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  1. International Journal of System Assurance Engineering and Management
  2. International Journal of System Assurance Engineering and Management : Volume 3
  3. International Journal of System Assurance Engineering and Management : Volume 3, Issue 3, September 2012
  4. Reliability estimation of passive systems using fuzzy fault tree approach
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International Journal of System Assurance Engineering and Management : Volume 8
International Journal of System Assurance Engineering and Management : Volume 7
International Journal of System Assurance Engineering and Management : Volume 6
International Journal of System Assurance Engineering and Management : Volume 5
International Journal of System Assurance Engineering and Management : Volume 4
International Journal of System Assurance Engineering and Management : Volume 3
International Journal of System Assurance Engineering and Management : Volume 3, Issue 4, December 2012
International Journal of System Assurance Engineering and Management : Volume 3, Issue 3, September 2012
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Analysis of a computer system with arbitrary distributions for h/w and s/w replacement time and priority to repair activities of h/w over replacement of s/w
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International Journal of System Assurance Engineering and Management : Volume 3, Issue 2, June 2012
International Journal of System Assurance Engineering and Management : Volume 3, Issue 1, March 2012
International Journal of System Assurance Engineering and Management : Volume 2
International Journal of System Assurance Engineering and Management : Volume 1

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Reliability estimation of passive systems using fuzzy fault tree approach

Content Provider SpringerLink
Author Hari Prasad, M. Rami Reddy, G. Srividya, A. Verma, A. K.
Copyright Year 2012
Abstract In general, a power plant (nuclear, thermal, chemical etc.) consists of operating and emergency safety systems. These systems vary from very complex to simple systems. A system normally consists of active components and passive components. The failure of any operating system will lead to a change in the state of the plant. The availability of the plant depends on the successful operation of the operating systems and the operation of the components in the systems. In order to ensure the availability of the plant reliability of the systems/components should be ensured. In recent years most of the advanced nuclear reactors implement passive systems, aimed at improved safety and availability. In the traditional reliability analysis of passive systems the failure probability is estimated based on the actual components present in the system and their corresponding failure data information. However, the passive system may fail to fulfill its mission not only because of a consequence of classical mechanical failure of component (passive or active) of the passive system, but also due to the deviation from expected behavior due to physical phenomena mainly related to thermal hydraulic (called as virtual component, VC). Hence, one should consider the failure probability of the VC in the analysis. In this paper a methodology for performing passive system reliability, which combines the actual component failures and the failure of VC, has been proposed based on fuzzy fault tree approach. This methodology will eliminate the simulation based approach that is being adopted in the present day passive system reliability analysis. The methodology has been demonstrated with a case study on passive decay heat removal system of a typical nuclear power plant.
Starting Page 237
Ending Page 245
Page Count 9
File Format PDF
ISSN 09756809
Journal International Journal of System Assurance Engineering and Management
Volume Number 3
Issue Number 3
e-ISSN 09764348
Language English
Publisher Springer-Verlag
Publisher Date 2012-04-25
Publisher Place India
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Passive system Reliability Fuzzy set Fault tree Response surface Engineering Economics, Organization, Logistics, Marketing Quality Control, Reliability, Safety and Risk
Content Type Text
Resource Type Article
Subject Strategy and Management Safety, Risk, Reliability and Quality
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