Multi-state system reliability: An emerging paradigm for sophisticated engineered systems

Yu LIU , Tangfan XIAHOU , Qin ZHANG , Liudong XING , Hong-Zhong HUANG

Front. Eng ›› 2024, Vol. 11 ›› Issue (3) : 568 -575.

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Front. Eng ›› 2024, Vol. 11 ›› Issue (3) : 568 -575. DOI: 10.1007/s42524-024-0140-8
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Multi-state system reliability: An emerging paradigm for sophisticated engineered systems

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Yu LIU, Tangfan XIAHOU, Qin ZHANG, Liudong XING, Hong-Zhong HUANG. Multi-state system reliability: An emerging paradigm for sophisticated engineered systems. Front. Eng, 2024, 11(3): 568-575 DOI:10.1007/s42524-024-0140-8

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References

[1]

Bellman R, Dreyfus S, (1958). Dynamic programming and the reliability of multicomponent devices. Operations Research, 1958, 6( 2): 200–206

[2]

Cai Z, Si S, Sun S, . (2016). Optimization of linear consecutive-k-out-of-n system with a Birnbaum importance-based genetic algorithm. Reliability Engineering & System Safety, 152: 248–258

[3]

Chen Y, Liu Y, Xiahou T, (2022). A deep reinforcement learning approach to dynamic loading strategy of repairable multistate systems. IEEE Transactions on Reliability, 71( 1): 484–499

[4]

ChenYLiu YXiahouT (2023). Dynamic inspection and maintenance scheduling for multi-state systems under time-varying demand: Proximal policy optimization. IISE Transactions

[5]

Codetta-Raiteri D, Bobbio A, Montani S, . (2012). A dynamic Bayesian network based framework to evaluate cascading effects in a power grid. Engineering Applications of Artificial Intelligence, 25( 4): 683–697

[6]

CoolenF P ACoolen-Maturi T (2012). Generalizing the signature to systems with multiple types of components. In: Complex Systems and Dependability. Springer Berlin Heidelberg: 115–130

[7]

EbelingC E (2019). An introduction to reliability and maintainability engineering. Waveland Press

[8]

Ghare P M, Taylor R E, (1969). Optimal redundancy for reliability in series systems. Operations Research, 17( 5): 838–847

[9]

GreenR CWang LAlamM, . (2011). State space pruning for reliability evaluation using binary particle swarm optimization. In: 2011 IEEE/PES Power Systems Conference and Exposition. IEEE, 1–7

[10]

Hirsch W M, Meisner M, Boll C, (1968). Cannibalization in multicomponent systems and theory of reliability. Naval Research Logistics Quarterly, 15( 3): 331–360

[11]

Jafary B, Fiondella L, (2016). A universal generating function-based multi-state system performance model subject to correlated failures. Reliability Engineering & System Safety, 152: 16–27

[12]

Jiang T, Liu Y, (2017). Parameter inference for non-repairable multi-state system reliability models by multi-level observation sequences. Reliability Engineering & System Safety, 166: 3–15

[13]

Levitin G, (2004). A universal generating function approach for the analysis of multi-state systems with dependent elements. Reliability Engineering & System Safety, 84( 3): 285–292

[14]

Levitin G, Finkelstein M, Dai Y, (2020a). Mission abort and rescue for multistate systems operating under the Poisson process of shocks. Reliability Engineering & System Safety, 202: 107027

[15]

Levitin G, Finkelstein M, Dai Y, (2020b). State-based mission abort policies for multistate systems. Reliability Engineering & System Safety, 204: 107122

[16]

Li W, Zuo M J, (2008). Reliability evaluation of multi-state weighted k-out-of-n systems. Reliability Engineering & System Safety, 93( 1): 160–167

[17]

Li Y F, Huang H Z, Mi J, . (2022). Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability. Annals of Operations Research, 311: 195–209

[18]

LisnianskiAFrenkel IKaragrigoriouA (2018). Recent Advances in Multistate Systems Reliability. Springer

[19]

LisnianskiALevitin G (2003). Multi-state system reliability: Assessment, optimization and applications. World Scientific

[20]

Liu T, Bai G, Tao J, . (2021). An improved bounding algorithm for approximating multistate network reliability based on state-space decomposition method. Reliability Engineering & System Safety, 210: 107500

[21]

Liu X, Wang X, Xie J, . (2020). Construction of probability box model based on maximum entropy principle and corresponding hybrid reliability analysis approach. Structural and Multidisciplinary Optimization, 61( 2): 599–617

[22]

Liu Y, Chen Y M, Jiang T, (2018). On sequence planning for selective maintenance of multi-state systems under stochastic maintenance durations. European Journal of Operational Research, 268( 1): 113–127

[23]

Liu Y, Gao J, Jiang T, . (2022). Selective maintenance and inspection optimization for partially observable systems: An interactively sequential decision framework. IISE Transactions, 55( 5): 463–479

[24]

Liu Y, Huang H Z, (2010). Optimal replacement policy for multi-state system under imperfect maintenance. IEEE Transactions on Reliability, 59( 3): 483–495

[25]

