Bayesian method for system reliability assessment of overlapping pass/fail data

For high reliability and long life systems, system pass/fail data are often rare. Integrating lower-level data, such as data drawn from the subsystem or component pass/fail testing,the Bayesian analysis can improve the precision of the system reliability assessment. If the multi-level pass/fail data...

Full description

Saved in:
Bibliographic Details
Published in:Journal of systems engineering and electronics 2015-02, Vol.26 (1), p.208-214
Main Authors: Hao, Zhipeng, Zeng, Shengkui, Guo, Jianbin
Format: Article
Language:English
Subjects:
Assessments
Bayesian analysis
Control systems
Feasibility
Mathematical analysis
Mathematical models
Screening
System reliability
二元决策图
似然函数
可靠性评估
合格数
多组分体系
子系统
贝叶斯分析
贝叶斯方法
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:For high reliability and long life systems, system pass/fail data are often rare. Integrating lower-level data, such as data drawn from the subsystem or component pass/fail testing,the Bayesian analysis can improve the precision of the system reliability assessment. If the multi-level pass/fail data are overlapping,one challenging problem for the Bayesian analysis is to develop a likelihood function. Since the computation burden of the existing methods makes them infeasible for multi-component systems, this paper proposes an improved Bayesian approach for the system reliability assessment in light of overlapping data. This approach includes three steps： fristly searching for feasible paths based on the binary decision diagram, then screening feasible points based on space partition and constraint decomposition, and finally simplifying the likelihood function. An example of a satellite rolling control system demonstrates the feasibility and the efficiency of the proposed approach.
ISSN:1004-4132
1004-4132
DOI:10.1109/JSEE.2015.00025