1997
DOI: 10.1016/s0026-2714(96)00058-3
|View full text |Cite
|
Sign up to set email alerts
|

Survey of reliability and availability evaluation of complex networks using Monte Carlo techniques

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
24
0

Year Published

2005
2005
2019
2019

Publication Types

Select...
5
3
1

Relationship

0
9

Authors

Journals

citations
Cited by 52 publications
(24 citation statements)
references
References 99 publications
0
24
0
Order By: Relevance
“…Many researchers are modeling and simulating the complex repairable system currently [1][2][3][4][5][6][7][8], the aim of research is getting the availability, MTTF, MTTR of system through the reliability and maintainability of subsystem. The researchers believe the main difficulty of modeling and simulating the complex repairable system is that system structure is very complex; subsystem's failure and repair distribution is various.…”
Section: Introductionmentioning
confidence: 99%
“…Many researchers are modeling and simulating the complex repairable system currently [1][2][3][4][5][6][7][8], the aim of research is getting the availability, MTTF, MTTR of system through the reliability and maintainability of subsystem. The researchers believe the main difficulty of modeling and simulating the complex repairable system is that system structure is very complex; subsystem's failure and repair distribution is various.…”
Section: Introductionmentioning
confidence: 99%
“…(3) Users can easily obtain system reliability by inputting data into computer when MCS approach is programmed in programming languages. (4) The operation time of the computer get faster so that the manipulating time of MCS process decreases (Wang & Pham, 1997). As a result, MCS algorithm has became one of the efficient and optimal approaches for estimating network reliability (Rocco & Moreno, 2002;Rocco & Zio, 2005;Easton & Wong, 1980;Fishman, 1986;Kamat & Riley, 1975, 1976Kubat, 1989;Landers et al, 1991;Lin & Donaghey, 1993;Ramirez-Má rquez & Coit, 2005, 2007Wang & Pham, 1997;Yeh, 1996Yeh, , 1998Yeh, , 2003Yeh, , 2004aYeh, ,b, 2007Yeh & Lin, 2009;Yeh, Lin, & Lin, 2007;Zio, Podofillini, & Zille, 2006).…”
mentioning
confidence: 99%
“…The new method employs the Monte-Carlo simulation method, which uses system probability models, and simulation of random variables [17], to analyze the relationship between the reliability, and volume, of a mechanical component.…”
mentioning
confidence: 99%