 作者单位

    School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China;

    School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China;

    School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China;

    School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province 110819, China;

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