Improved method for dynamic fault tree analysis based on discrete-time Bayesian network

被引：2
|
作者：
Lan J. [1 ]
Yuan H. [1 ]
Xia J. [1 ]
机构：
[1] School of Reliability and Systems Engineering, Beihang University, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2018年 / 40卷 / 04期
关键词：
Discrete-time Bayesian network (DTBN); Dynamic fault tree; Error analysis; Improved methods; Reliability analysis;
D O I：
10.3969/j.issn.1001-506X.2018.04.33
中图分类号：
学科分类号：
摘要：
The computational time and computational accuracy of the traditional dynamic fault tree analysis method based on discrete-time Bayesian network are greatly affected by time segmentation. The calculation error of the traditional method based on the compound trapezoidal integral method is analyzed, and an improved dynamic gate transformation method is proposed to compensate its calculation error. Taking a measurement system as an example, the dynamic measurement tree and the Bayesian network are established to verify the feasibility and efficiency of the improved method. The results show that the improved method can obtain the accurate system failure probability when the time segment is small. The improved method effectively compensates the calculation error of the traditional method, improves the calculation accuracy and computational efficiency of the results, and is suitable for the complex system with all kinds of common distribution. © 2018, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：948 / 953
页数：5
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