Availability assessment of a two-unit stand-by pumping system

Raje, Dhananjay; Olaniya, R. S.; Wakhare, P. D.; Deshpande, Ashok

doi:10.1016/s0951-8320(00)00015-6

Cited by 17 publications

(16 citation statements)

References 2 publications

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“…For this purpose they are used Pareto Analysis to identified the significance of the subsystems in coal fired thermal power plant and applied the Wei bull distribution functions for develop the mathematical equations of the given working plant as well as used the some Goodness of Fit test like subsystem Test and Kolmogorove -Smirov Test for select the suitable maintenance policy of the coal fired thermal power plant in eastern region India. D.V.Rajee et al [11] discussed in detail about the pumping system of oil refinery industry. According to this research they are understand the pumping system and analysis the availability function of the subsystems in the refinery industry then they produced the best availability Simulation model of the pumping systems in refinery industry by using the Markovian approach of the two stage pumping system in oil refinery industry.…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability Availability Maintainability Analysis in Forming Industry

2019

IJEAT

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The availability of the machine is the major consideration of all manufacturing industries. This activity leads to decide productivity of the industry. This research paper explained in detail about the availability analysis of the Timing Belt (V-Belt) manufacturing systems in the rubber industry. The performance of the belt manufacturing systems is analyzed by using the Markovian Birth-Death approach in all conditions of the systems like Raw, Reduced capacity and Repair (RRR). The transition diagram of the belt manufacturing process is drawn by the actual layout of the belt manufacturing process in the rubber industry and then developed the first-order differential and steady-state mathematical equation of the belt manufacturing process in the rubber industry. This approach is most widely used for sequence operation problems and this is the suitable mathematical model for the performance analysis of systems because this model predicts the future sequence of the model with respect to the current sequence model of the process industry. This approach can easily denote the repairable systems of all conditions (RRR). The main goal of this research analysis is to identify the effective subsystem of the belt manufacturing process in the rubber industry by the graphical representation of the changes in the availability and variations of the failure, repair rate of the subsystem of the best manufacturing process in the rubber industry. The variety of the failure rate and repair rate of the systems and the decision matrix of the subsystems is developed by the Markovian Birth-Death approach. The mathematical equations of all subsystems are solved by using MATLAB programming.

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Section: Literature Reviewmentioning

confidence: 99%

Reliability Availability Maintainability Analysis in Forming Industry

2019

IJEAT

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“…(iii) It should be remarked that even the simplest case K = 1 has several tantalizing technical applications, for example, [7]. Therefore, we consider the case K = 1 in detail.…”

Section: The Survival Functionmentioning

confidence: 99%

On the reliability of a renewable multiple cold standby system

Vanderperre

2005

Mathematical Problems in Engineering

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“…Researchers tend to use Markov models to assess dynamic availability or semi-Markov models using Laplace transforms to determine average performance measures (Dekker and Groenendijk 1995;Faghih-Roohi et al 2014). However, such approaches have been criticised as too restrictive to tackle practical problems; they assume constant failure and repair rates which is not likely to be the case in the real world (Raje et al 2000;Marquez et al 2005). Furthermore, the time dependent availability obtained by a Markovian assumption is actually not valid for non-Markovian processes (Raje et al 2000).…”

Section: Introductionmentioning

confidence: 99%

“…However, such approaches have been criticised as too restrictive to tackle practical problems; they assume constant failure and repair rates which is not likely to be the case in the real world (Raje et al 2000;Marquez et al 2005). Furthermore, the time dependent availability obtained by a Markovian assumption is actually not valid for non-Markovian processes (Raje et al 2000).…”

Section: Introductionmentioning

confidence: 99%

“…Simulation techniques estimate availability by simulating the actual process and random behaviour of the system. The advantage is that non-Markov failures and repair processes can be modelled easily (Raje et al 2000). Recent research is working on developing Monte Carlo techniques to model the behaviour of complex systems under realistic time-dependent operational conditions (Marquez et al 2005;Marquez and Iung 2007;Yasseri and Bahai 2018) or to model multi-state systems with operational dependencies (Zio et al 2007).…”

Section: Introductionmentioning

confidence: 99%

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System availability assessment using a parametric Bayesian approach: a case study of balling drums

Saari

Lin

Zhang

et al. 2019

Int J Syst Assur Eng Manag

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Assessment of system availability usually uses either an analytical (e.g., Markov/semi-Markov) or a simulation approach (e.g., Monte Carlo simulation-based). However, the former cannot handle complicated state changes and the latter is computationally expensive. Traditional Bayesian approaches may solve these problems; however, because of their computational difficulties, they are not widely applied. The recent proliferation of Markov Chain Monte Carlo (MCMC) approaches have led to the use of the Bayesian inference in a wide variety of fields. This study proposes a new approach to system availability assessment: a parametric Bayesian approach using MCMC, an approach that takes advantages of the analytical and simulation methods. By using this approach, mean time to failure (MTTF) and mean time to repair (MTTR) are treated as distributions instead of being ''averaged'', which better reflects reality and compensates for the limitations of simulation data sample size. To demonstrate the approach, the paper considers a case study of a balling drum system in a mining company. In this system, MTTF and MTTR are determined in a Bayesian Weibull model and a Bayesian lognormal model respectively. The results show that the proposed approach can integrate the analytical and simulation methods to assess system availability and could be applied to other technical problems in asset management (e.g., other industries, other systems).

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Availability assessment of a two-unit stand-by pumping system

Cited by 17 publications

References 2 publications

Reliability Availability Maintainability Analysis in Forming Industry

Reliability Availability Maintainability Analysis in Forming Industry

On the reliability of a renewable multiple cold standby system

System availability assessment using a parametric Bayesian approach: a case study of balling drums

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