TY - GEN
T1 - Effectiveness evaluation of complex networks
T2 - 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
AU - Wang, Wuhong
AU - Hou, Fuguo
AU - Lin, Rongjie
AU - Li, Fang
PY - 2012
Y1 - 2012
N2 - As the effectiveness of complex networks mainly depend on probability distribution of time between failure and time to repair that involves system operations in different routes, all combinations of system operations are quantitatively described by various running and repairing states. In this paper, we describe a sampling method of random variable's probability distributions of failures and repairs time according to priority and event sequencing. Based on various states of system operations, a detailed simulation procedure has been established through identifying different failure and repair states. Finally, we have carried out the reliability and maintainability evaluation of system operations for a special complex line using Monte Carlo simulation as a case study. The simulation results demonstrate that the reliability and maintainability simulation algorithm is adaptable to measure the effectiveness of system service whose system operations follow to arbitrary failure and repair distributions.
AB - As the effectiveness of complex networks mainly depend on probability distribution of time between failure and time to repair that involves system operations in different routes, all combinations of system operations are quantitatively described by various running and repairing states. In this paper, we describe a sampling method of random variable's probability distributions of failures and repairs time according to priority and event sequencing. Based on various states of system operations, a detailed simulation procedure has been established through identifying different failure and repair states. Finally, we have carried out the reliability and maintainability evaluation of system operations for a special complex line using Monte Carlo simulation as a case study. The simulation results demonstrate that the reliability and maintainability simulation algorithm is adaptable to measure the effectiveness of system service whose system operations follow to arbitrary failure and repair distributions.
UR - http://www.scopus.com/inward/record.url?scp=84892659035&partnerID=8YFLogxK
U2 - 10.1142/9789814417747_0141
DO - 10.1142/9789814417747_0141
M3 - Conference contribution
AN - SCOPUS:84892659035
SN - 9789814417730
T3 - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
SP - 881
EP - 886
BT - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
PB - World Scientific Publishing Co. Pte Ltd
Y2 - 26 August 2012 through 29 August 2012
ER -