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Reliability, Availability, Maintainability, and Dependability Analysis of Cold Standby Series-Parallel System

Muktar Umar Danjuma, Bashir Adegbemiga Yusuf, İbrahim Yusuf

2022Journal of Computational and Cognitive Engineering40 citationsDOIOpen Access PDF

Abstract

This paper dealt with the evaluation reliability, availability, maintainability, dependability, mean time between failures, and mean time to failure of series-parallel system. The system under investigation has four subsystems, namely subsystem A containing two units in cold standby, subsystem B and C possess one unit each, and subsystem D has two units in cold standby. Through the transition diagram of each subsystem and the Markov birth–death process, Chapman Kolmogorov forward equations are derived. Both failure and repair rates of units in each subsystem are assumed to follow exponential distribution. The objective is to derive the corresponding reliability models of dependability, availability, maintainability, and reliability and capture the effect of system parameters on reliability, availability, maintainability, and dependability and to determine the critical subsystems. On the basis of numerical results obtained, the system’s performance has been evaluated. Moreover, the outcome of this study shows that the ideal system reliability can be achieved when the overall system failure rate is low and the supporting units are activated. Received: 18 December 2021 | Revised: 1 April 2022 | Accepted: 2 April 2022 Conflicts of Interest The authors declare that they have no conflicts of interest to this work.

Topics & Concepts

MaintainabilityDependabilityReliability engineeringMean time between failuresReliability (semiconductor)Failure rateReliability block diagramMarkov processExponential distributionMarkov chainMarkov modelComputer scienceEngineeringFault tree analysisMathematicsStatisticsQuantum mechanicsPower (physics)PhysicsMachine learningReliability and Maintenance OptimizationStatistical Distribution Estimation and ApplicationsProbabilistic and Robust Engineering Design
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