Coverage Modeling and Reliability Analysis Using Multi-state Function  

作　　者：S.Prabhudeva A.K.Verma 

机构地区：[1]Department of Electrical Engineering,Indian Institute of Technology Bombay,Mumbai 400076,India

出　　处：《International Journal of Automation and computing》2007年第4期380-387,共8页国际自动化与计算杂志（英文版）

摘　　要：Fault tree analysis is an effective method for predicting the reliability of a system. It gives a pictorial representation and logical framework for analyzing the reliability. Also, it has been used for a long time as an effective method for the quantitative and qualitative analysis of the failure modes of critical systems. In this paper, we propose a new general coverage model （GCM） based on hardware independent faults. Using this model, an effective software tool can be constructed to detect, locate and recover fault from the faulty system. This model can be applied to identify the key component that can cause the failure of the system using failure mode effect analysis （FMEA）.Fault tree analysis is an effective method for predicting the reliability of a system. It gives a pictorial representation and logical framework for analyzing the reliability. Also, it has been used for a long time as an effective method for the quantitative and qualitative analysis of the failure modes of critical systems. In this paper, we propose a new general coverage model （GCM） based on hardware independent faults. Using this model, an effective software tool can be constructed to detect, locate and recover fault from the faulty system. This model can be applied to identify the key component that can cause the failure of the system using failure mode effect analysis （FMEA）.

关 键 词：Fault tree fault type fault diagnosis fault recovery coverage model Markov chain reliability unreliability. 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]