基于组合赋权和正态云模型的电子对抗系统健康状态评估

doi:10.12305/j.issn.1001-506X.2024.12.22

摘要/Abstract

摘要：

针对当前机载电子对抗系统健康状态不掌握、作战使用和保障决策缺乏可靠支撑的问题, 综合运用组合赋权法和正态云模型, 提出一种机载电子对抗系统健康状态量化评估方法。首先, 根据机载电子对抗系统主要能力及其表征性能指标, 建立其健康状态评估指标体系; 然后, 利用组合赋权法综合各指标的主客观权重; 再将规范化的数据输入相应的正态云模型, 映射出各指标对各健康状态等级的隶属度, 进而逐级开展电子对抗系统健康状态评估。最后, 通过实例验证了所提方法的正确性和优势, 且评估结果兼顾随机性和模糊性。

关键词: 电子对抗系统, 健康状态评估, 正态云模型, 组合赋权

Abstract:

At present, the health state of airborne electronic countermeasure system is unknown, and its operational use and support decision lack reliable support. Therefore, a quantitative evaluation method for airborne electronic countermeasure system health state is proposed using combination weighting method and normal cloud model. Firstly, according to the main capabilities and its performance indicators of airborne electronic countermeasure system, the health state evaluation index system is established. Then, the subjective and objective weights of each index are synthesized by the combination weighting method. Next, the normalized data is input into the corresponding normal cloud model to map the membership degree of each index to each health status level, and the health state assessment of the system is carried out level by level. Finally, the correctness and advantages of the proposed method are verified by an example, and both randomness and fuzziness are reflected in the evaluation results.

Key words: electronic countermeasure system, health state assessment, normal cloud model, combination weighting

中图分类号:

TJ07

金建刚, 蔡忠义, 黄泽贵, 邓灏, 游亮. 基于组合赋权和正态云模型的电子对抗系统健康状态评估[J]. 系统工程与电子技术, 2024, 46(12): 4140-4148.

Jian'gang JIN, Zhongyi CAI, Zegui HUANG, Hao DENG, Liang YOU. Health state assessment of electronic countermeasure system based on combination weighting and normal cloud model[J]. Systems Engineering and Electronics, 2024, 46(12): 4140-4148.