Mo Y, Xing L, Dugan J B, (2014). MDD-based method for efficient analysis on phased-mission systems with multimode failures. IEEE Transactions on Systems, Man, and Cybernetics. Systems, 44( 6): 757–769

[26]

MoghaddassRZuo M JZhaoX (2013). Modeling multi-state equipment degradation with non-homogeneous continuous-time hidden semi-Markov process. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques. IGI Global, 151–181

[27]

NatvigB (2011). Multistate Systems Reliability Theory with Applications. Wiley

[28]

PetriC A (1966). Communication with Automation. Griffis, NY: Rome Air Development Center

[29]

Qiu Q, Maillart L M, Prokopyev O A, . (2023). Optimal condition-based mission abort decisions. IEEE Transactions on Reliability, 72( 1): 408–425

[30]

Qiu S, Ming X, (2020). An extended Birnbaum importance-based two-stage heuristic for component assignment problems under uncertainty. Reliability Engineering & System Safety, 204: 107134

[31]

Qiu S, Sallak M, Schön W, . (2017). Application of valuation-based systems for the availability assessment of systems under uncertainty. Control Engineering Practice, 66: 39–50

[32]

Samaniego F J, (1985). On closure of the IFR class under formation of coherent systems. IEEE Transactions on Reliability, 34( 1): 69–72

[33]

Shen Z, Wang Y, Huang X, (2003). A quantification algorithm for a repairable system in the GO methodology. Reliability Engineering & System Safety, 80( 3): 293–298

[34]

Soleimani M, Campean F, Neagu D, (2021). Integration of hidden Markov modelling and Bayesian network for fault detection and prediction of complex engineered systems. Reliability Engineering & System Safety, 215: 107808

[35]

Son K S, Seong S H, Kang H G, . (2020). Development of state-based integrated dependability model of RPS in NPPs considering CCF and periodic testing effects at the early design phase. Reliability Engineering & System Safety, 193: 106645

[36]

Sun M X, Li Y F, Zio E, (2019). On the optimal redundancy allocation for multi-state series-parallel systems under epistemic uncertainty. Reliability Engineering & System Safety, 192: 106019

[37]

Sun Q, Ye Z S, Zhu X, (2020). Managing component degradation in series systems for balancing degradation through reallocation and maintenance. IISE Transactions, 52( 7): 797–810

[38]

Taleb-Berrouane M, Khan F, Amyotte P, (2020). Bayesian Stochastic Petri Nets (BSPN)—A new modelling tool for dynamic safety and reliability analysis. Reliability Engineering & System Safety, 193: 106587

[39]

UrgunDSingh C (2019). LSTM networks to evaluate composite power system reliability evaluation with injected wind power. In: 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE: 1–5

[40]

Ushakov I A, (1986). A universal generating function. Soviet Journal of Computer and Systems Sciences, 24( 5): 118–129

[41]

Wu B, Cui L, Fang C, (2019). Reliability analysis of semi-Markov systems with restriction on transition times. Reliability Engineering & System Safety, 190: 106516

[42]

Xiahou T, Liu Y, (2020). Reliability bounds for multi-state systems by fusing multiple sources of imprecise information. IISE Transactions, 52( 9): 1014–1031

[43]

Xiahou T, Liu Y, Jiang T, (2018). Extended composite importance measures for multi-state systems with epistemic uncertainty of state assignment. Mechanical Systems and Signal Processing, 109: 305–329

[44]

XingLAmari S V (2015). Binary Decision Diagrams and Extensions for System Reliability Analysis. John Wiley & Sons

[45]

Xu B, Liu T, Bai G, . (2022). A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity. Reliability Engineering & System Safety, 219: 108221

[46]

Ye T Y, Liu L L, Pang H W, . (2023). Bayesian Networks based approach to enhance GO methodology for reliability modeling of multi-state consecutive-k-out-of-n: F system. Reliability Engineering & System Safety, 229: 108828

[47]

Yi H, Cui L, Balakrishnan N, (2021a). New reliability indices for first-and second-order discrete-time aggregated semi-Markov systems with an application to TT&C system. Reliability Engineering & System Safety, 215: 107882

[48]

Yi H, Cui L, Balakrishnan N, (2021b). Computation of survival signatures for multi-state consecutive-k systems. Reliability Engineering & System Safety, 208: 107429

[49]

Zhai Q, Xing L, Peng R, . (2015). Multi-valued decision diagram-based reliability analysis of k-out-of-n cold standby systems subject to scheduled backups. IEEE Transactions on Reliability, 64( 4): 1310–1324

[50]

Zhang H, Li Y F, (2022). Robust optimization on redundancy allocation problems in multi-state and continuous-state series-parallel systems. Reliability Engineering & System Safety, 218: 108134

[51]

Zhao Y, Gao W, Smidts C, (2021). Sequential Bayesian inference of transition rates in the hidden Markov model for multi-state system degradation. Reliability Engineering & System Safety, 214: 107662

[52]

Zhu X, Fu Y, Yuan T, . (2017). Birnbaum importance based heuristics for multi-type component assignment problems. Reliability Engineering & System Safety, 165: 209–221

[53]

Zuo M, Kuo W, (1990). Design and performance analysis of consecutive-k-out-of-n structure. Naval Research Logistics, 37( 2): 203–230

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