Research article Special Issues

Phased mission reliability analysis of unmanned ship systems

  • Received: 23 August 2023 Revised: 18 September 2023 Accepted: 20 September 2023 Published: 26 September 2023
  • With the development of unmanned ships, their use in production is becoming more and more common. However, the unmanned ship work cycle is long and the work environment is complex, and it is still very difficult to calculate the phased mission reliability without unmanned ship. We analyze the unmanned ship phased mission reliability based on the binary decision diagram. Moreover, redundancy is used as the unmanned ship reliability optimization scheme. Considering the resource limitation, and the capacity of unmanned ship, the redundancy allocation scheme of unmanned ship is established. The redundancy allocation scheme is solved by marginal optimization algorithm. Finally, a case study is established to analyze the effectiveness and practicality of the proposed method.

    Citation: Xu Zhan, Yang Yong, Wang Xiao. Phased mission reliability analysis of unmanned ship systems[J]. Electronic Research Archive, 2023, 31(10): 6425-6444. doi: 10.3934/era.2023325

    Related Papers:

  • With the development of unmanned ships, their use in production is becoming more and more common. However, the unmanned ship work cycle is long and the work environment is complex, and it is still very difficult to calculate the phased mission reliability without unmanned ship. We analyze the unmanned ship phased mission reliability based on the binary decision diagram. Moreover, redundancy is used as the unmanned ship reliability optimization scheme. Considering the resource limitation, and the capacity of unmanned ship, the redundancy allocation scheme of unmanned ship is established. The redundancy allocation scheme is solved by marginal optimization algorithm. Finally, a case study is established to analyze the effectiveness and practicality of the proposed method.



