基于修正系数法的复杂设备可靠性预测及敏感性分析方法  

Reliability Prediction and Sensitivity Analysis Method for Complex Equipment Based on the Correction-factor Method

在线阅读下载全文

作  者:汤文斌 周苏婷 张林[1,2] 芦丽莉[1] 徐少峰 TANG Wen-bin;ZHOU Su-ting;ZHANG Lin;LU Li-li;XU Shao-feng(Nuclear Power Institute of China,Chengdu 621000,Sichuan,China;State Key Laboratory of Advanced Nuclear Energy Technology,Nuclear Power Institute of China,Chengdu 621000,Sichuan,China)

机构地区:[1]中国核动力研究设计院,四川成都621000 [2]中国核动力研究设计院先进核能技术全国重点实验室,四川成都621000

出  处:《阀门》2025年第2期144-148,共5页Chinese Journal of Valve

基  金:技术基础项目JSZL2021201A001。

摘  要:反应堆系统的安全性能依赖于堆内设备的可靠运行,电动闸阀则是堆内复杂设备的典型代表。本文基于修正系数法,提出了一种适用于复杂设备的可靠性预测方法。首先针对主要组成部件,基于修正系数方法建立其失效率预测模型,在此基础上结合NSWC手册以及电动闸阀实际运行数据构建电动闸阀整机可靠性模型,并基于三维可视化方法对整机可靠性指标进行温度敏感性分析。结果表明,该方法能够有效获取电动闸阀失效率指标,覆盖传动部件与静压部件的可靠性预测需求,且闸阀可靠性对于主轴承及滚珠丝杠温度应力有着较高的敏感性。The safety performance of the reactor system depends on the reliable operation of the equipment in the reactor,and the electric gate valve is a typical representative of the complex equipment in the reactor.Based on the correction coefficient method,this paper proposes a reliability prediction method for complex equipment.Firstly,the failure rate prediction model of the main components is established based on the correction coefficient method.On this basis,the reliability model of the electric gate valve is constructed by combining the NSWC manual and the actual operation data of the electric gate valve,and the temperature sensitivity analysis of the reliability index of the whole machine is carried out based on the three-dimensional visualization method.The results show that this method can effectively obtain the failure rate index of the electric gate valve,cover the reliability prediction requirements of the transmission parts and the static pressure parts,and the reliability of the gate valve has a high sensitivity to the temperature stress of the main bearing and the ball screw.

关 键 词:电动闸阀 可靠性预测 修正系数法 敏感性分析 

分 类 号:TH134[机械工程—机械制造及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象