Mission-oriented calculation model of warship equipment spare parts utilization rate

被引:0
作者
Wang J. [1 ]
Lou J. [1 ]
Ruan M. [1 ]
Li H. [2 ]
机构
[1] College of Naval Architecture & Ocean Engineering, Naval University of Engineering, Wuhan
[2] College of Weaponry Engineering, Naval University of Engineering, Wuhan
来源
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 05期
关键词
mission; spare part; success rate of mission; utilization rate of spare parts;
D O I
10.12305/j.issn.1001-506X.2023.05.18
中图分类号
U66 [船舶工程];
学科分类号
082401 ;
摘要
In view of the reality that the ship equipment has a long sea voyage time and is far away from the shore base, and the spare parts are difficult to be supplied in time, this paper systematically studies the mission-oriented calculation of the utilization rate of the ship equipment spare parts. Firstly, the calculation method of the utilization rate of the unit-level spare parts is analyzed, and the utilization rate model of the unit-level spare parts is established. Secondly, based on the above analysis, according to whether the shortage of the spare parts will cause the system shutdown, the spare parts are divided into key units which can cause the system shutdown and non-key units which cannot cause the system shutdown, and the equipment system with complex structure is approximated as a series system. According to the two cases of task success and task failure, the calculation model of the utilization rate of the system-level spare parts during the mission is studied. And the calculation model of the utilization rate of the system-level equipment spare parts during the long sea voyage task is established with the success rate of mission as the restrictive constraint. Case calculation and simulation analysis prove that the proposed model can meet the requirements of engineering application, and can provide theoretical support for the equipment support department to formulate the spare parts allocation scheme of the long sea voyage mission. © 2023 Chinese Institute of Electronics. All rights reserved.
引用
收藏
页码:1420 / 1428
页数:8
相关论文
共 33 条
[1]  
SONG J M, SONG J S, HE Z D, Et al., Research on support-ability evaluation model of spare parts, Fire Control & Command Control, 34, 2, pp. 17-23, (2009)
[2]  
LU B, ZHOU X J., Quality and reliability oriented maintenance for multistage manufacturing systems subject to condition monitoring, Journal of Manufacturing Systems, 52, pp. 76-85, (2019)
[3]  
LOUTAS T H, ROULIAS D, GEORGOULAS G., Remaining useful life estimation in rolling bearings utilizing data-driven probabilistic e-support vectors regression, IEEE Trans, on Reliability, 62, 4, pp. 821-832, (2013)
[4]  
SARAYGORD A S, ENAYATOLLAH1 F, XU X Y, Et al., Machine learning-based methods in structural reliability analysis: a review, Reliability Engineering and System Safety, 219, (2022)
[5]  
ZHANG H W, ZHOU D H, CHEN M Y, Et al., FBM-based remaining useful life prediction for degradation processes with long-range dependence and multiple modes, IEEE Trans, on Reliability, 68, 3, pp. 1021-1033, (2019)
[6]  
LIU K L, SHANG Y L, OU Y Q, Et al., A data-driven approach with uncertainty quantification for predicting future capacities and remaining useful life of lithium-ion battery, IEEE Trans, on Industrial Electronics, 68, 4, pp. 3170-3180, (2020)
[7]  
SUN C, MA M, ZHAO Z B, Et al., Deep transfer learning based on sparse auto-encoder for remaining useful life prediction of tool in manufacturing, IEEE Trans, on Industrial Informatics, 15, 4, pp. 2416-2425, (2018)
[8]  
ZHANG Z Y, KANG R, WANG N C., Utilization estimating method of repairable spare parts in support equipment developing phase, Aviation Maintenance C- Engineering, 1, pp. 61-64, (2011)
[9]  
LI H, LI Q M, LUO Y., Research on relationship between probability of spare sufficiency and utilization ratio of spare parts[J], Mine Warfare & Ship Self-Defence, 24, 2, pp. 9-12, (2016)
[10]  
WEI S H, CHEN Y Q, JIN J S., Analysis and comparison for influencing factors of spare utilization between single item method and system method, Fire Control 2>. Command Control, 42, 10, pp. 49-52, (2017)