考虑关键性的多约束下辐射干扰对消装备随舰备件配置优化方法

doi:10.3969/j.issn.1001-506X.2020.02.15

Abstract

Abstract:

Availability is an important indicator of the impact of spare parts on the integrity of the equipment. It is difficult to establish the availability model with regard to the impact with criticality key availability on equipment availability. In this paper, we take the radio interference cancellation equipment of shipboard communication station as the object, and adopt the expert scoring method for the key parts of the spare parts. This paper takes the key of spare parts as one of the constraints of spare parts configuration optimization, and establishes spare parts allocation optimization model constrained by spare parts cost, spare parts volume and spare parts key. Based on the normalization of spare parts cost, volume and key, the weight factor method is used to transform multiple constraints into a single constraint, and the updating method of weight factors is also presented. Examples are given to compare the cost constraints, volume constraints and multiple constraints. What is more, the spare parts allocation scheme before and after improvement is compared, and spare parts support in the use of equipment is extended to the equipment reliability design stage. The results show that the spare parts allocation method not only takes into account the constraints of volume and cost, but also considers the influence of the key of spare parts on the availability of equipment, which makes the decision making department more reasonable; in the design of equipment reliability, it is possible to effectively reduce equipment maintenance support resources by improving weaknesses such as LRU (line replaceable unit) with a low reliability.

Key words: key, spare part, multiple constraint, weight factor, radiation interference cancellation equipment

CLC Number:

TG142.71

Liang ZHOU, Jin MENG, Yi LI, Wei LIU. Optimization method for radiation interference cancellation equipment ofship spare parts configuration with criticality under multiple constraints[J]. Systems Engineering and Electronics, 2020, 42(2): 365-373.

