TY - GEN
T1 - Notice of Retraction
T2 - 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2013
AU - Wu, Yong
AU - Kang, Rui
AU - Ma, Lin
AU - Hu, Hongyu
PY - 2013
Y1 - 2013
N2 - This paper presents a fuzzy graph evaluation and review technique (GERT) analytic model for multi-phased mission systems that provides a new approach to calculate mission performance of phased-mission system (PMS). The model extends traditional analytic models of PMS using logic diagram method (such as Fault Trees and Binary Decision Diagram) and state transition method (such as Markova Model). By using fuzzy GERT based on grey number, we provide a stochastic network to build the model of phased-mission which avoids the difficulty to give exact logic relation in reliability analysis method based on logic diagram and the state space explosion and the mapping problems that are encountered by the Markov chain approach, and at the same time, we use gray number to describe the phased-mission transition probability which is more easier to determine than traditional models. In this model, as the key performance indicators of PMS, mission cycle and success probability are solved. Finally, a computation study of typical carrier operational mission is given to illustrate how to apply the approach to calculate mission reliability of PMS. Furthermore, sensitivities of mission cycle and success probability in the model are analyzed.
AB - This paper presents a fuzzy graph evaluation and review technique (GERT) analytic model for multi-phased mission systems that provides a new approach to calculate mission performance of phased-mission system (PMS). The model extends traditional analytic models of PMS using logic diagram method (such as Fault Trees and Binary Decision Diagram) and state transition method (such as Markova Model). By using fuzzy GERT based on grey number, we provide a stochastic network to build the model of phased-mission which avoids the difficulty to give exact logic relation in reliability analysis method based on logic diagram and the state space explosion and the mapping problems that are encountered by the Markov chain approach, and at the same time, we use gray number to describe the phased-mission transition probability which is more easier to determine than traditional models. In this model, as the key performance indicators of PMS, mission cycle and success probability are solved. Finally, a computation study of typical carrier operational mission is given to illustrate how to apply the approach to calculate mission reliability of PMS. Furthermore, sensitivities of mission cycle and success probability in the model are analyzed.
KW - graph evaluation and review technique
KW - grey number
KW - mission performance
KW - phased-mission system
KW - stochastic network
UR - https://www.scopus.com/pages/publications/84902302717
U2 - 10.1109/QR2MSE.2013.6625558
DO - 10.1109/QR2MSE.2013.6625558
M3 - 会议稿件
AN - SCOPUS:84902302717
SN - 9781479910144
T3 - QR2MSE 2013 - Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
SP - 168
EP - 172
BT - QR2MSE 2013 - Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
PB - IEEE Computer Society
Y2 - 15 July 2013 through 18 July 2013
ER -