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Comments on 'Bayesian Update and Method of Distributions: Application to Leak Detection in Transmission Mains' by Alawadhi and Tartakovsky

机译:评论'贝叶斯更新和分布方法:Alawadhi和Tartakovsky的传输电源泄漏检测

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摘要

In a recent paper (Alawadhi & Tartakovsky, 2020, ), Alawadhi and Tartakovsky proposed an interesting, novel, efficient, and potentially powerful Bayesian-based approach to cope with the uncertainty in initial flow velocity when using transient waves to detect leaks in pressurized pipes. In this discussion, we illustrate that the uncertainty in initial flow velocity has negligible effect on the accuracy of transient-based leak detection methods. On the other hand, uncertainties in the wave speed have significant effects on the leak detection accuracy. Unfortunately, it appears that the proposed approach cannot be easily, if at all, extended to deal with uncertainties in wave speed and one may have to resort to classical Bayesian approaches which could be computationally intensive.
机译:在最近的一篇论文中(Alawadhi&Tartakovsky,2020,),Alawadhi和Tartakovsky提出了一种有趣,新颖,有效,潜在的强大的贝叶斯的方法,以应对初始流速时的不确定性,当使用瞬态波检测加压管中的泄漏时 。 在本讨论中,我们说明初始流速的不确定性对基于瞬态泄漏检测方法的准确性效果可忽略不计。 另一方面,波速的不确定性对泄漏检测精度具有显着影响。 遗憾的是,似乎拟议的方法不能轻易,如果延伸到处理波速的不确定性,也可能不得不诉诸古典贝叶斯方法,这可能是计算密集的。

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    《Water resources research》 |2020年第2期|e2020WR027945.1-e2020WR027945.3|共3页
  • 作者单位

    Beihang Univ Sch Reliabil & Syst Engn Key Lab Reliabil & Environm Engn Technol Beijing Peoples R China;

    Hong Kong Univ Sci & Technol Dept Civil & Environm Engn ClearWater Bay Hong Kong Peoples R China;

    Hong Kong Univ Sci & Technol Dept Civil & Environm Engn ClearWater Bay Hong Kong Peoples R China;

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