期刊文献+

优化M-SPRT法在管道泄漏检测中的应用 被引量:6

Application of the optimized M-SPRT method in pipeline leakage detection
下载PDF
导出
摘要 用于管道泄漏检测的序贯概率比(SPRT)检验法,存在着备选假设难以确定和易发生检验延迟的缺陷。为此,提出了优化的多序贯概率比(M-SPRT)检验法,以检测各种泄漏所需时间的期望为目标函数来优化备选假设,并在此基础上对判决函数进行改进,同时给出泄漏量估计方法,最后利用Visual C++开发的泄漏检测软件对其进行实现,并使用真实数据验证了方法的可行性和实用性,弥补了常规SPRT法的缺陷,实现了自动、在线、快速地检测泄漏及估计泄漏量的目标。 The Sequential Probability Ratio Test (SPRT) method used for pipeline leakage detection has some disadvantages. For example, it is difficult to identify the alternative hypothesis and it tends to have pipeline leak detection delay problems. Therefore, an optimized method, Multi-Sequential Probability Ratio Test (M-SPRT), is presented, by which alternative hypothesis is optimized through the objective function for detection time expectation, and the decision function is improved. In addition, the leakage estimation method is presented. At last, this method was realized based on leakage detection software developed by Visual C++. Finally, the method is proved to be feasible and practical after verified by real data. It can offset the disadvantages of SPRT and can realize rapid and automatic leakage detection on line and can estimate leakage amount.
作者 李炜 李阳
出处 《天然气工业》 EI CAS CSCD 北大核心 2009年第4期93-95,共3页 Natural Gas Industry
基金 教育部春晖计划(编号:Z2005-1-62001) 兰州理工大学特色学术梯队基金项目(编号:0950)的资助
关键词 管道 泄漏 泄漏检测 序贯概率比 备选假设 VISUAL C++ pipeline, leakage, leak detection, sequential probability ratio test, alternative hypothesis, Visual C++
  • 相关文献

参考文献9

二级参考文献19

  • 1李作新.无损检测的原理和方法[M].云南大学出版社,1986..
  • 2RaoCR 张燮译.线性统计推断及其应用[M].北京:科学出版社,1987.539-582.
  • 3Abdul Hameed, Malhotra V N. Detection of leaks from process pipes [J]. Pipes & Pipelines International, 1999, 44(5): 23-33.?A
  • 4Andrzej J Osiadacz, Maciej Chaczykowski. Comparison of isothermal and non-isothermal pipeline gas flow models [J]. Chemical Engineering Journal, 2001, 81(1): 41-51.
  • 5Thompson W C, Skogman K D. The application of real flow modeling to pipeline leak detection[J]. Journal of Energy Resources Technology, 1983, 105(4):536-541.
  • 6Zhang X J. Statistical leak detection in gas and liquid pipelines [J]. Pipes & Pipelines International, 1993, 38(4):26-29.
  • 7Barrie Wetherill G. Sequential methods in statistics (3rd edition) [M]. London: Chapman & Hall, 1986.
  • 8JamesOBerger 贾乃光.统计决策论及贝叶斯分析[M].北京:中国统计出版社,1998..
  • 9Abdul Hameed, Malhotra V N. Detection of leaks from process pipes [J]. Pipes & Pipelines International, 1999, 44(5): 23-33.
  • 10Andrzej J Osiadacz, Maciej Chaczykowski. Comparison of isothermal and non-isothermal pipeline gas flow models [J]. Chemical Engineering Journal, 2001, 81(1): 41-51.

共引文献51

同被引文献110

引证文献6

二级引证文献44

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部