@inproceedings{6f530b8a3c424fdcb4491bea24ff85a1,
title = "A reliability allocation method based on Bayesian networks",
abstract = "With the increasing emphasis on reliability in recent years for high-tech industrial processes comprise most complex systems today. Allocating proper reliability value to each subsystem or component of a complex system as an optimization process to rise productivity is very crucial. Exists approaches like ARINC and AGREE are too simple and inadaptable for ever increasing levels of industrial systems. Other techniques like allocation method based on FTA which the allocation values are more convincing but the calculation procedure is based on minimum cut which makes it complicated and inefficient in the complex system. Finding a more practical, effective and accurate method to solve this dilemma is the objective of this paper. This paper presents a reliability allocation method based on Bayesian networks (BNs). First, the modeling aspect is defined by introducingthe mapping rules between FTA and BNs, then a reliability allocating algorithm based on BNs is proposed, eventually, a case study of passive residual heat removal system is presented to demonstrate theanalysis procedures.",
keywords = "Bayesian networks, fault tree, passive residual heat removal system, reliability allocation",
author = "Zheng Ma and Yi Ren and Linlin Liu and Zili Wang",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Prognostics and System Health Management Conference, PHM 2015 ; Conference date: 21-10-2015 Through 23-10-2015",
year = "2016",
month = jan,
day = "12",
doi = "10.1109/PHM.2015.7380063",
language = "英语",
series = "Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Tingdi Zhao and Pecht, \{Michael G.\} and Shunong Zhang",
booktitle = "Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015",
address = "美国",
}