Dynamic Reliability Measures of Multi-state k-out-of-n Systems Using Lz-transform
DOI:
https://doi.org/10.13052/jrss0974-8024.1815Keywords:
Lz-transform, reliability, availability, universal generating functionAbstract
In system engineering, k-out-of-n multi-state system is one of the important systems as it finds wide application in many complex engineering structures. In earlier studies, k-out-of-n multi-state systems were usually thought to be operated in non dynamic state. However, in reality, these systems can have components whose states change over time, making them dynamic in nature. To tackle this, we propose a method utilizing the Lz-transform to obtain the dynamic reliability measures of such systems. The system’s components are presumptively Markov-process compliant and are only repaired after a total failure. In the proposed research work the reliability, availability, instantaneous performance expected, and deficiency in performance are found for the system under consideration. Lastly, a real-life example of the oil supply system is investigated to authenticate the proposed approach. It was observed that the reliability and availability of the oil supply system decline as the minimum number of required components in different states increases.
Downloads
References
Barlow, R. E., and Wu, A. S. (1978). Coherent systems with multi-state components. Mathematics of operations research, 3(4), 275–281.
Bisht, V., and Singh, S. B. (2022). Reliability Analysis of 8 ×
SEN – Using UGF Method. In: Ram, M., Pham, H. (eds) Reliability and Maintainability Assessment of Industrial Systems. Springer Series in Reliability Engineering. Springer, Cham.
Bisht, V., and Singh, S. B. (2021). Reliability Estimation of 4 ×
SENs Using UGF Method. Journal of Reliability and Statistical Studies, 14(1), 173–198.
Boedigheimer, R. A., and Kapur, K. C. (1994). Customer-driven reliability models for multistate coherent systems. IEEE Transactions on reliability, 43(1), 46–50.
El-Neweihi, E., Proschan, F., and Sethuraman, J. (1978). Multistate coherent systems. Journal of Applied Probability, 15(4), 675–688.
Eryilmaz, S. (2014). Lifetime of multistate k-out-of-n systems. Quality and Reliability Engineering International, 30(7), 1015–1022.
Frenkel I., L. Khvatskin, S. Daichman and A. Lisnianski, “Assessing Water Cooling System Performance: Lz-Transform Method,” 2013 International Conference on Availability, Reliability and Security, Regensburg, Germany, 2013, pp. 737–742.
Frenkel I., Bolvashenkov, I., Khvatskin, L. and Lisnianski, A.(2018). The Lz-Transform Method for the Reliability and Fault Tolerance Assessment of Norilsk-Type Ship’s Diesel-Geared Traction Drives. Transport and Telecommunication Journal, 19(4), 284–293.
Huang, J., Zuo, M. J., and Wu, Y. (2000). Generalized multi-state k-out-of-n: G systems. IEEE Transactions on reliability, 49(1), 105–111.
Khati, A., and Singh, S. B. (2021). Reliability assessment of replaceable shuffle-exchange network by using interval-valued universal generating function. In The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling (pp. 419–455). Academic Press.
Kuo W, Zuo M J. Optimal reliability modeling: principles and applications. John Wiley & Sons, 2003.
Li, W., and Zuo, M. J. (2008). Optimal design of multi-state weighted k/n systems based on component design. Reliability Engineering & System Safety, 93(11), 1673–1681.
Li, W., and Zuo, M. J. (2008). Reliability evaluation of multi-state weighted k/n systems. Reliability engineering & system safety, 93(1), 160–167.
Lisnianski, A. (2012). L z-Transform for a discrete-state continuous-time Markov process and its applications to multi-state system reliability. In Recent advances in system reliability (pp. 79–95). Springer, London.
Lisnianski, A., and Haim, H. B. (2013). Short-term reliability evaluation for power stations by using Lz-transform. Journal of Modern Power Systems and Clean Energy, 1(2), 110–117.
Lisnianski A, Frenkel I, Khvatskin L. Modern Dynamic Reliability Analysis for Multi-state Systems. In Springer Series in Reliability Engineering, Springer; 2021.
Lisnianski A. and Levitin G. Multi-state System Reliability: Assessment, Optimization and Applications. New Jersey: World Scientific 2003.
Negi, S., and Singh, S. B. (2015). Reliability analysis of non-repairable complex system with weighted subsystems connected in series. Applied Mathematics and Computation, 262, 79–89.
Qin, J., and Li, Z. (2019). Reliability and sensitivity analysis method for a multistate system with common cause failure. Complexity, 2019.
Tian Z, Zuo MJ. (2009) Yam RCM. Multi-state k/n systems and their performance evaluation. IIE Trans; 41: 32–44.
Ushakov, I. A. (1986). A universal generating function. Soviet Journal of Computer and Systems Sciences, 24(5), 118–129.
Yeh, W. C. (2008). A simple universal generating function method for estimating the reliability of general multi-state node networks. Iie Transactions, 41(1), 3–11.
Zhao, X., Wu, C., Wang, S., and Wang, X. (2018). Reliability analysis of multi-state k-out-of-n: G system with common bus performance sharing. Computers & Industrial Engineering, 124, 359–369.
Zuo, M. J., and Tian, Z. (2006). Performance evaluation of generalized multi-state k/n systems. IEEE Transactions on Reliability, 55(2), 319–327.
Bisht, V., and Singh, S. B. (2023). Lz-transform approach to evaluate reliability indices of multi-state repairable weighted K-out-of-n systems. Quality and Reliability Engineering International, 39(3), 1043–1057.
Bisht, V., and Singh, S. B. (2024). Interval valued reliability indices assessment of multi-state system using interval Lz-transform. International Journal of System Assurance Engineering and Management, 15(7), 3293–3305.
Chopra, G., and Ram, M. (2022). Linear Consecutive-k-out-of-n: G System Reliability Analysis. Journal of Reliability and Statistical Studies, 15(2), 669–692.
Singh, A., Bisht, V., and Singh, S. B. (2024). Reliability indices of multi-state repairable m-out-of-r-within-k/n system using Lz-transform method. Communications in Statistics-Theory and Methods, 1–18.
Bisht, V., and Singh, S. B. (2024). Dynamic reliability measures of weighted k/n system with heterogeneous components and its application to solar power generating system. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, nolinkurl1748006X241289014.
Bisht, S., and Singh, S. B. (2021). Reliability Evaluation of Repairable Parallel-Series Multi-State System Implementing Interval Valued Universal Generating Function. Journal of Reliability and Statistical Studies, 14(1), 81–120.
Bo, Y., Bao, M., Ding, Y., and Hu, Y. (2024). A DNN-based reliability evaluation method for multi-state series-parallel systems considering semi-Markov process. Reliability Engineering & System Safety, 242, 109604.
Lisnianski, A., Frenkel, I., and Khvatskin, L. (2017). On sensitivity analysis of aging multi-state system by using Lz-transform. Reliability Engineering & System Safety, 166, 99–108.


