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Research Article

On reliability assessment of weighted k-out-of-n systems with multiple types of components

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Pages 656-673 | Received 09 Jan 2022, Accepted 21 Mar 2023, Published online: 24 Jul 2023

References

  • Atashgar, K., & Abdollahzadeh, H. (2017). A joint reliability and imperfect opportunistic maintenance optimization for a multi state weighted k-out-of-n system considering economic dependence and periodic inspection. Quality and Reliability Engineering International, 33(88), 1685–1707. https://doi.org/10.1002/qre.2136
  • Barlow, R., & Proschan, F. (1981). Statistical Theory of Reliability and Life Testing: Probability models. Hold, Reinhart and Wiston, Inc.
  • Chen, Y., & Yang, Q. (2005). Reliability of two-stage weighted-k-out-of-n systems with components in common. IEEE Transactions on Reliability, 54(3), 431–440. https://doi.org/10.1109/TR.2005.853274
  • Cook, J. L. (2018). Reliability analysis of weighted k-out-of-n systems with variable demand. Quality Engineering, 30(4), 687–693. https://doi.org/10.1080/08982112.2018.1506132
  • Coolen, F. P., & Coolen-Maturi, T. (2012). Generalizing the signature to systems with multiple types of components. In Complex systems and dependability (pp. 115–130). Springer. https://doi.org/10.1007/978-3-642-30662-4_8
  • Eryilmaz, S. (2013a). On mean residual life of discrete time multi-state systems. Quality Technology & Quantitative Management, 10(2), 241–250. https://doi.org/10.1080/16843703.2013.11673319
  • Eryilmaz, S. (2013b). On reliability analysis of a k-out-of-n system with components having random weights. Reliability Engineering & System Safety, 109, 41–44. https://doi.org/10.1016/j.ress.2012.07.010
  • Eryilmaz, S. (2019). (k1, k2, ,km)-out-of-n system and its reliability. Journal of Computational and Applied Mathematics, 346(346), 591–598. https://doi.org/10.1016/j.cam.2018.07.036
  • Eryilmaz, S. and Bozbulut, A. R. (2019). Reliability analysis of weighted k-out-of-n system consisting of three-state components. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233(6), 972–977.
  • Eryilmaz, S., Coolen, F. P., & Coolen-Maturi, T. (2018). Mean residual life of coherent systems consisting of multiple types of dependent components. Naval Research Logistics (NRL), 65(1), 86–97. https://doi.org/10.1002/nav.21782
  • Eryilmaz, S., & Kan, C. (2020). Reliability based modeling and analysis for a wind power system integrated by two wind farms considering wind speed dependence. Reliability Engineering & System Safety, 203, 107077. https://doi.org/10.1016/j.ress.2020.107077
  • Eryilmaz, S., & Sarikaya, K. (2014). Modeling and analysis of weighted k-out-of-n: G system consisting of two different types of components. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 228(3), 265–271. https://doi.org/10.1177/1748006X13515647
  • Faghih-Roohi, S., Xie, M., Ng, K. M., & Yam, R. C. M. (2014). Dynamic availability assessment and optimal component design of multi-state weighted k-out-of-n systems. Reliability Engineering & System Safety, 123, 57–62. https://doi.org/10.1016/j.ress.2013.10.002
  • Feller, W. (1968). Probability theory and its applications. Wiley.
  • Feng, G., Patelli, E., Beer, M., & Coolen, F. P. A. (2016). Imprecise system reliability and component importance based on survival signature. Reliability Engineering & System Safety, 150, 116–125. https://doi.org/10.1016/j.ress.2016.01.019
  • Franko, C., & Tütüncü, G. Y. (2016). Signature based reliability analysis of repairable weighted k-out-of- n: G systems. IEEE Transactions on Reliability, 65(2), 843–850. https://doi.org/10.1109/TR.2015.2499959
  • Hamdan, K., Tavangar, M., & Asadi, M. (2020). Optimal preventive maintenance for repairable weighted k-out-of-n systems. Reliability Engineering & System Safety, 205, 107267. https://doi.org/10.1016/j.ress.2020.107267
  • Han, X., Wang, Z., Xie, M., He, Y., Li, Y., & Wang, W. (2021). Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence. Reliability Engineering & System Safety, 210, 107560. https://doi.org/10.1016/j.ress.2021.107560
