...
首页> 外文期刊>Quality and Reliability Engineering International >Reliability assessment for systems suffering common cause failure based on Bayesian networks and proportional hazards model
【24h】

Reliability assessment for systems suffering common cause failure based on Bayesian networks and proportional hazards model

机译:基于贝叶斯网络和比例危害模型的遭受遭受常见原因失败的系统的可靠性评估

获取原文
获取原文并翻译 | 示例
           

摘要

The Bayesian network (BN) is an efficient tool for probabilistic modeling and causal inference, and it has gained considerable attentions in the field of reliability assessment. The common cause failure (CCF) is simultaneous failure of multiple elements in a system under a common cause, and it is a common phenomenon in engineering systems with dependent elements. Several models and methods have been proposed for modeling and assessment of complex systems with CCF. In this paper, a new reliability assessment method is proposed for the systems suffering from CCF in a dynamic environment. The CCF among components is characterized by a BN, which allows for bidirectional reasoning. A proportional hazards model is applied to capture the dynamic working environment of components and then the reliability function of the system is obtained. The proposed method is validated through an illustrative example, and some comparative studies are also presented.
机译:贝叶斯网络(BN)是一个有效的概率建模和因果推断的工具,并且在可靠性评估领域获得了相当大的关注。常见的原因失败(CCF)是在常见原因下系统中多个元素的同时失效,并且它是具有依赖元素的工程系统中的常见现象。已经提出了几种模型和方法,用于使用CCF进行复杂系统的建模和评估。在本文中,提出了一种新的可靠性评估方法,用于动态环境中CCF的系统。组件中的CCF的特征在于BN,其允许双向推理。采用比例危险模型来捕获组件的动态工作环境,然后获得系统的可靠性函数。通过说明性示例验证所提出的方法,还呈现了一些比较研究。

著录项

  • 来源
    《Quality and Reliability Engineering International》 |2020年第7期|2509-2520|共12页
  • 作者单位

    Univ Elect Sci & Technol China Sch Mech & Elect Engn Chengdu Peoples R China|Univ Elect Sci & Technol China Ctr Syst Reliabil & Safety Chengdu 611731 Peoples R China;

    Univ Elect Sci & Technol China Sch Mech & Elect Engn Chengdu Peoples R China|Univ Elect Sci & Technol China Ctr Syst Reliabil & Safety Chengdu 611731 Peoples R China;

    Univ Elect Sci & Technol China Sch Mech & Elect Engn Chengdu Peoples R China|Univ Elect Sci & Technol China Ctr Syst Reliabil & Safety Chengdu 611731 Peoples R China;

    Univ Elect Sci & Technol China Sch Mech & Elect Engn Chengdu Peoples R China|Univ Elect Sci & Technol China Ctr Syst Reliabil & Safety Chengdu 611731 Peoples R China;

    Univ Elect Sci & Technol China Ctr Syst Reliabil & Safety Chengdu 611731 Peoples R China|Univ Elect Sci & Technol China Sch Automat Engn Chengdu Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    common cause failure; dynamic Bayesian network; proportional hazards model; system reliability assessment;

    机译:常见的原因失败;动态贝叶斯网络;比例危险模型;系统可靠性评估;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号