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参考文献 25

1	贾朝文, 冯兵, 鄢勃, 等. 战斗机电子战系统架构总体设计[J]. 航空学报, 2021, 42 (2): 335- 347.
	JIA C W , FENG B , YAN B , et al. Overall design of fighter electronic warfare system architecture[J]. Acta Aeronautica et Astronautica Sinica, 2021, 42 (2): 335- 347.
2	李国发, 王彦博, 何佳龙, 等. 机电装备健康状态评估研究进展及发展趋势[J]. 吉林大学学报(工学版), 2022, 52 (2): 267- 279.
	LI G F , WANG Y B , HE J L , et al. Research progress and development trend of health assessment of electromechanical equipment[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52 (2): 267- 279.
3	RABIEI M , MODARRES M . A recursive Bayesian framework for structural health management using online monitoring and periodic inspections[J]. Reliability Engineering & System Safety, 2013, 112, 154- 164.
4	ZHANG Z Q , FU G C , WAN B , et al. A high-efficiency IGBT health status assessment method based on data driven[J]. IEEE Trans.on Electron Devices, 2021, 68 (1): 168- 174. doi: 10.1109/TED.2020.3037266
5	高殿柱, 彭军, 王胜男, 等. 结合长短期混合特征的均衡风缸控制系统健康状态评估方法[J]. 铁道学报, 2023, 45 (8): 57- 67.
	GAO D Z , PENG J , WANG S N , et al. Health status assessment method combining shorting and long term hybrid features for equalizing reservoir control system[J]. Journal of the China Railway Society, 2023, 45 (8): 57- 67.
6	廉正, 胡来红, 周志杰, 等. 基于置信规则库和弹道仿真的加速度计健康状态评估[EB/OL]. [2024-04-01]. 10.13195/j.kzyjc.2023.0331.
	LIAN Z, HU L H, ZHOU Z J, et al. Accelerometer health state assessment based on belief rule base and ballistic simulation[EB/OL]. [2024-04-01]. 10.13195/j.kzyjc.2023.0331.
7	李鑫, 刘莹莹, 李赣华, 等. 基于模糊变权原理的卫星健康评估方法[J]. 系统工程与电子技术, 2017, 36 (3): 476- 480.
	LI X , LIU Y Y , LI G H , et al. Satellite health assessment method based on fuzzy variable weight principle[J]. Systems Engineering and Electronics, 2017, 36 (3): 476- 480.
8	LIN R L , HUANG L J , LIU Z W , et al. A multilayered and multifactorial health assessment method for launch vehicle engine under vibration conditions[J]. Aerospace, 2023, 10 (6): 505.
9	王敏, 邹婕, 王惠琳, 等. 基于改进的AHP-CRITIC-MARCOS配电网设备风险评估方法[J]. 电力系统保护与控制, 2023, 51 (3): 164- 172.
	WANG M , ZOU J , WANG H L , et al. Improved AHP-CRITIC-MARCOS-based risk assessment method for distribution network equipment[J]. Power System Protection and Control, 2023, 51 (3): 164- 172.
10	LIU Y Y , XU J H , YUAN H W , et al. Health assessment and prediction of overhead line based on health index[J]. IEEE Trans. on Industrial Electronics, 2019, 66 (7): 5546- 5557.
11	LI H , HU Y G , YANG C , et al. An improved fuzzy synthetic condition assessment of a wind turbine generator system[J]. International Journal of Electrical Power & Energy Systems, 2016, 45 (1): 468- 476.
12	曾盛富, 梁浩全, 王岩, 等. 基于改进的组合赋权和云模型的平流层飞艇健康状态评估[EB/OL]. [2024-04-01]. 10.13700/j.bh.1001-5965.2023.0713.
	ZENG S F, LIANG H Q, WANG Y, et al. Health status assessment of stratospheric airship based on improved combination weighting and cloud model[EB/OL]. [2024-04-01]. 10.13700/j.bh.1001-5965.2023.0713.
13	李俨, 陈海, 张清江, 等. 无人机系统健康状态评估方法研究[J]. 系统工程与电子技术, 2011, 33 (3): 562- 567. doi: 10.3969/j.issn.1001-506X.2011.03.19
	LI Y , CHEN H , ZHANG Q J , et al. Assessment method of health condition for UAV systems[J]. Systems Engineering and Electronics, 2011, 33 (3): 562- 567. doi: 10.3969/j.issn.1001-506X.2011.03.19
14	程宏波, 何正友, 胡海涛, 等. 高铁接触网健康状态的熵权多信息综合评估[J]. 铁道学报, 2014, 36 (3): 19- 24.
