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2013 (Vol. 5, Issue: 12)
Article Information:

Reliability Analysis of Phased Mission Systems by the Considering the Sensitivity Analysis, Uncertainty and Common Cause Failure Analysis using the GO-FLOW Methodology

Muhammad Hashim, Yoshikawa Hidekazu, Matsuoka Takeshi and Yang Ming
Corresponding Author:  Muhammad Hashim 

Key words:  Common cause failure analysis, containment spray system, dynamical reliability analysis, GO-FLOW methodology, montecarlo simulation, phased mission system, PWR, uncertainty analysis
Vol. 5 , (12): 3465-3475
Submitted Accepted Published
February 18, 2013 March 12, 2013 April 10, 2013
Abstract:

The reliability is the probability that a device will perform its required function under stated conditions for a specified period of time. The Common Cause Failure (CCFs) is the multiple failures and has long been recognized (U.S. NRC, 1975) as an important issue in the Probabilistic Safety Assessment (PSA) and uncertainty and sensitivity analysis has the important information for the evaluation of system reliability. In this study, two cases has been considered, in the first case, author have made the analysis of reliability of PWR safety system by GO-FLOW methodology alternatively to Fault Tree Analysis and Even Tree because it is success-oriented system analysis technique and comparatively easy to conduct the reliability analysis of the complex system. In the second case, sensitivity analysis has been made in order to prioritize the important parameters which have largest contribution to system reliability and also for common cause failure analysis and uncertainty analysis. For an example of phased mission system, PWR containment spray system has been considered.
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  Cite this Reference:
Muhammad Hashim, Yoshikawa Hidekazu, Matsuoka Takeshi and Yang Ming , 2013. Reliability Analysis of Phased Mission Systems by the Considering the Sensitivity Analysis, Uncertainty and Common Cause Failure Analysis using the GO-FLOW Methodology.  Research Journal of Applied Sciences, Engineering and Technology, 5(12): 3465-3475.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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