Estimation of common cause failure parameters for essential service water system pump using the CAFE-PSA

Kang, Dong Yoon; Hwang, Mee Jeong; Han, Sang Hoon

doi:10.1016/j.pnucene.2010.09.009

Cited by 13 publications

(3 citation statements)

References 2 publications

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“…The former, Q T , is the total failure frequency of the system caused by independent failure and CCF and the latter, a k , is a fraction of the total frequency of failure event including the failure of k components in the system. Kang et al (2011), Zheng et al (2013) and Hassija et al (2014) have already proposed methods to estimate the value of a k . To estimate the parameter alpha (a), all of these methods require comprehensive data regarding independent failure and CCF.…”

Section: Literature Reviewmentioning

confidence: 99%

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MTBF evaluation for 2-out-of-3 redundant repairable systems with common cause and cascade failures considering fuzzy rates for failures and repair: a case study of a centrifugal water pumping system

2017

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In many cases, redundant systems are beset by both independent and dependent failures. Ignoring dependent variables in MTBF evaluation of redundant systems hastens the occurrence of failure, causing it to take place before the expected time, hence decreasing safety and creating irreversible damages. Common cause failure (CCF) and cascading failure are two varieties of dependent failures, both leading to a considerable decrease in the MTBF of redundant systems. In this paper, the alpha-factor model and the capacity flow model are combined so as to incorporate CCF and cascading failure in the evaluation of MTBF of a 2-out-of-3 repairable redundant system. Then, using a transposed matrix, the MTBF function of the system is determined. Due to the fact that it is difficult to estimate the independent and dependent failure rates, industries are interested in considering uncertain failure rates. Therefore, fuzzy theory is used to incorporate uncertainty into the model presented in this study, and a nonlinear programming model is used to determine system's MTBF. Finally, in order to validate the proposed model, evaluation of MTBF of the redundant system of a centrifugal water pumping system is presented as a practical example.

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Section: Literature Reviewmentioning

confidence: 99%

“…Centrifugal water pumps play an indispensable role in many industries, including nuclear industries (Kang et al 2011), cooling towers (Alavi and Rahmati 2016), main water transfer routes (Mortazavi et al 2016), etc. Centrifugal water pumps are utilized in the main water pipelines to compensate for water pressure drop.…”

Section: Assumptionsmentioning

confidence: 99%

MTBF evaluation for 2-out-of-3 redundant repairable systems with common cause and cascade failures considering fuzzy rates for failures and repair: a case study of a centrifugal water pumping system

2017

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“…Guidelines on modeling CCFs [2][3][4][5] in safety and reliability studies and assessing CCF rates 5 have been developed and applied in most engineering probabilistic safety assessments (PSAs). There is a rich literature of a number of specific aspects of CCF analysis, for instance, modeling of one component assigned to several CCF groups, 1,[6][7][8] parameter estimation, [9][10][11] uncertainties' assessment, [12][13][14] safety analysis for special system (e.g. voting system) including CCFs in condition of system reconfiguration, 15 and human and organization factors that influence evaluation.…”

Section: Introductionmentioning

confidence: 99%

Common cause failure model updating for risk monitoring in nuclear power plants based on alpha factor model

Zhang

Mosleh

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part O:

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Common cause failure model updating (both qualitatively and quantitatively) is a key factor in risk monitoring for nuclear power plants when configuration changes (e.g. components become unavailable) occur among a redundant configuration. This research focuses on the common cause failure updating based on the alpha factor model method, which is commonly used in the living probabilistic safety assessment models for nuclear power plant risk monitoring. This article first discusses the common cause failure model updating in an ideal condition, which evaluates the common cause failure model parameters for the configurationally changed system in different ways, based on the causes of the detected failures. Then, two alternative updating processes are proposed considering the difficulty to identify failure causes immediately during plant operation: one is to update the common cause failure models with the assumption that the failures detected are independent failures and the other is to update the common cause failure models with the parameters as expectations of the values for all possible failure causes. Finally, a case study is given to illustrate the common cause failure updating process and to compare these two alternative processes. The results show that (1) common cause failures can be reevaluated automatically by the methods proposed in this article and (2) the second process is more conservative and reasonable but with more data requirements compared with the first approach. Considering limitations in accessibility of the data, the first strategy is suggested currently. More future work on data acquisition is demanded for better assessment of common cause failures during nuclear power plant risk monitoring.

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Evaluating MTTF of 2-out-of-3 redundant systems with common cause failure and load share based on alpha factor and capacity flow models

Mortazavi

Karbasian

Goli

2016

Int J Syst Assur Eng Manag

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Estimation of common cause failure parameters for essential service water system pump using the CAFE-PSA

Cited by 13 publications

References 2 publications

MTBF evaluation for 2-out-of-3 redundant repairable systems with common cause and cascade failures considering fuzzy rates for failures and repair: a case study of a centrifugal water pumping system

MTBF evaluation for 2-out-of-3 redundant repairable systems with common cause and cascade failures considering fuzzy rates for failures and repair: a case study of a centrifugal water pumping system

Common cause failure model updating for risk monitoring in nuclear power plants based on alpha factor model

Evaluating MTTF of 2-out-of-3 redundant systems with common cause failure and load share based on alpha factor and capacity flow models

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