西南石油大学学报(自然科学版) ›› 2007, Vol. 29 ›› Issue (3): 157-159.DOI: 10.3863/j.issn.1000-2634.2007.03.043

• 石油机械工程及其它 • 上一篇    下一篇

腐蚀在线监测系统可靠性研究

向敏1 李长俊1 廖柯熹1 杨毅2

  

  1. (1. 西南石油大学石油工程学院,四川 成都 610500; 2. 西南油气田分公司)
  • 收稿日期:2006-05-29 修回日期:1900-01-01 出版日期:2007-06-20 发布日期:2007-06-20
  • 通讯作者: 向敏

RELIABILITY OF ONLINE CORROSION MONITORING SYSTEM

XIANG Min 1 LI Chang-jun 1 LIAO Ke-xi 1 et al.

  

  1. (Southwest Petroleum University,Sichuan Chengdu 610500,china)
  • Received:2006-05-29 Revised:1900-01-01 Online:2007-06-20 Published:2007-06-20

摘要: 由于腐蚀带来的严重经济损失以及人员伤亡问题的日趋突出,腐蚀在线监测作为一种在不影响系统正常运行的情况下,对设备的腐蚀速度和某些与腐蚀速度有关的参数进行连续测量的技术得到了很快的发展,在国内石油化工企业中,该技术的研究及应用已成为一个重要课题。研究了两种腐蚀在线监测系统的结构特点和流程,介绍了三种典型的系统可靠性模型:串联系统可靠性模型、并联系统可靠性模型和混合结构系统可靠性模型,并选用混合结构系统对两种腐蚀在线监测系统进行了分析。在此基础上,建立了腐蚀在线监测系统的可靠性模型,该模型既可用于预测系统备选监测设备的可靠性,也可以用于评估运行中的在线监测系统的可靠性。最后以一算例对部分腐蚀监测系统的可靠度、总失效率和平均寿命进行了计算,对生产实际具有一定的指导意义。

关键词: 腐蚀, 在线监测, 结构, 可靠性, 模型

Abstract: The corrosion is resulting in serious economic loss and casully, the online corrosion monitoring, a new technology continuous ly measuring the speed of corrosion and the parameters related to the speed without impacting the normal operation of the system, is developped quickly. In demestic petrochmical enterprises, research and application of the technology become an important issue. Authors of the paper research the structure characteristic and pattern of two types of online corrosion monitoring systems, introducce three typical reliability models of system, i,e., reliability model of series system, reliability model of parallel system and reliability model of mixed structural system, and the last one is selected to analyze two types of online corrosion monitoring. On the basis of it, the reliabiltiy model of online corrosion monitoring system is established, the model can be used both to forcast the reliability of the standing up system monitoring facilities, andevaluate the reliability of online monitoring system in operation. At last, a case is presented to calculate the reliability, total rate of failure and average working time of some on0line corrosion monitoring systems.

Key words: corrosion, on line monitoring, structure, reliability, model

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