Behavioural analysis of a hydroelectric production power plant under reworking scheme

Manglik, Monika; Ram, Mangey

doi:10.1080/00207543.2014.962114

Cited by 18 publications

(8 citation statements)

References 23 publications

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“…Ram et al (2013a) analyzed various reliability measures of a standby system with the waiting time to repair strategy. Manglik and Ram (2015) analyzed the behavior of hydroelectric power plant with the waiting time to repair strategy. Ram and Manglik (2016) analyzed a multistate system by incorporating imperfect fault coverage.…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability and Availability analysis of a cloud computing transition system under multiple failures

Manglik

Rawat

Ram

2020

IJQRM

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PurposeTo analyze the performance of multistate cloud computing transition system through the various reliability measures is the purpose of this paper.Design/methodology/approachIn this article, a mathematical model for a multistate cloud computing transition system with various types of failures has been analyzed by using the Markov process, supplementary variable technique and Laplace transformation.FindingsVarious reliability measures such that reliability, availability, mean time to failure (MTTF), mean time to repair and cost analysis have also been analyzed. This article presents some geographic illustrations for the practical utility of the model.Originality/valueThe authors developed a mathematical model to analyze the reliability of the cloud computing transition system by considering the possible failures.

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Section: Literature Reviewmentioning

confidence: 99%

Reliability and Availability analysis of a cloud computing transition system under multiple failures

Manglik

Rawat

Ram

2020

IJQRM

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“…The availability of the designed power plant can be examined by taking the inverse Laplace transformation of Equation (18) and by putting the value of failure and repair rates as λ G =0.06, λ R =0.11, λ B =0.20, λ GB =0.30, λ C =0.03, λ CSF =0.01, μ =1, ϕ ( x )=1 (Rawal et al , 2015; Manglik and Ram, 2015; Le Gourieres, 2014; Singh et al , 2013). One may get the availability of the power plant as follows: …”

Section: Particular Cases and Their Numerical Computationsmentioning

confidence: 99%

“…Now varying input parameters one by one at 0.1, 0.2, …, 0.9, respectively, and setting the other failure rates as λ G =0.06, λ R =0.11, λ B =0.20, λ GB =0.30, λ C =0.03, λ CSF =0.01 (Manglik and Ram, 2015; Le Gourieres, 2014; Singh et al , 2013) in Equation (42a), MTTF with the variation in failure rates is signified in Table IV and its graphical representation is presented in Figure 6.…”

Section: Particular Cases and Their Numerical Computationsmentioning

confidence: 99%

Stochastic modelling of a wind electric generating power plant

Goyal

Ram

2017

IJQRM

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Purpose The purpose of this paper is to analyse the performance of a wind electric generating power plant through the study of reliability measures. The enhancement of the performance of the wind power plant using various approaches is also an objective of this paper. Design/methodology/approach This paper describes two models of a wind electric generating power plant using the Markov process and supplementary variable technique and solved with the help of Laplace transformation. The first model has been analyzed without fault coverage and Gumbel-Hougaard family of copula, while the second model of the wind power plant employs fault coverage and Gumbel-Hougaard family of copula which are used to enhance the performance. The proposed methodology is then illustrated in detail considering numerical examples. Findings Numerous reliability characteristics such as availability, reliability and mean time to failure to examine the performance of the wind power plant have been investigated. Through the comparative study of both the models, the authors concluded that the plant can generate electricity over long periods of time by covering more and more detected faults, which is made possible with two types of repair facility. Originality/value In this work, the authors have developed a mathematical model based on a wind electric generating power plant. This work incorporates not only the component failures that stop or degrade the working of the plant but also deals with the catastrophic and repair strategy of the plant.

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“…1 in which ''success criteria analysis'' provides PRA with supportive thermo-hydraulics (TH) calculations. Interested readers are referred to Ram (2013) for further details of a comprehensive PRA and its applications (Manglik and Ram 2015). Techniques such as Fault Tree Analysis (FTA) are also equally effective for evaluating the frequency of occurrence of unsafe events in PRA through system analysis as addressed in Fig.…”

Section: Introductionmentioning

confidence: 99%

Evaluating thermo-hydraulics uncertainties of success criteria in probabilistic risk assessment

Hoseyni

Karimi

Yousefpour³

2016

Int J Syst Assur Eng Manag

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Success criteria analysis in nuclear power plants is based on thermo-hydraulics (TH) evaluation of the plant response to postulated accidents for the development of a risk model. PRA (Probabilistic Risk Assessment) uncertainties originate from diverse sources, including uncertainty of success criteria. A comprehensive uncertainty treatment methodology is therefore needed for the quantification of PRA uncertainty considering the success criteria uncertainty. This paper covers the topic and introduces a systematic framework for this purpose. The proposed methodology is capable of including model uncertainty of success criteria in the plant risk model which is not formally performed in industrial practice. An extension is proposed for the traditional event trees to include a new top event for taking the effect of TH uncertainties into account. The required probability density function for this top event is obtained by performing TH uncertainty analysis and statistical interpretation of the obtained results. The application of the methodology is sought by its implementation on real case of loss of coolant accident in a PWR type nuclear power plant.

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Behavioural analysis of a hydroelectric production power plant under reworking scheme

Cited by 18 publications

References 23 publications

Reliability and Availability analysis of a cloud computing transition system under multiple failures

Reliability and Availability analysis of a cloud computing transition system under multiple failures

Stochastic modelling of a wind electric generating power plant

Evaluating thermo-hydraulics uncertainties of success criteria in probabilistic risk assessment

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