摘要
监控系统可靠性的预判长期以来一直没有有效的仿真分析方法。采用云模型理论及故障树分析法(FTA),将影响监控系统可靠性的温度、湿度、电压以及部件自身的适应力等因素变换为环境因子,将元器件可靠性应力效应集成为监控系统的可靠性云模型,进行可靠性建模、仿真和分析,从而得到一种新的监控系统可靠性预判的方法。通过实际监控系统的实验,充分验证了该仿真分析方法的有效性。并进一步根据可靠性指标对系统进行改进,改进后的系统比改进前的系统,在可靠性方面有了明显的提高。
There has not been an effective simulation and analysis method for predicting the reliability of monitoring system for a long time.The cloud model theory and the fault tree analysis （FTA） are used to transform elements into environmental factors that affect the reliability of the monitoring system.These elements such as temperature,humidity,voltage and stress of parts can be gathered to meet the entire monitoring system cloud model in order to obtain a new method to predict the reliability of the monitoring system.Through the test of an actual monitoring system,the effectiveness of the simulation and analysis method is fully verified.According to the reliability objective of the monitoring system,the constructor is improved to obtain better reliability effect.
出处
《计算机工程与科学》
CSCD
北大核心
2014年第8期1430-1434,共5页
Computer Engineering & Science
基金
国家自然科学基金资助项目(51007093)
关键词
云模型
环境因子
平均无故障时间
故障树分析法
cloud model
environmental factors
mean time between failures
fault tree analysis
