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基于BP神经网络原理的长输管道泄漏点定位及其实验研究

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Date of Publication:2022-10-10

Journal:工程力学

Volume:27

Issue:8

Page Number:169-173

ISSN No.:1000-4750

Abstract:Research work based on pressure gradient method shows that the location
   of leakage depends on the friction factor. And the traditional methods
   using the friction coefficient are not suitable for determining the
   leakage location of running pipelines. The method to locate leak point
   is put forward based on BP neural network forecasting friction
   coefficient. The BP neural network forecasting friction factor is
   determined from the average flow rate before and after leakage
   occurrence. Experimental results confirm that this method can
   effectively forecast the friction coefficient and reasonably locate the
   leak point of long-distance pipeline

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