Figures/Tables 13

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References 25

1	LI W , ZHAO Z , TANG J , et al. Performance analysis and optimal design of the adaptive interference cancellation system[J]. IEEE Trans.on Electromagnetic Compatibility, 2013, 55 (6): 1068- 1075. doi: 10.1109/TEMC.2013.2265803
2	李文禄, 赵治华, 李毅, 等. 含有用信号的自适应干扰对消系统时域分析[J]. 通信学报, 2012, 33 (10): 183- 190.
	LI W L , ZHAO Z H , LI Y , et al. Time-domain analysis of adaptive interference cancellation system with the desired signal[J]. Journal on Communications, 2012, 33 (10): 183- 190.
3	WANG Q, HE F M, LIU H B, et al. Adaptive spatial filtering for interference cancellation between co-site phased arrays[C]//Proc.of the IEEE Asia-Pacific Symposium on Electromagnetic Compatibility, 2018: 451-455.
4	MENG J , ZHANG X M , ZHANG L . A time-domain low-frequency nonperiodic transient EMI measurement system[J]. IET Science, Measurement & Technology, 2019.
5	SONG Z J , FU Z , WANG H , et al. Demand forecasting model of port critical spare parts based on PSO-LSSVM[J]. Applied Mechanics and Materials, 2013, 433
6	HAN Y, WANG L, GAO J, et al. Combination forecasting based on SVM and neural network for urban rail vehicle spare parts demand[C]//Proc.of the Control & Decision Conference, 2016: 6409-6414.
7	NI J J , ZHANG C B , YANG S X . An adaptive approach based on KPCA and SVM for real-time fault diagnosis of HVCBs[J]. IEEE Trans.on Power Delivery, 2011, 26 (3): 1960- 1971. doi: 10.1109/TPWRD.2011.2136441
8	HU Y G , SUN S , WEN J Q . Agricultural machinery spare parts demand forecast based on bp neural network[J]. Applied Mechanics & Materials, 2014, 635-637, 1822- 1825.
9	王鑫, 吴际, 刘超, 等. 基于LSTM循环神经网络的故障时间序列预测[J]. 北京航空航天大学学报, 2018, 44 (4): 772- 784.
	WANG X , WU J , LIU C , et al. Exploring LSTM based recurrent neural network for failure time series prediction[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44 (4): 772- 784.
10	赵建忠, 徐廷学, 李海军, 等. 基于小波分析的导弹装备备件需求组合预测[J]. 电子学报, 2014, 42 (3): 417- 423. doi: 10.3969/j.issn.0372-2112.2014.03.001
	ZHAO J Z , XU T X , LI H J , et al. Combination forecasting of missile equipment spare parts demand based on wavelet analysis[J]. Acta Electronica Sinica, 2014, 42 (3): 417- 423. doi: 10.3969/j.issn.0372-2112.2014.03.001
11	SHERBROOKE C C . Optimal inventory modeling of systems: multi-echelon techniques[M].2nd ed
12	RUAN M , LI H , FU J . System optimization-oriented spare parts dynamic configuration model for multi-echelon multi-indenture system[J]. Journal of Systems Engineering and Electronics, 2017, 28 (5): 923- 933. doi: 10.21629/JSEE.2017.05.10
13	张晋豫, 杨维, 张顶立. 基于效用的备品备件优化库存控制法[J]. 电子学报, 2010, 38 (11): 2708- 2712.
	ZHANG J Y , YANG W , ZHANG D L . Optimal inventory control method for spare part based on utility[J]. Acta Electronica Sinica, 2010, 38 (11): 2708- 2712.
14	KILPI J , TOYLI J , VEPSALAINEN A . Cooperative strategies for the availability service of repairable aircraft components[J]. International Journal of Production Economics, 2009, 117 (2): 360- 370. doi: 10.1016/j.ijpe.2008.12.001
15	LAU H C , SONG H , SEE T C , et al. Evaluation of time-varying availability in multi echelon spare parts systems with passivation[J]. European Journal of Operational Research, 2006, 170 (1): 91- 105.
16	周亮, 李庆民, 王睿, 等. K/N(G)冗余结构下随舰备件配置方案[J]. 系统工程与电子技术, 2015, 12 (37): 2785- 2790.
	ZHOU L , LI Q M , WANG R , et al. Spare parts allocation scheme with ship for K/N(G redundant structure[J]. Systems Engineering and Electronics, 2015, 12 (37): 2785- 2790.
17	周亮, 李庆民, 彭英武, 等. 动态保障结构下多级多层备件配置优化建模[J]. 航空学报, 2017, 38 (11): 150- 162.
	ZHOU L , LI Q M , PENG Y W , et al. Optimization model for multi-echelon spare part alloction in dynamic support structure[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38 (11): 150- 162.
18	LOO H L , EK P C , SUYAN T , et al. Multi-objective simulation -based evolutionary algorithm for an aircraft spare parts allocation problem[J]. European Journal of Operational Research, 2008, 189 (2): 325- 341.
19	RUAN M Z , LI H , WANG J L . Mission-oriented dynamic optimization model of carrying spares for warship redundant system[J]. Journal of Systems Engineering and Electronics, 2018, 29 (3): 539- 548. doi: 10.21629/JSEE.2018.03.11
20	蔡芝明, 金家善, 陈砚桥, 等. 多约束下编队随船备件配置优化方法[J]. 系统工程与电子技术, 2015, 37 (4): 838- 844.
	CAI Z M , JIN J S , CHEN Y Q , et al. Warship formation spare parts allotment optimization method[J]. Systems Engineering and Electronics, 2015, 37 (4): 838- 844.
21	蔡芝明, 金家善, 陈砚桥. 基于关键性的备件库存配置优化模型[J]. 系统工程与电子技术, 2017, 39 (8): 1765- 1773.
	CAI Z M , JIN J S , CHEN Y Q . Optimal inventory modeling of spare parts under with criticality[J]. Systems Engineering and Electronics, 2017, 39 (8): 1765- 1773.
22	荣翰君.基于设备关键性的备件库存优化研究[D].西安:西安电子科技大学, 2012.
	RONG H J. Research on inventory management of spare parts based on device criticality[D]. Xi'an: Xidian University, 2012.
23	周亮, 李庆民, 彭英武, 等. 串件拼修对策下K/N(G结构系统可用度评估建模[J]. 航空学报, 2017, 38 (4): 118- 127.
	ZHOU L , LI Q M , PENG Y W , et al. Evaluation of system availability for K/N(G structural with cannibalization[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38 (4): 118- 127.
24	ZHOU L, LI Q M, LIU R Y. Optimal inventory control of spare parts based on storage availability[C]//Proc.of the Chinese Control & Decision Conference, 2016: 6409-6414.
25	GJB 1909A-2009.装备可靠性维修性保障性要求论证[S].北京:中国人民解放军总装备部, 2009.
	GJB 1909A-2009. Demonstration of reliability, maintainability and supportability requirements for materiel[S]. Beijing: General Equipment Department of PLA, 2009.

