This paper considers a problem of multi-state system reliability modelling and assessment. By using the advantages of uncertainty reasoning and figurative expression of Bayesian network, a new method of modelling and assessment of multi-state system reliability based on BN is proposed to determine the nodes of BN and the multiple states of components of system, and to give the probability of ea...

Jong Gyun Choi, Poong Hyun Seong Department of Nuclear Engineering, Korea Advanced Institute of Science and Technology, Gusong, Yusong, Daejon 305-701, South Korea Abstract This work describes a combinatorial model for estimating the reliability of the embedded digital system by means of multi-state function. This model includes a coverage model for fault-handling techniques implemented in digi...

the capability of sand constitutive models is remarkably improved by taking into account the effect of soil state in their formulations. in this study, it has been shown that considering the effect of soil state leads to better simulation of soil instability of shear banding type. to this aim, constitutive equations of a state dependent sand model are explained first. consequently, the general ...

Appropriate scheduling and sequencing of tasks on machines is one of the basic and significant problems that a shop or a factory manager encounters with it, this is why in recent decades extensive researches have been done on scheduling issues. A type of scheduling problems is just-in-time (JIT) scheduling and in this area, motivated by JIT manufacturing, this study investigates a mathematical ...

in this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. cgam problem, a benchmark in cogeneration systems, is chosen as a casestudy. thermodynamic model includes precise modeling of the whole plant. for simulation of the steadysate behavior, the static neural network is applied. then using dynamic neural network, plant is...