    加载中


    [1] F. Liu, H. Tang, Y. Qin, C. Duan, J. Luo, H. Pu, Review on fault diagnosis of unmanned underwater vehicles, Ocean Eng., 243 (2022), 110290. https://doi.org/10.1016/j.oceaneng.2021.110290 doi: 10.1016/j.oceaneng.2021.110290
    [2] C. Gao, Y. Guo, M. Zhong, X. Liang, H. Wang, H. Yi, Reliability analysis based on dynamic Bayesian networks: A case study of an unmanned surface vessel, Ocean Eng., 240 (2021), 109970. https://doi.org/10.1016/j.oceaneng.2021.109970 doi: 10.1016/j.oceaneng.2021.109970
    [3] X. Li, Y. Li, H. Huang, E. Zio, Reliability assessment of phased-mission systems under random shocks, Reliab. Eng. Syst. Saf., 180 (2018), 352–361. https://doi.org/10.1016/j.ress.2018.08.002 doi: 10.1016/j.ress.2018.08.002
    [4] L. Xing, M. Tannous, V. M. Vokkarane, H. Wang, J. Guo, Reliability modeling of mesh storage area networks for Internet of Things, Reliab. Eng. Syst. Saf., 4 (2017), 2047–2057. https://doi.org/10.1109/JIOT.2017.2749375 doi: 10.1109/JIOT.2017.2749375
    [5] L. Xing, G. Levitin, BDD-based reliability evaluation of phased-mission systems with internal/external common-cause failures, Reliab. Eng. Syst. Saf., 112 (2013), 145–153. https://doi.org/10.1016/j.ress.2012.12.003 doi: 10.1016/j.ress.2012.12.003
    [6] M. Tang, T. Xiahou, Y. Liu, Mission performance analysis of phased-mission systems with cross-phase competing failures, Reliab. Eng. Syst. Saf., 234 (2023), 109174. https://doi.org/10.1016/j.ress.2023.109174 doi: 10.1016/j.ress.2023.109174
    [7] Z. Wang, S. Zeng, J. Guo, H. Che, A Bayesian network for reliability assessment of man-machine phased-mission system considering the phase dependencies of human cognitive error, Reliab. Eng. Syst. Saf., 207 (2021), 107385. https://doi.org/10.1016/j.ress.2020.107385 doi: 10.1016/j.ress.2020.107385
    [8] X. Wu, H. Yu, N. Balakrishnan, Modular model and algebraic phase algorithm for reliability modelling and evaluation of phased-mission systems with conflicting phase redundancy, Reliab. Eng. Syst. Saf., 227 (2022), 108735. https://doi.org/10.1016/j.ress.2022.108735 doi: 10.1016/j.ress.2022.108735
    [9] J. Li, Y. Lu, X. Liu, X. Jiang, Reliability analysis of cold-standby phased-mission system based on GO-FLOW methodology and the universal generating function, Reliab. Eng. Syst. Saf., 233 (2023), 109125. https://doi.org/10.1016/j.ress.2023.109125 doi: 10.1016/j.ress.2023.109125
    [10] C. Cheng, J. Yang, L. Li, Reliability evaluation of a k-out-of-n (G)-subsystem based multi-state phased mission system with common bus performance sharing subjected to common cause failures, Reliab. Eng. Syst. Saf., 216 (2021), 108003. https://doi.org/10.1016/j.ress.2021.108003 doi: 10.1016/j.ress.2021.108003
    [11] X. Li, X. Xiong, J. Guo, H. Huang, X. Li, Reliability assessment of non-repairable multi-state phased mission systems with backup missions, Reliab. Eng. Syst. Saf., 233 (2022), 108462. https://doi.org/10.1016/j.ress.2022.108462 doi: 10.1016/j.ress.2022.108462
    [12] C. Wang, L. Xing, J. Yu, Q. Guan, C. Yang, M. Yu, Phase reduction for efficient reliability analysis of dynamic k-out-of-n phased mission systems, Reliab. Eng. Syst. Saf., 237 (2023) 109349. https://doi.org/10.1016/j.ress.2023.109349 doi: 10.1016/j.ress.2023.109349
    [13] X. Zhou, G. Bai, J. Tao, B. Xu, An improved method to search all minimal paths in networks, IEEE Trans. Reliab., 2023 (2023). https://doi.org/10.1109/TR.2023.3234055 doi: 10.1109/TR.2023.3234055
    [14] B. Xu, G. Bai, T. Liu, Y. Fang, Y. A. Zhang, J. Tao, An improved swarm model with informed agents to prevent swarm-splitting, Chaos Solitons Fractals, 169 (2023), 113296. https://doi.org/10.1016/j.chaos.2023.113296 doi: 10.1016/j.chaos.2023.113296
    [15] T. Liu, G. Bai, J. Tao, Y. A. Zhang, Y. Fang, B. Xu, Modeling and evaluation method for resilience analysis of multi-state networks, Reliab. Eng. Syst. Saf., 226 (2022), 108663. https://doi.org/10.1016/j.ress.2022.108663 doi: 10.1016/j.ress.2022.108663
    [16] S. Anwar, S. Lone, A. Khan, S. Almutlak, Stress-strength reliability estimation for the inverted exponentiated Rayleigh distribution under unified progressive hybrid censoring with application, Electron. Res. Arch., 31 (2023), 4011–4033. https://doi.org/10.3934/era.2023204 doi: 10.3934/era.2023204
