| Citation: | LIU Zhaoxia, SUN Yufeng, XUAN Jie, et al. Mission reliability allocation method considering multiple factors for repairable systems[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(4): 834-840. doi: 10.13700/j.bh.1001-5965.2018.0472(in Chinese)
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In practical engineering, a system is usually complex and repairable. Its reliability model is not a series model but a mixed model of series, parallel, bypass and voting. The equal-distribution method is used mostly to allocate mission reliability for complex system at present. The allocation result using this method is always not accurate. Therefore, a mission reliability allocation method for repairable system considering the effects of maintenance, fault logic and other factors was proposed in this paper. First, the failure rate was calculated to remove the effect of maintenance. Then the scoring allocation method considering failure logic was adopted to allocate mission reliability. After that, the spare part coefficient was used to correct the allocation result. Finally, a case was analyzed to validate the method, which could provide an easy and effective way to allocate mission reliability for repairable systems in practical engineering.
| [1] |
KAPUR K C, LAMBERSON L R.Reliability in engineering design[M].Washington, D.C.:John Wiley & Sons, 1977:405-414.
|
| [2] |
KECECIOGLU D.Reliability engineering handbook[M].2nd ed.Englewood:PTR Prentice Hall, 1991:363-399.
|
| [3] |
CLEMENT L M.Reliability of military electronic equipment[J].Journal of the British Institution of Radio Engineers 1956, 16(9):488-495. doi: 10.1049/jbire.1956.0050
|
| [4] |
FALCONE D, SILVESTRI A, BONA D.Integrated factor method (IFM): A new reliability allocation technique[C]//Proceedings of the IASTED International Conference on Software Engineering and Applications, 2002: 166.
|
| [5] |
SILVESTRI A, FALCONE D, BONA G D, et al.A new method for reliability allocation:Critical flow method[J].Lecture Notes in Control & Information Sciences, 2015, 20:249-261. http://d.old.wanfangdata.com.cn/OAPaper/oai_arXiv.org_gr-qc%2f9908059
|
| [6] |
CHANG Y C, CHANG K H, LIAW C S.Innovative reliability allocation using the maximal entropy ordered weighted averaging method[J].Computers & Industrial Engineering, 2009, 57(4):1274-1281. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=fe243bf696e61aee51600cca7ae67608
|
| [7] |
AMARI S V, HEGDE V.New allocation methods for repairable systems[C]//Reliability & Maintainability Symposium.Piscataway: IEEE Press, 2006: 290-295
|
| [8] |
冯川, 汪文峰, 杨建军.使用可用度分配模型研究[J].电子产品可靠性与环境试验, 2009, 27(6):49-53. doi: 10.3969/j.issn.1672-5468.2009.06.012
FENG C, WANG W F, YANG J J.Research on the use of availability allocation model[J].Electronic Product Reliability and Environmental Testing, 2009, 27(6):49-53(in Chinese). doi: 10.3969/j.issn.1672-5468.2009.06.012
|
| [9] |
ELEGBEDE C, ADJALLAH K.Availability allocation to repairable systems with genetic algorithms:A multi-objective formulation[J].Reliability Engineering & System Safety, 2003, 82(3):319-330. http://www.sciencedirect.com/science/article/pii/S0951832003001790
|
| [10] |
DUGAN J B.Automated analysis of phased-mission reliability[J].IEEE Transactions on Reliability, 1991, 40(1):45-52. doi: 10.1109/24.75332
|
| [11] |
TESSERON J M.Mission:Reliability[J].Power & Energy Magazine IEEE, 2008, 6(1):42-48. http://d.old.wanfangdata.com.cn/Periodical/bgxb201705021
|
| [12] |
GHODRATI B, KUMAR U.Reliability and operating environment-based spare parts estimation approach[J].Journal of Quality in Maintenance Engineering, 2005, 11(2):169-184. doi: 10.1108/13552510510601366
|
| [13] |
张志华, 应新雅, 费广玉.串联系统备件满足率分配及配置优化[J].系统工程理论与实践, 2015, 35(11):2987-2992. doi: 10.12011/1000-6788(2015)11-2987
ZHANG Z H, YING X Y, FEI G Y.Spare part rate allocation and configuration optimization of series system[J].Systems Engineering-Theory & Practice, 2015, 35(11):2987-2992(in Chinese). doi: 10.12011/1000-6788(2015)11-2987
|
| [14] |
CHEN C H, YANG Z J, CHEN F, et al.The study of reliability modeling of machining center based on Blocksim and Weibull++[J].Applied Mechanics & Materials, 2013, 274:49-52.
|
| [15] |
CARLUCCI E, TOGNARELLI L.Mixed Weibull distribution as best representative of forced outage distribution to be implemented in BlockSim[C]//ASME 2014 Power Conference.New York: ASME, 2014: V001T06A009.
|
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