• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

应用 Petri 网对海底防喷器系统性能评估。

Application of Petri nets to performance evaluation of subsea blowout preventer system.

机构信息

College of Mechanical and Electronic Engineering, China University of Petroleum, Dongying, Shandong 257061, China.

College of Mechanical and Electronic Engineering, China University of Petroleum, Dongying, Shandong 257061, China.

出版信息

ISA Trans. 2015 Jan;54:240-9. doi: 10.1016/j.isatra.2014.07.003. Epub 2014 Oct 23.

DOI:10.1016/j.isatra.2014.07.003
PMID:25442402
Abstract

This paper presents an application of deterministic and stochastic Petri nets (DSPN) to evaluate the performance of subsea blowout preventer (BOP) system. The overall subsea BOP system is comprised of five mechanical subsystems and five electrical subsystems, which can be viewed as a series-parallel system. In regard to common cause failures, TimeNET 4.0 toolkit is utilized to develop and analyze the DSPN models. Availability and reliability of the subsea BOP system and its subsystems are obtained. Besides, the effects of failure rate and repair time of each component on system performance are researched.

摘要

本文应用确定性和随机 Petri 网 (DSPN) 来评估海底防喷器 (BOP) 系统的性能。海底 BOP 系统由五个机械子系统和五个电气子系统组成,可以看作是一个串并联系统。对于共因失效,使用 TimeNET 4.0 工具包来开发和分析 DSPN 模型。获得了海底 BOP 系统及其子系统的可用性和可靠性。此外,还研究了每个组件的故障率和修复时间对系统性能的影响。

相似文献

1
Application of Petri nets to performance evaluation of subsea blowout preventer system.应用 Petri 网对海底防喷器系统性能评估。
ISA Trans. 2015 Jan;54:240-9. doi: 10.1016/j.isatra.2014.07.003. Epub 2014 Oct 23.
2
Reliability analysis of the electrical control system of subsea blowout preventers using Markov models.基于马尔可夫模型的海底防喷器电气控制系统可靠性分析
PLoS One. 2014 Nov 19;9(11):e113525. doi: 10.1371/journal.pone.0113525. eCollection 2014.
3
Real-time reliability evaluation methodology based on dynamic Bayesian networks: A case study of a subsea pipe ram BOP system.基于动态贝叶斯网络的实时可靠性评估方法:海底管道闸板防喷器系统的案例研究。
ISA Trans. 2015 Sep;58:595-604. doi: 10.1016/j.isatra.2015.06.011. Epub 2015 Jul 10.
4
Development of an automatic subsea blowout preventer stack control system using PLC based SCADA.基于 PLC 的 SCADA 的自动海底防喷器组控制系统的开发。
ISA Trans. 2012 Jan;51(1):198-207. doi: 10.1016/j.isatra.2011.08.003. Epub 2011 Sep 1.
5
Application of Bayesian networks in quantitative risk assessment of subsea blowout preventer operations.贝叶斯网络在海底防喷器作业定量风险评估中的应用。
Risk Anal. 2013 Jul;33(7):1293-311. doi: 10.1111/j.1539-6924.2012.01918.x. Epub 2012 Oct 29.
6
Influence of Top Seal Damage on Contact Seal in Ram Blowout Preventer.闸板防喷器顶部密封损坏对接触密封的影响
Materials (Basel). 2023 Apr 27;16(9):3413. doi: 10.3390/ma16093413.
7
Buried Defect Detection Method for a Blowout Preventer Seal Ring Groove Based on an Ultrasonic Phased Array.基于超声相控阵的防喷器密封环槽埋藏缺陷检测方法
Materials (Basel). 2022 Sep 16;15(18):6429. doi: 10.3390/ma15186429.
8
Hierarchical time-extended Petri nets (H-EPNs) based error identification and recovery for multilevel systems.基于分层时间扩展Petri网(H-EPNs)的多级系统错误识别与恢复
IEEE Trans Syst Man Cybern B Cybern. 1996;26(1):164-75. doi: 10.1109/3477.484450.
9
Fuzzy multimodel of timed Petri nets.定时Petri网的模糊多模型
IEEE Trans Syst Man Cybern B Cybern. 2001;31(2):245-51. doi: 10.1109/3477.915347.
10
Threat driven modeling framework using petri nets for e-learning system.使用Petri网的面向电子学习系统的威胁驱动建模框架。
Springerplus. 2016 Apr 14;5:446. doi: 10.1186/s40064-016-2101-0. eCollection 2016.