TY - GEN
T1 - An implicit method for probabilistic common cause failures in phased-mission system
AU - Wu, Huan
AU - Jiao, Jian
AU - Zhao, Runjiang
AU - Chen, Zhiwei
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/8
Y1 - 2017/9/8
N2 - Phased-mission system (PMS) usually has the characteristic of high complexity and integration and operates under a complex condition, so system reliability plays an important role during its mission. The common cause failure (CCF) in system which can destroy the hypothesis that the failures are independent, especially in the PMS. Based on their impacts on the components, CCFs can be classified into two types, i.e. deterministic common cause failures (DCCFs) and probabilistic common cause failures (PCCFs). The current PMS-PCCF researches have not yet considered the dynamic characteristics of PMSs, as well as the effects of s-dependent CCs on PMS. Therefore, in this paper the author put forward an improved implicit method to make a comprehensive analysis of the influence of PCCF on PMS. The method can handle all kinds of statistical relationships amongst CCs, there are s-independent, s-dependent and mutually exclusive. Furthermore, Dynamic logic is introduced to enable system research closer to the actual situation, the calculation results more reliable and realistic.
AB - Phased-mission system (PMS) usually has the characteristic of high complexity and integration and operates under a complex condition, so system reliability plays an important role during its mission. The common cause failure (CCF) in system which can destroy the hypothesis that the failures are independent, especially in the PMS. Based on their impacts on the components, CCFs can be classified into two types, i.e. deterministic common cause failures (DCCFs) and probabilistic common cause failures (PCCFs). The current PMS-PCCF researches have not yet considered the dynamic characteristics of PMSs, as well as the effects of s-dependent CCs on PMS. Therefore, in this paper the author put forward an improved implicit method to make a comprehensive analysis of the influence of PCCF on PMS. The method can handle all kinds of statistical relationships amongst CCs, there are s-independent, s-dependent and mutually exclusive. Furthermore, Dynamic logic is introduced to enable system research closer to the actual situation, the calculation results more reliable and realistic.
KW - Implicit method
KW - Markov model
KW - Probabilistic common cause failure
KW - binary decision diagram method
KW - phased-mission system
UR - https://www.scopus.com/pages/publications/85032289475
U2 - 10.1109/ICRSE.2017.8030751
DO - 10.1109/ICRSE.2017.8030751
M3 - 会议稿件
AN - SCOPUS:85032289475
T3 - 2017 2nd International Conference on Reliability Systems Engineering, ICRSE 2017
BT - 2017 2nd International Conference on Reliability Systems Engineering, ICRSE 2017
A2 - Fan, Dongming
A2 - Yang, Jun
A2 - Wang, Ziyao
A2 - Zhao, Tingdi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Reliability Systems Engineering, ICRSE 2017
Y2 - 10 July 2017 through 12 July 2017
ER -