    [17] M. Liu, D. Wang, S. Si, Mixed reliability importance-based solving algorithm design for the cost-constrained reliability optimization model, Reliab. Eng. Syst. Saf., 237 (2023), 109363. https://doi.org/10.1016/j.ress.2023.109363 doi: 10.1016/j.ress.2023.109363
    [18] Z. Zhang, L. Yang, Y. Xu, R. Zhu, Y. Cao, A novel reliability redundancy allocation problem eqtion for complex systems, Reliab. Eng. Syst. Saf., 239 (2023), 109471. https://doi.org/10.1016/j.ress.2023.109471 doi: 10.1016/j.ress.2023.109471
    [19] S. Li, X. Chi, B. Yu, An improved particle swarm optimization algorithm for the reliability-redundancy allocation problem with global reliability, Reliab. Eng. Syst. Saf., 225 (2022), 108604. https://doi.org/10.1016/j.ress.2022.108604 doi: 10.1016/j.ress.2022.108604
    [20] D. Xu, Y. Tian, J. Shi, D. Wang, M. Zhang, H. Li, Reliability analysis and optimal redundancy for a satellite power supply system based on a new dynamic k-out-of-n: G model, Reliab. Eng. Syst. Saf., 236 (2023), 109317. https://doi.org/10.1016/j.ress.2023.109317 doi: 10.1016/j.ress.2023.109317
    [21] X. Y. Li, X. Li, C. Li, X. Xiong, H. Huang, Reliability analysis and optimization of multi-phased spaceflight with backup missions and mixed redundancy strategy, Reliab. Eng. Syst. Saf., 237 (2023), 109373. https://doi.org/10.1016/j.ress.2023.109373 doi: 10.1016/j.ress.2023.109373
    [22] C. W. Yeh, W. Zhu, S. Y. Tan, G. Wang, Y. Yeh, Novel general active reliability redundancy allocation problems and algorithm, Reliab. Eng. Syst. Saf., 218 (2022), 108167. https://doi.org/10.1016/j.ress.2022.108843 doi: 10.1016/j.ress.2022.108843
    [23] M. Nourelfath, E. Châtelet, N. Nahas, Joint redundancy and imperfect preventive maintenance optimization for series-parallel multi-state degraded systems, Reliab. Eng. Syst. Saf., 103 (2012), 51–60. https://doi.org/10.1016/j.ress.2012.03.004 doi: 10.1016/j.ress.2012.03.004
    [24] J. Zhang, D. Du, X. Si, C. Hu, H. Zhang, Joint optimization of preventive maintenance and inventory management for standby systems with hybrid-deteriorating spare parts, Reliab. Eng. Syst. Saf., 214 (2021), 107686. https://doi.org/10.1016/j.ress.2021.107686 doi: 10.1016/j.ress.2021.107686
    [25] W. Wang, Z. Wu, J. Xiong, Y. Xu, Redundancy optimization of cold-standby systems under periodic inspection and maintenance, Reliab. Eng. Syst. Saf., 180 (2018), 394–402. https://doi.org/10.1016/j.ress.2018.08.004 doi: 10.1016/j.ress.2018.08.004
    [26] K. Atashgar, H. Abdollahzadeh, Reliability optimization of wind farms considering redundancy and opportunistic maintenance strategy, 112 (2016), 445–458. https://doi.org/10.1016/j.enconman.2016.01.027
    [27] E. Golmohammadi, M. A. Ardakan, Reliability optimization problem with the mixed strategy, degrading components, and a periodic inspection and maintenance policy, Reliab. Eng. Syst. Saf., 223 (2022), 108500. https://doi.org/10.1016/j.ress.2022.108500 doi: 10.1016/j.ress.2022.108500
    [28] Q. Feng, M. Liu, H. Dui, Y. Ren, B. Sun, D. Yang, et al., Importance measure-based phased mission reliability and UAV number optimization for swarm, Reliab. Eng. Syst. Saf., 223 (2022), 108478. https://doi.org/10.1016/j.ress.2022.108478 doi: 10.1016/j.ress.2022.108478
    [29] H. Dui, X. Yang, M. Liu, Importance measure-based maintenance analysis and spare parts storage configuration in two-echelon maintenance and supply support system, Int. J. Prod. Res., 2022 (2022). https://doi.org/10.1080/00207543.2022.2142312 doi: 10.1080/00207543.2022.2142312
    [30] R. Yan, Y. Yang, Y. Du, Stochastic optimization model for ship inspection planning under uncertainty in maritime transportation. Electron. Res. Arch., 31 (2023), 103–122. https://doi.org/10.3934/era.2023006 doi: 10.3934/era.2023006
    [31] J. Chang, X. Yin, C. Ma, D. Zhao, Y. Sun, Estimation of the time cost with pinning control for stochastic complex networks, Electron. Res. Arch., 30 (2022), 3509–3526. https://doi.org/10.3934/era.2022179 doi: 10.3934/era.2022179
    [32] J. Ren, S. Qu, L. Wang, L. Ma, T. Lu, Aircraft scheduling optimization model for on-ramp of corridors-in-the-sky, Electron. Res. Arch., 31 (2023), 3625–3648. https://doi.org/10.3934/era.2023184 doi: 10.3934/era.2023184
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(890) PDF downloads(73) Cited by(0)

Article outline

Figures and Tables

Figures(11)  /  Tables(4)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog