中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (10): 68-74.doi: 10.16265/j.cnki.issn1003-3033.2017.10.012

• 安全工程技术科学 • 上一篇    下一篇

基于UPM的柴油机冷却系统共因失效分析

古莹奎 教授, 余东平, 张全新   

  1. 江西理工大学 机电工程学院,江西 赣州 341000
  • 收稿日期:2017-07-22 修回日期:2017-09-15 出版日期:2017-10-20 发布日期:2020-11-05
  • 作者简介:古莹奎 (1976—),男,河南南阳人,博士,教授,主要从事可靠性与系统优化方面的研究。E-mail: guyingkui@163.com。
  • 基金资助:
    国家自然科学基金资助(61463021); 江西省青年科学家培养对象计划项目 (20144BCB23037)。

UPM based analysis of common cause failures in diesel engine cooling system

GU Yingkui, YU Dongping, ZHANG Quanxin   

  1. School of Mechanical and Electronical Engineering, Jiangxi University of Science and Technology, Ganzhou Jiangxi 341000, China
  • Received:2017-07-22 Revised:2017-09-15 Online:2017-10-20 Published:2020-11-05

摘要: 为在应用β因子模型分析系统的共因失效时,合理地确定β因子值,提高分析结果的精确性,提出一种基于整合部分法(UPM)的共因失效分析方法。首先,建立系统故障树模型,获取各基本事件的结构重要度并确定共因部件组;然后,建立包含共因失效基本事件的系统故障树模型,并通过筛选分析确定重要的共因失效基本事件,应用UPM确定共因部件相应的β因子值,计算各主要部件以及系统故障发生的概率;最后,以柴油机冷却系统的共因失效分析为例,验证所提方法。结果表明:采用基于UPM的共因失效分析方法可以准确估计β因子值,并能针对共因失效的基本事件精确分析各主要部件共因失效的影响程度。

关键词: 共因失效, 整合部分法(UPM), β因子值, 可靠性, 故障树, 柴油机冷却系统

Abstract: In order to reasonably determine the β factor value required by the β factor model used for analyzing failures in a system and improve the accuracy of the analysis results, a common cause failure analysis method based on UPM was worked out. For working out the method, a system fault tree model was built to obtain the structural importance values of basic events, and to determine the common cause component groups. Then, a system fault tree model containing common cause failure basic events was built and the key common cause failure components were obtained by using the screening analysis method. The β factor values of the common cause components were determined by using UPM to calculate the failure probabilities of the key components and the system. Finally, a case of common cause failure analysis of a certain diesel engine cooling system was done to illustrate the method. Results show that the UPM-based common cause failure analysis method can be used to estimate the β factor value more accurately, and that the method can make an accurate analysis of the influence degree of each of common cause failure basic events on common cause failure of major components.

Key words: common cause failures, unified partial method(UPM), β factor value, reliability, fault tree, diesel engine cooling system

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