Availability assessment methods and their application in practice

Dekke, Rommert; Groenendijk, Wim

doi:10.1016/0026-2714(95)99376-t

Cited by 22 publications

(12 citation statements)

References 4 publications

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“…The most common used methods are Fault Tree (FT) [3,7,10], Reliability Bloch Diagram (RBD) [13,14], Reliability graph (RG) [15], Markov Chain [16,17], and Monte Carlo Simulation [18]. Each method has its own advantages and disadvantages [10,3,19]. FTD and RBD are widely used in the system reliability analysis in order to construct the model that represents time to failure of the entire system based on the life distribution of the components, subsystems (or subassemblies) or assemblies.…”

Section: System Reliability a Alysis Methodsmentioning

confidence: 99%

“…Most methods are based on the total probability theorem, such as Decomposition method and Factoring Algorithm, in which a keystone components ( ) should be defined and then the reliability of the system can be expressed as: (1) The most common approach that is widely used for determining reliability of a complex system is based on the idea of a Tie-set (Path-set) or a Cut-set. A tie-set is a complete path through the RBD and a cut set is a set of blocks (components) which interrupts all connections between the input and the output ends when removed from the RBD [6,19].…”

Section: Complex Systems Reliability Assessme T Methodsmentioning

confidence: 99%

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System reliability assessment incorporating interface and function failure

Mobin

2015

2015 Annual Reliability and Maintainability Symposium (RAMS)

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This paper proposes a new perspective and method to model system reliability by analyzing a system's functional and interface/interaction failure. System failure is evaluated based on the functions that a system is designed to deliver. Functional failures can be attributed to physical componentlevel failure as well as the interface failure. A new system reliability modeling framework is developed to quantify the reliability performance through system function and interface analysis. Interfaces failure and possible multiple functions failure can then be integrated into the traditional fault tree and reliability block diagram reliability analysis. The research is motivated by the high proportion of Non-Defect Found or "NDF" in failure analysis of complex engineering systems, which has been attributed to the lack of interface failure analyses. The proposed function and interface analysis based system reliability method is demonstrated through assessing and modeling the reliability of a power assembly system in a diesel-electric engine.

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Section: System Reliability a Alysis Methodsmentioning

confidence: 99%

Section: Complex Systems Reliability Assessme T Methodsmentioning

confidence: 99%

System reliability assessment incorporating interface and function failure

Mobin

2015

2015 Annual Reliability and Maintainability Symposium (RAMS)

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“…Bernardin Peros performed a RAM analysis of the bearing capacity of structures considering dynamic actions of dominant wind load [15]. Dekker and Groenendijk [16] discussed typical applications of various RAM tools in certain industrial practices. Singh and Garg [17] performed an availability assessment of a plywood manufacturing plant using the Markov technique.…”

Section: Literature Reviewmentioning

confidence: 99%

Petri Nets Modelling and Analysis of the Veneer Layup System of Plywood Manufacturing Plant

Kumar

Tewari

Sachdeva

2020

IJEM

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In this paper performance behaviour is analysed in respect of the availability of the Veneer layup system of a plywood manufacturing plant. Generalized Stochastic Petri Nets (GSPN) technique is applied for modelling interactions among various components as well as the subsystems. The effects of the failure and repair rates, as well as availability of repair facilities on the behaviour of the system is investigated using a licensed software package. The outcomes will provide guidelines for the effective maintenance priorities to the practitioners and help in selecting appropriate maintenance strategies.

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“…In general, analytic techniques represent the system using direct mathematical solutions from applied probability theory to make statements on various performance measures, such as the steady-state availability or the interval availability (Dekker and Groenendijk 1995;Ocnasu 2007). 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).…”

Section: Introductionmentioning

confidence: 99%

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 methods and their application in practice

Cited by 22 publications

References 4 publications

System reliability assessment incorporating interface and function failure

System reliability assessment incorporating interface and function failure

Petri Nets Modelling and Analysis of the Veneer Layup System of Plywood Manufacturing Plant

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

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