Predict the Reliability of Complex Systems by Applying the Monte Carlo Method

Băjenescu, Titu I.

doi:10.1109/optim.1998.708048

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…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%

A Simulation Approach of Complex Repairable System Based on Stateflow

Ren

et al. 2010

2010 Second International Conference on Computer Modeling and Simulation

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In the paper, a Simulation method of complex repairable system based on Stateflow is put forth. At first, the concepts of complex repairable system and Stateflow are introduced. Then, the analyzing concept, procedure, solution to difficult problems and statistics model of establishing complex repairable system model based Stateflow is put forth according to finite state-machine theory and object-oriented programming concept. At the end, Stateflow is used to model and simulate a kind of complex repairable system. The simulation result suggests that the model and simulation base on Stateflow can estimate the reliability parameters character of complex repairable system effectively, and it has the merits such as visualization, flow chart and hierarchy.

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Section: Introductionmentioning

confidence: 99%

A Simulation Approach of Complex Repairable System Based on Stateflow

Ren

et al. 2010

2010 Second International Conference on Computer Modeling and Simulation

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“…Similar problems arose when trying to determine the exact availability at a given target time for systems subject to maintenance policies. As some authors point out (Bajenescu 1998, Goel and Gupta 1997, Billinton and Wang 1999, Chisman 1998, in those situations only simulation techniques, such as Monte Carlo Simulation (MS) and Discrete Event Simulation (DES), can be useful to obtain estimates for reliability and availability parameters. Faulin, Juan, Bargueño, and Serrat One of the first good ideas and algorithms on the use of MS techniques to estimate system reliability can be found in Kamat and Riley (1975).…”

Section: Simulation In Availability Studiesmentioning

confidence: 99%

SAEDES++: Determining Complex System Availability Via Simulation

Faulín¹,

Juan²,

Serrat³

et al.

Proceedings of the Winter Simulation Conference, 2005.

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Complex systems are everywhere among us: telecommunication networks, computers, transporting vehicles, and electrical appliances are well known examples. Designing reliable systems and determining their availability are both very important tasks for managers and engineers, since reliability and availability have a strong relationship to other concepts such as quality and safety. Furthermore, these tasks are extremely difficult, due to the fact that analytical methods can become too complicated, inefficient or even inappropriate when dealing with sophisticated systems. In this paper we present the basic ideas behind a simulationbased method, called SAEDES, which can be very useful when determining availability for a wide range of complex systems. The method is implemented in C/C++ using two different algorithms, SAEDES_A1 (component-oriented) and SAEDES_A2 (system-oriented). Two case-studies are introduced and analyzed using both algorithms, which allows us to compare the associated results.

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On The Spare Parts Problem

Băjenescu¹

Proceedings of the 6th International Conference on Optimization of Electrical and Electronic Equipments

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Predict the Reliability of Complex Systems by Applying the Monte Carlo Method

Cited by 5 publications

References 1 publication

A Simulation Approach of Complex Repairable System Based on Stateflow

A Simulation Approach of Complex Repairable System Based on Stateflow

SAEDES++: Determining Complex System Availability Via Simulation

On The Spare Parts Problem

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