  • Hashemi, M., Asadi, M., & Zarezadeh, S. (2020). Optimal maintenance policies for coherent systems with multi-type components. Reliability Engineering & System Safety, 195, 106674. https://doi.org/10.1016/j.ress.2019.106674
  • He, Y., Zhao, Y., Han, X., Zhou, D., & Wang, W. (2020). Functional risk-oriented health prognosis approach for intelligent manufacturing systems. Reliability Engineering & System Safety, 203, 107090. https://doi.org/10.1016/j.ress.2020.107090
  • Hu, Y., Lin, Y., Ding, Y., Chen, X., & Zeng, Z. (2021). Screening of optimal structure among large-scale multi-state weighted k-out-of-n systems considering reliability evaluation. Reliability Engineering & System Safety, 206, 107268. https://doi.org/10.1016/j.ress.2020.107268
  • Justus, C. G., Hargraves, W. R., Mikhail, A., & Graber, D. (1978). Methods for estimating wind speed frequency distributions. Journal of Applied Meteorology, 17(3), 350–353. https://doi.org/10.1175/1520-0450(1978)017<0350:MFEWSF>2.0.CO;2
  • Khorshidi, H. A., Gunawan, I., & Ibrahim, Y. (2016). A dynamic unreliability assessment and optimal maintenance strategies for multistate weightedk-out-of-n: F systems. Applied Stochastic Models in Business and Industry, 32(4), 485–493. https://doi.org/10.1002/asmb.2173
  • Larsen, E. M., Ding, Y., Li, Y. F., & Zio, E. (2020). Definitions of generalized multi-performance weighted multi-state K-out-of-n system and its reliability evaluations. Reliability Engineering & System Safety, 199, 105876. https://doi.org/10.1016/j.ress.2017.06.009
  • Liu, Y. W., & Kapur, K. C. (2010). Customer-Centered multi-state system reliability and repair models. Quality Technology & Quantitative Management, 7(4), 385–394. https://doi.org/10.1080/16843703.2010.11673240
  • Li, W., & Zuo, M. J. (2008a). Optimal design of multi-state weighted k-out-of-n systems based on component design. Reliability Engineering & System Safety, 93(11), 1673–1681. https://doi.org/10.1016/j.ress.2008.01.009
  • Li, W., & Zuo, M. J. (2008b). Reliability evaluation of multi-state weighted k-out-of-n systems. Reliability Engineering & System Safety, 93(1), 160–167. https://doi.org/10.1016/j.ress.2006.11.009
  • Louie, H., & Sloughter, J. M. (2014). Probabilistic modeling and statistical characteristics of aggregate wind power. In Large scale renewable power generation (pp. 19–51). Springer Singapore. https://doi.org/10.1007/978-981-4585-30-9_2
  • Salehi, M., Shishebor, Z., & Asadi, M. (2019). On the reliability modeling of weighted k-out-of-n systems with randomly chosen components. Metrika, 82(5), 589–605. https://doi.org/10.1007/s00184-018-0691-y
  • Samaniego, F. J. (1985). On closure of the IFR class under formation of coherent systems. IEEE Transactions on Reliability, 34(1), 69–72. https://doi.org/10.1109/TR.1985.5221935
  • Samaniego, F. J., & Shaked, M. (2008). Systems with weighted components. Statistics and Probability Letters, 78(6), 815–823. https://doi.org/10.1016/j.spl.2007.09.049
  • Torrado, N. (2021). Comparing the reliability of coherent systems with heterogeneous, dependent and distribution-free components. Quality Technology & Quantitative Management, 18(6), 740–770. https://doi.org/10.1080/16843703.2021.1963033
  • Tuzuner, A. and Yu, Z. (2008). A theoretical analysis on parameter estimation for the Weibull wind speed distribution. In 2008 IEEE Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, Pittsburgh, PA, USA, 1–6.
  • Wang, L., Jia, X., & Zhang, J. (2013). Reliability evaluation for multi-state Markov repairable systems with redundant dependencies. Quality Technology & Quantitative Management, 10(3), 277–289. https://doi.org/10.1080/16843703.2013.11673414
  • Wu, J., & Chen, R. (1994). An algorithm for computing the reliability of weighted k-out-of-n systems. IEEE Transactions on Reliability, 43(2), 327–328. https://doi.org/10.1109/24.295016
  • Zhang, Y. (2020). Reliability analysis of randomly weighted k-out-of-n systems with heterogeneous components. Reliability Engineering & System Safety, 205, 107184. https://doi.org/10.1016/j.ress.2020.107184
  • Zhang, Y., Ding, W., & Zhao, P. (2018). On total capacity of k-out-of-n systems with random weights. Naval Research Logistics (NRL), 65(4), 347–359. https://doi.org/10.1002/nav.21810

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