TY - JOUR
T1 - Reliability modelling and assessment of PMSs considering failure coupling effect between missions
AU - Guo, Yaohui
AU - Chen, Ying
AU - Li, Yingyi
N1 - Publisher Copyright:
© 2026 Elsevier Ltd.
PY - 2026/9
Y1 - 2026/9
N2 - Phased-mission systems (PMSs) consist of multiple sequential phases, where variations in system configurations, environmental conditions, and load levels across phases lead to complex failure coupling effects that challenge accurate reliability assessment. This paper proposes a reliability modelling and assessment framework for PMSs considering failure coupling effects between mission phases based on the Failure-Coupling-based Binary Decision Diagram (FC-BDD). The framework employs logical structure modeling rules to implement hierarchical modeling from the failure mechanism layer to the system layer and further to the mission phase layer, accurately capturing both intra-layer node relationships and inter-layer dependencies. In addition, analytical calculation rules for node associations are defined to enable quantitative reliability assessment of the system. Finally, the proposed method is applied to the ignition electronic control unit (PS-IECU) of a reusable deep-space propulsion system, demonstrating its effectiveness in reliability modeling and assessment. The study also reveals that neglecting coupling effects across mission phases can lead to cumulative errors in reliability assessment and hinder the identification and optimization of system-critical vulnerabilities.
AB - Phased-mission systems (PMSs) consist of multiple sequential phases, where variations in system configurations, environmental conditions, and load levels across phases lead to complex failure coupling effects that challenge accurate reliability assessment. This paper proposes a reliability modelling and assessment framework for PMSs considering failure coupling effects between mission phases based on the Failure-Coupling-based Binary Decision Diagram (FC-BDD). The framework employs logical structure modeling rules to implement hierarchical modeling from the failure mechanism layer to the system layer and further to the mission phase layer, accurately capturing both intra-layer node relationships and inter-layer dependencies. In addition, analytical calculation rules for node associations are defined to enable quantitative reliability assessment of the system. Finally, the proposed method is applied to the ignition electronic control unit (PS-IECU) of a reusable deep-space propulsion system, demonstrating its effectiveness in reliability modeling and assessment. The study also reveals that neglecting coupling effects across mission phases can lead to cumulative errors in reliability assessment and hinder the identification and optimization of system-critical vulnerabilities.
KW - Failure coupling effect
KW - Failure-coupling-based binary decision diagram (FC-BDD)
KW - Phased-mission systems (PMSs)
KW - Reliability modeling
UR - https://www.scopus.com/pages/publications/105029663144
U2 - 10.1016/j.ress.2026.112353
DO - 10.1016/j.ress.2026.112353
M3 - 文章
AN - SCOPUS:105029663144
SN - 0951-8320
VL - 273
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
M1 - 112353
ER -