TY - JOUR
T1 - Adoption of a Bayesian Network for the Operational Reliability Analysis of Aircraft Systems
AU - Pan, Wei Huang
AU - Feng, Yun Wen
AU - Lu, Cheng
AU - Xue, Xiao Feng
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/2/2
Y1 - 2021/2/2
N2 - To assess and analyze the operational reliability of aircraft systems, an aircraft system Bayesian network (ASBN) method is proposed with the functional and logical coupling relationship of aircraft components, which integrates the characteristics of components related to aircraft operation, is built for analyzing the operational reliability under considering the effect of stochastic features. The aircraft system operating reliability is first assessed by forward inference of ASBN. And the most likely failure component or subsystem under the appearance of different failure condition severity categories are identified. The results show that the aircraft system operating reliability is not as high as the reliability of its components; the most likely failure component or subsystem are those tightly connected to other components or subsystems. The efforts of this paper provide a useful way for deriving operational reliability analysis of complex systems.
AB - To assess and analyze the operational reliability of aircraft systems, an aircraft system Bayesian network (ASBN) method is proposed with the functional and logical coupling relationship of aircraft components, which integrates the characteristics of components related to aircraft operation, is built for analyzing the operational reliability under considering the effect of stochastic features. The aircraft system operating reliability is first assessed by forward inference of ASBN. And the most likely failure component or subsystem under the appearance of different failure condition severity categories are identified. The results show that the aircraft system operating reliability is not as high as the reliability of its components; the most likely failure component or subsystem are those tightly connected to other components or subsystems. The efforts of this paper provide a useful way for deriving operational reliability analysis of complex systems.
UR - http://www.scopus.com/inward/record.url?scp=85101650238&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/1043/2/022055
DO - 10.1088/1757-899X/1043/2/022055
M3 - 会议文章
AN - SCOPUS:85101650238
SN - 1757-8981
VL - 1043
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 2
M1 - 022055
T2 - 10th International Conference on Quality, Reliability, Risk, Maintenance,and Safety Engineering, QR2MSE 2020
Y2 - 8 October 2020 through 11 October 2020
ER -