期刊
MEASUREMENT
卷 74, 期 -, 页码 150-158出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2015.07.003
关键词
Sensitivity analysis; Reliability assessment; Safety Instrumented Systems; Monte Carlo simulation; Failure rate
The paper focuses on sensitivity analysis achieved on a mathematical model for system reliability assessment: the aim of this study is to assess propagation and quantification of uncertainty from input (e.g. nominal values of failure rates taken from a generic database) to output (e.g. system reliability). Many sources of uncertainty affect input data so a limit in the confidence on the response of the model is considered. After the definition of the variability range of possible input and its associated distribution, Monte Carlo simulation is used to have a wide sample of survey. In this paper sensitivity analysis is achieved on reliability outcomes of a generic SIS (Safety Instrumented System) constituted by sensors, logic solver and final elements; SIS is used to implement one or more safety functions to control critical processes on plants in order to avoid unacceptable or dangerous conditions. The results obtained with MC simulation and the following sensitivity analysis prove the validity of the proposed approach. (C) 2015 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据