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首页> 外文期刊>Journal of Pipeline Systems Engineering and Practice >Small Leak Detection Based on the Combination of Improved Fast Differential Algorithm and Integral Algorithm
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Small Leak Detection Based on the Combination of Improved Fast Differential Algorithm and Integral Algorithm

机译:基于改进的快速差分算法和积分算法的组合小泄漏检测

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摘要

Detecting small leaks in time can prevent an accident from getting worse, which plays an extremely important role in safe pipeline transportation. In order to improve the ability to detect small leaks, this paper proposes a new pipeline leak detection method based on the combination of the improved fast differential algorithm and integral algorithm. This paper first reviews and analyzes the advantages and disadvantages of the fast differential algorithm; on this basis, to further improve the signal-to-noise ratio (SNR) of small leaks and the robustness of the leakage monitoring system, an integral algorithm with adaptive initialization is proposed; Next, to improve the location accuracy of small leaks, historical data are used to estimate the wave speed. The application of actual leakage test data shows that the proposed method can detect a leakage rate of about 0.3%; the false alarm rate is significantly reduced, and the positioning accuracy is improved. All of those verify the effectiveness and practicability of the proposed method.
机译:检测到的小泄漏可以防止事故变得更糟,这在安全的管道运输中起着极其重要的作用。为了提高检测小泄漏的能力,本文提出了一种基于改进的快速差分算法和整体算法的组合的新流水线泄漏检测方法。本文首先评论和分析了快速差分算法的优点和缺点;在此基础上,为了进一步提高小泄漏的信噪比(SNR)和漏电监测系统的鲁棒性,提出了一种具有自适应初始化的积分算法;接下来,为了提高小泄漏的位置准确性,历史数据用于估计波速。实际泄漏测试数据的应用表明,该方法可以检测泄漏率约为0.3%;误报率显着降低,提高了定位精度。所有这些都验证了所提出的方法的有效性和实用性。

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