贝叶斯更新技术在石化装置气体\泄漏频率分析中的应用研究
Study of Bayesian update technique in the analysis of gas leak frequency in petrochemical equipment}% itleENG{Bayesian analysis for leak frequency of generic gas in petrochemical equipment
石化气体在贮存或运输过程中因其装载的设备(或其部件)的损坏可能引起气体的泄漏,从而会产生非常严重的后果；如何整合这些设备的泄漏频率数据并对其进行有效的统计分析是一个非常重要和实际意义的课题. 本文旨在不考虑气体压力的前提下,采用贝叶斯方法内存的更新技术来分析装载石化气体的设备的泄漏频率与泄漏面积的关系.
Petrochemical gas in storage or during transport may cause gas leakage due to the damage of its loading equipment (or parts of it), which will cause serious consequences. How to combine the leakage frequency data of these equipment and do effective statistical analysis is a very important and meaningful topic. In this paper, without considering the gas pressure, we use Bayesian method to analyze the relationship between leakage frequency and leakage area for the load generic gas equipment.
管强、汤银才、王全国
石油天然气加工石油天然气储运石油机械设备
贝叶斯分析泄漏频率泄漏面积石化气体
Bayesian analysis Leakage frequency Leakage area Petrochemical gas.
管强,汤银才,王全国.贝叶斯更新技术在石化装置气体\泄漏频率分析中的应用研究[EB/OL].(2014-08-08)[2025-08-23].http://www.paper.edu.cn/releasepaper/content/201408-78.点此复制
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