Design and Risk Evaluation of Reliability Demonstration Test for Hierarchical Systems With Multilevel Information Aggregation
Design and Risk Evaluation of Reliability Demonstration Test for Hierarchical Systems With Multilevel Information Aggregation
复制标题
多级信息聚合的分层系统可靠性验证试验设计与风险评估
DOI：
10.1109/tr.2016.2619689
复制
发表时间：
2017-03
影响因子：
5.9
通讯作者：
Jian Liu
中科院分区：
文献类型：
--
作者：
Weidong Zhang;Qingpei Hu;Huairui Guo;Jian Liu
随着许多工程系统对可靠性要求的提高，传统的基于故障次数的系统可靠性论证试验(SRDT)依赖于大样本的系统单元。然而，对于许多安全关键系统，如导弹，用大样本进行这样的测试是令人望而却步的。为了减少样本大小，现有的SRDT方法使用系统级或组件级的测试数据。本文利用部件、子系统和整个系统的多层次可靠性信息，提出了一种基于聚集的层次化系统SRDT方法。为实现较低的消费者风险，确定了所提出方法的分析条件。根据消费者风险对不同SRDT设计策略的性能进行了评估和比较。数值算例验证了该方法的有效性和有效性。
As reliability requirements become increasingly demanding for many engineering systems, conventional system reliability demonstration testing (SRDT) based on the number of failures depends on a large sample of system units. However, for many safety critical systems, such as missiles, it is prohibitive to perform such testing with large samples. To reduce the sample size, existing SRDT methods utilize test data from either system level or component level. In this paper, an aggregation-based SRDT methodology is proposed for hierarchical systems by utilizing multilevel reliability information of components, subsystems, and the overall system. Analytical conditions are identified for the proposed method to achieve lower consumer risk. The performances of different SRDT design strategies are evaluated and compared according to their consumer risks. A numerical case study is presented to illustrate the proposed methodology and demonstrate its validity and effectiveness.
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DOI：
10.1016/j.ress.2004.02.001
发表时间：
2004-12
期刊：
Reliab. Eng. Syst. Saf.
影响因子：
--
作者：
M. Hamada;H. Martz;C. S. Reese;T. Graves;Val Johnson;Alyson G. Wilson
通讯作者：
M. Hamada;H. Martz;C. S. Reese;T. Graves;Val Johnson;Alyson G. Wilson
影响因子：
5.9
作者：
T. Jin;D. Coit
通讯作者：
T. Jin;D. Coit
影响因子：
5.9
作者：
Valen E. Johnson;A. Moosman;Paul Cotter
通讯作者：
Valen E. Johnson;A. Moosman;Paul Cotter
影响因子：
2.3
作者：
T. Graves;M. Hamada
通讯作者：
T. Graves;M. Hamada
影响因子：
2.5
作者：
H. Martz;R. A. Waller
通讯作者：
H. Martz;R. A. Waller