等级	分数	说明
1	1~2	该分系统或设备是影响装备成功的关键(最重要)
3	3~4	该分系统或设备在装备过程中重要
4	5~6	该分系统或设备在装备过程中较重要
5	7~8	该分系统或设备在装备中重要程度一般

序号	名称	类型	装机数	MTBF/h	体积/m³	单价/万元
1	8通道对消装置	设备	1	-
1.1	取样单元1	LRU₁	4	3 000	0.7	1
1.2	合成模块1	LRU₂	1	2 000	0.3	2
1.3	权值模块1	LRU₃	4	800	0.2	10
1.4	电源模块1	LRU₄	3	6 000	0.5	1
1.5	监控模块1	LRU₅	3	1 800	0.4	4
2	2通道对消装置	设备	1	-
2.1	取样单元2	LRU₆	3	3 300	0.7	1
2.2	合成模块2	LRU₇	1	2 100	0.3	2
2.3	权值模块2	LRU₈	2	850	0.2	10
2.4	电源模块2	LRU₉	1	1 780	0.5	1
2.5	监控模块2	LRU₁₀	1	1 850	0.4	4
3	4通道对消装置	设备	1	-
3.1	取样单元3	LRU₁₁	4	2 995	0.7	1
3.2	合成模块3	LRU₁₂	1	1 995	0.3	2
3.3	权值模块3	LRU₁₃	3	780	0.2	10
3.4	电源模块3	LRU₁₄	1	1 780	0.5	1
3.5	监控模块3	LRU₁₅	1	1 760	0.4	4

名称	分值	名称	分值	名称	分值
8通道对消设备		2通道对消设备		4通道对消设备
取样单元1	1	取样单元2	1	取样单元3	1
合成模块1	1	合成模块2	1	合成模块3	1
权值模块1	1	权值模块2	1	权值模块3	1
电源模块1	3	电源模块2	3	电源模块3	3
监控模块1	5	监控模块2	5	监控模块3	5

约束/类别	总费用/万元	总体积/m³	关键度
费用	453	30.2	143
体积	518	28.1	145
关键度	515	30.8	140
综合约束	470	28.5	142

约束/类别	总费用/万元	总体积/m³	关键度
费用	297	28.1	124
体积	329	26.2	123
关键性	373	29.4	121
综合约束	329	26.2	123

Optimization method for radiation interference cancellation equipment ofship spare parts configuration with criticality under multiple constraints

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备件编号	费用/万元	体积/m³	关键性	综合约束
1	7	4	7	6
2	3	3	3	3
3	15	18	18	16
4	3	3	3	3
5	7	7	6	7
6	5	4	5	5
7	3	3	3	3
8	8	10	10	9
9	1	1	1	1
10	3	3	2	3
11	6	5	6	6
12	3	3	3	3
13	13	15	15	14
14	1	1	1	1
15	3	3	3	3

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