Evaluation of risk and cost using an age-dependent unavailability modelling of test and maintenance for standby components

Kančev, Duško; Čepin, Marko

doi:10.1016/j.jlp.2010.12.003

Cited by 37 publications

(17 citation statements)

References 42 publications

(56 reference statements)

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“…Again, the same test activity performed every plant shutdown with efficiency set to one is considered. This approach of ageing modelling is often used in the literature [22][23].…”

Section: Risk Modelling and Datamentioning

confidence: 99%

Ageing PSA incorporating effectiveness of maintenance and testing

Martón¹,

Sánchez²,

Martorell³

2015

Reliability Engineering & System Safety

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This paper proposes a new approach to Ageing Probabilistic Safety Assessment (APSA) modelling, which is intended to be used to support risk-informed decisions on the effectiveness of maintenance management programs and technical specification requirements of critical equipment of Nuclear Power Plants (NPP) within the framework of the Risk Informed Decision Making according to R.G. 1.174 principles. This approach focuses on the incorporation of not only equipment ageing but also effectiveness of maintenance and efficiency of surveillance testing explicitly into APSA models and data. An example of application is presented, which centers on a critical safety-related equipment of a NPP in order to evaluate the risk impact of considering different approaches to APSA and the combined effect of equipment ageing and maintenance and testing alternatives along NPP design life. The risk impact of the several alternatives is quantified and the results shows that such risk depends largely on the model parameters, such as ageing factor, maintenance effectiveness, test efficiency.

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“…Again, the same test activity performed every plant shutdown with efficiency set to one is considered. This approach of ageing modelling is often used in the literature [22][23].…”

Section: Risk Modelling and Datamentioning

confidence: 99%

Ageing PSA incorporating effectiveness of maintenance and testing

Martón¹,

Sánchez²,

Martorell³

2015

Reliability Engineering & System Safety

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show abstract

“…The whole development procedure of the analytical unavailability model, simultaneously integrating component aging, effects of test and maintenance activities as well as implications of different testing strategies, used for the purpose of this paper together with the overall equations derivation process is presented in Kancev and Cepin (2011).…”

Section: Analytical Unavailability Modelmentioning

confidence: 99%

“…Aging data uncertainty may implicate under and/or overestimation of the unavailability of a system in the process of risk-informed decision-making (RIDM), e.g. risk-informed T&M optimization (Kancev & Cepin, 2011). Thus, the need of incorporating aging data uncertainties arises in the context of the mentioned RIDM process, as it is important for the decision-maker to be able to estimate how uncertain the results are and how the uncertainty associated with these aging data is propagated in the model.…”

Section: Introductionmentioning

confidence: 99%

“…A fault tree (FT) model of the considered system is developed in commercially available software for FT analyses. System unavailability as a function of time is calculated by complementary application of the FT technique and a previously developed analytical unavailability model (Kancev & Cepin, 2011), which simultaneously integrates component aging, effects of T&M activities as well as implications of different testing strategies. Additionally, a Monte Carlo (MC) simulation-based computer code was developed for the purpose of this paper and used in order to follow and assess aging data uncertainty propagation on system level.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of test interval for ageing equipment: A multi-objective genetic algorithm approach

Kančev

Gjorgiev

Čepin

2011

Journal of Loss Prevention in the Process Industries

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“…It is worth noting that these authors also did not take component repair into consideration. Kančev & Cepin (2011) evaluated risk and cost using an age-dependent unavailability modelling of test and maintenance for standby components. These authors have used Fault Tree Analysis to risk assessment and cost optimization to quantify the impact of sequential versus staggered testing and aging on system unavailability.…”

Section: Introductionmentioning

confidence: 99%

The establishment of the time interval between inspections for a cold standby system with component repair

Mendes

Ribeiro

2017

Prod.

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The time interval between inspections of cold standby systems is a crucial decision to ensure the appropriated system reliability and the lowest costs possible. This paper presents a model developed to establish the optimal time interval between inspections for a two-unit cold standby system with component repair and subject to periodic inspection, considering reliability and costs. A Markov chain is used to define possible states, their transition probabilities and the mean time to system failure, as a function of the time interval between inspections. Given the mean time to system failure, the steady state availability is determined. Finally, the costs related to the system maintenance are established and a cost function is developed and optimized for the time interval between inspections. Numerical examples are presented and results for different system parameters are compared. Besides optimizing the time interval between inspections, the analyses also reveal the effect of repair time on system availability and mean time to system failure.

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Evaluation of risk and cost using an age-dependent unavailability modelling of test and maintenance for standby components

Cited by 37 publications

References 42 publications

Ageing PSA incorporating effectiveness of maintenance and testing

Ageing PSA incorporating effectiveness of maintenance and testing

Optimization of test interval for ageing equipment: A multi-objective genetic algorithm approach

The establishment of the time interval between inspections for a cold standby system with component repair

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