The aim of this study is to get the reliability of series system and analyze the reliability of machining center. So a modified method of reliability modelling based on Monte Carlo simulation for series system is proposed. The reliability function, which is built by the classical statistics method based on the assumption that machine tools were repaired as good as new, may be biased in the real...

Pumping systems are an integral part of water desalination plants, their effective functioning is vital for the operation of a plant. In this research work, the reliability and availability of pressurized pumps in a reverse osmosis desalination plant are studied with the objective of finding configurations that provides optimal performance. Six configurations of a series system with different n...

Cloud model has been used in the field of reliability evaluation successfully. It solves the problem of reliability evaluation under variable working conditions. In the past, most work was focused on the reliability evaluation of single product. For this reason, a hybrid method based on non-probabilistic cloud model and traditional probability statistics is proposed. It solves the reliability e...

In this paper, we have considered a series-parallel system to find out optimum system reliability with an additional entropy objective function. Maximum system reliability of series-parallel system is depending on proper allocation of redundancy component in different stage. The goal of entropy based reliability redundancy allocation problem is to find optimal number of redundancy component in ...

In this paper a knowledge-based clustered partitioning technique is developed for determining reliability index and failure probability of rock wedge. Here, the a reliability index is analyzed and the optimization is carried out using a knowledge-based clustered partitioning (KCP) technique. The reliability index computed with this KCP technique is compared with those using other approaches suc...

Monte Carlo simulation (MCS) provides a conceptually simple and robust method to evaluate the system reliability of slope stability, particularly in spatially variable soils. However, it suffers from a lack of efficiency at small probability levels, which are of great interest in geotechnical design practice. To address this problem, this paper develops a MCS-based approach for efficient evalua...

With short production development times, there is an increased need to demonstrate product reliability relatively quickly with minimal testing. In such cases there may be few if any observed failures. Thus it may be difficult to assess reliability using the traditional reliability test plans that measure only time (or cycles) to failure. For many components, degradation measures will contain im...

We study video server performance and reliability. We classify several reliability schemes based on the redundancy technique used (mirroring vs. parity) and on the distribution granularity of redundant data. Then, we propose for each scheme its adequate data layout. To calculate the server reliability, we apply discrete modeling based on Markov chains. Further, we focus on the trade-off between...

*Correspondence: [email protected] 2School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China Full list of author information is available at the end of the article Abstract Importance measure is an index for estimating the importance of an individual component or a group of components in a reliability system. So far, the importance measures for compon...