Reliability Evaluation of Repairable Parallel-Series Multi-State System Implementing Interval Valued Universal Generating Function

In this paper, we have studied a repairable parallel-series multi-state system. The proposed system consists of m components in series and n components in parallel in which each component has three possible states. The interval universal generating function (IUGF) is presented, and the corresponding composition operators are defined. The reliability assessment of the considered system is done with the help of the IUGF approach. It is worth mentioning that IUGF got attention from various researchers due to its straightforwardness, less complexity, and universal applications. In the present model, probabilities of different components, reliability, sensitivity, and mean time to failure are evaluated with the help of the Markov process; Laplace-Steiltjes transform method applying IUGF. A numerical example has also been taken to illustrate the proposed technique. Journal of Reliability and Statistical Studies, Vol. 14, Issue 1 (2021), 81–120. doi: 10.13052/jrss0974-8024.1415 © 2021 River Publishers

[1]  Wenqing Wu,et al.  Reliability analysis of a k-out-of-n:G repairable system with single vacation , 2014 .

[2]  Bora Çekyay,et al.  Reliability, MTTF and steady-state availability analysis of systems with exponential lifetimes , 2015 .

[3]  Km. Meenakshi and S.B. Singh July 2016 - P2 - Availability Assessment of Multi-State System by Hybrid Universal Generating Function and Probability Intervals , 2016 .

[4]  László Pokorádi Sensitivity analysis of reliability of Systems with Complex Interconnections , 2014 .

[5]  Akshay Kumar,et al.  Interval-valued reliability assessment of 2-out-of-4 system , 2016, 2016 International Conference on Emerging Trends in Communication Technologies (ETCT).

[6]  Seema Negi,et al.  Reliability analysis of non-repairable complex system with weighted subsystems connected in series , 2015, Appl. Math. Comput..

[7]  Hong-Zhong Huang,et al.  A discrete stress-strength interference model based on universal generating function , 2008, Reliab. Eng. Syst. Saf..

[8]  Junlin Xiong,et al.  A study of interval analysis for cold-standby system reliability optimization under parameter uncertainty , 2016, Comput. Ind. Eng..

[9]  Xun Chen,et al.  Interval-Valued Reliability Analysis of Multi-State Systems , 2011, IEEE Transactions on Reliability.

[10]  A. De,et al.  An Inhibitor of Nonhomologous End-Joining Abrogates Double-Strand Break Repair and Impedes Cancer Progression , 2012, Cell.

[11]  Gregory Levitin,et al.  Minimum Mission Cost Cold-Standby Sequencing in Non-Repairable Multi-Phase Systems , 2014, IEEE Transactions on Reliability.

[12]  Lev V. Utkin,et al.  Interval-Valued Finite Markov Chains , 2002, Reliab. Comput..

[13]  Yong Wang,et al.  Effects of Uncertainty in Both Component Reliability and Load Demand on Multistate System Reliability , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[14]  Danyang Li,et al.  Analysis of Interval-Valued Reliability of Multi-State System in Consideration of Epistemic Uncertainty , 2016, 3PGCIC.

[15]  Ritu Gupta,et al.  Optimal replacement policy for a repairable system with multiple vacations and imperfect fault coverage , 2013, Comput. Ind. Eng..

[16]  Zhen Zhang,et al.  Interval-valued Evidence Updating with Reliability and Sensitivity Analysis for Fault Diagnosis , 2016, Int. J. Comput. Intell. Syst..

[17]  Seyed Taghi Akhavan Niaki,et al.  Reliability evaluation of non-reparable three-state systems using Markov model and its comparison with the UGF and the recursive methods , 2014, Reliab. Eng. Syst. Saf..

[18]  R. K. Gupta,et al.  A GA based penalty function technique for solving constrained redundancy allocation problem of series system with interval valued reliability of components , 2009, J. Comput. Appl. Math..

[19]  Tseng-Chang Yen,et al.  Reliability and sensitivity analysis of a repairable system with imperfect coverage under service pressure condition , 2013 .

[20]  Yi Ding,et al.  Redundancy analysis for repairable multi-state system by using combined stochastic processes methods and universal generating function technique , 2009, Reliab. Eng. Syst. Saf..

[21]  M. A. Campos,et al.  Interval Enclosures for Reliability Metrics , 2016 .

[22]  Gregory Levitin,et al.  BDD-based reliability evaluation of phased-mission systems with internal/external common-cause failures , 2013, Reliab. Eng. Syst. Saf..

[23]  Min Zhu,et al.  B4: experience with a globally-deployed software defined wan , 2013, SIGCOMM.