期刊文献+

基于IRML-STAMP的舰船加油系统风险因素识别方法

Risk factor identification method of ship refueling system based on IRML-STAMP
下载PDF
导出
摘要 为研究舰船加油系统遭受外界干扰后的系统功能状态变化情况和系统自身恢复能力,基于IRML-STAMP方法对舰船加油系统风险因素进行识别,定量评估舰船加油系统动态弹性,并与基于传统STAMP方法的评估结果进行比较。结果表明:利用基于IRML-STAMP的舰船加油系统风险因素识别方法可以精确找出失效后导致舰船加油系统动态弹性损失最多的STAMP模型的关键节点;以舰船加油系统加油作业设定故障场景为例,压力表等仪表是该系统的关键节点,压力表等仪表故障中断后,系统动态弹性大幅下降0.161;当故障传播路径中不包含关键节点时,系统动态弹性最大,当干扰出现在关键节点时,系统动态弹性最小,差值为0.101;与传统STAMP方法相比,IRML-STAMP方法评估结果可以准确定位系统风险,提高系统动态弹性。该研究结果可以帮助提高舰船加油系统的抗干扰性,对现场舰船加油系统的风险因素识别具有指导意义。 In order to study the changes in the functional state of the ship refueling system after external interference and its own recovery ability,the IRML-STAMP method was used to identify the risk factors of the ship refueling system,quantitatively evaluate the dynamic resilience of the ship refueling system,and compare the results with those based on traditional STAMP methods.The results show that the IRMLSTAMP method can accurately identify the key nodes of the STAMP model that cause the maximum dynamic resilience loss of the ship refueling system after failure.Taking the fault scenario of the refueling operation setting in the ship refueling system as an example,the pressure gauge and other instruments are the key nodes of the system.After the interruption of the pressure gauge and other instruments,the dynamic resilience of the system significantly decreases by O,161.When the fault propagation path does not include critical nodes,the system has the maximum dynamic resilience.When interference occurs at critical nodes,the system has the minimum dynamic resilience,with a difference of 0.101.Compared with traditional methods,this result can accurately locate system risks and improve system dynamic resilience.The result can help improve the anti-interference ability of ship refueling systems and has guiding significance for identifying risk factors in on-site ship refueling systems.
作者 胡婕 胡瑾秋 胡靖 王松波 肖尚蕊 徐康凯 石建成 HU Jie;HU Jinqiu;HU Qing;WANG Songbo;XIAO Shangrui;XU Kangkai;SHI Jiancheng(Systems Engineering Research Institute,CSSC,Beijing 100094,China;College of Safety and Ocean Engineering,China University of Petroleum(Beijing),Beijing 102249,China)
出处 《安全与环境工程》 CAS CSCD 北大核心 2024年第2期51-61,99,共12页 Safety and Environmental Engineering
基金 国家自然科学基金项目(52074323) 中石油战略合作科技专项(ZLZX2020-05-02)。
关键词 舰船加油系统 风险因素识别 动态弹性定量评估 故障传播 IRML-STAMP方法 ship refueling system risk factor identification quantitative assessment of dynamic resilience fault propagation IRML-STAMP method
  • 相关文献

参考文献7

二级参考文献54

共引文献12

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