	CHENG H B , HE Z Y , HU H T , et al. Comprehensive evalua- tion of health status of high-speed railway catenaries based on entropy weight[J]. Journal of the China Railway Society, 2014, 36 (3): 19- 24.
15	赵书强, 汤善发. 基于改进层次分析法、CRITIC法与逼近理想解排序法的输电网规划方案综合评价[J]. 电力自动化设备, 2019, 39 (3): 143-148, 162.
	ZHAO S Q , TANG S F . Comprehensive evaluation of transmission network planning scheme based on improved analytic hierarchy process, CRITIC method and TOPSIS[J]. Electric Power Automation Equipment, 2019, 39 (3): 143-148, 162.
16	李进友, 李媛, 冯冰, 等. 基于随机组合赋权模糊评价的风电机组健康状态评估[J]. 太阳能学报, 2022, 43 (8): 340- 351.
	LI J Y , LI Y , FENG B , et al. Wind turbine health state assessment based on stochastic combination weighting fuzzy evaluation[J]. Acta Energiae Solaris Sinica,, 2022, 43 (8): 340- 351.
17	HU Y J , WU L Z , PAN X Q , et al. Comprehensive evaluation of cloud manufacturing service based on fuzzy theory[J]. International Journal of Fuzzy Systems, 2021, 23 (6): 1755- 1764.
18	崔建国, 林泽力, 吕瑞, 等. 基于模糊灰色聚类和组合赋权法的飞机健康状态综合评估方法[J]. 航空学报, 2014, 35 (3): 764- 772.
	CUI J G , LIN Z L , LV R , et al. Comprehensive assessment method of aircraft health status based on fuzzy gray clustering and combination weighting[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35 (3): 764- 772.
19	蔡忠义, 金建刚, 周彦卿, 等. 基于统计数据和专家判断的新机作战适用性评估[J]. 火力与指挥控制, 2024, 49 (1): 56- 62.
	CAI Z Y , JIN J G , ZHOU Y Q , et al. Operational suitability evaluation of new aircraft based on statistical data and expert judgment[J]. Fire Control & Command Control, 2024, 49 (1): 56- 62.
20	崔建国, 林泽力, 陈希成, 等. 飞机液压系统健康状态综合评估技术研究[J]. 控制工程, 2014, 21 (3): 446-449, 454.
	CUI J G , LIN Z L , CHEN X C , et al. Research on health assessment of the aircraft hydraulic system[J]. Control Engineering of China, 2014, 21 (3): 446-449, 454.
21	鲍学英, 柴乃杰, 王起才. 基于G1法和改进DEA的铁路绿色施工节能措施综合效果研究[J]. 铁道学报, 2018, 40 (10): 15- 22.
	BAO X Y , CHAI N J , WANG Q C . Comprehensive effect of energy-saving measures on railway green construction based on G1 method and improved DEA models[J]. Journal of the China Railway Society, 2018, 40 (10): 15- 22.
22	付钰, 吴晓平, 叶清, 等. 基于模糊集与熵权理论的信息系统安全风险评估研究[J]. 电子学报, 2010, 38 (7): 1489- 1494.
	FU Y , WU X P , YE Q , et al. An approach for information systems security risk assessment on fuzzy set and entropy-weight[J]. Acta Electronica Sinica, 2010, 38 (7): 1489- 1494.
23	李德毅, 孟海军, 史雪梅. 隶属云和隶属云发生器[J]. 计算机研究与发展, 1995, 32 (6): 15- 20.
	LI D Y , MENG H J , SHI X M . Membership clouds and membership cloud generators[J]. Journal of Computer Research and Development, 1995, 32 (6): 15- 20.
24	LI D Y, SHI X M, WARD P, et al. Soft inference mechanism based on cloud models[C]//Proc. of the 1st International Workshop on Logic Programming and Soft Computing, 1996: 38-63.
25	李德毅, 刘常昱. 论正态云模型的普适性[J]. 中国工程科学, 2004, 6 (8): 28- 34.
	LI D Y , LIU C Y . Study on the universality of the normal cloud model[J]. Engineering Science, 2004, 6 (8): 28- 34.

特征量	L₁	L₂	L₃	L₄
Ex	0	(a+b)/2	(b+c)/2	min{7c/6, 1}
En	(a+b)/6	(a+b)/6	(c-a)/6	(4c-3b)/18
He	0.01	0.01	0.01	0.01

指标名称	指标值	劣化度
灵敏度/dBmW	-76.5	0.571
感知范围/(°)	-173.669~174.792	0.385
感知精度	3.2	0.600
识别准确率	0.767 2	0.552
告警反应时间/s	22.4	0.569
干扰功率/kW	17.435	0.283
干扰范围(俯仰)/(°)	-20.752~17.87	0.053
干扰范围(水平)/(°)	-175.382~174.494	0.338
干扰启动时间/s	65.94	0.396
平均故障间隔时间/h	2.43	0.233
平均严重故障间隔时间/h	4.21	0.290
历史任务可靠度	0.860 7	0.241
检测时间/s	318.3	0.305
准备时间/s	14.6	0.325

一级序号	指标权重	二级序号	指标权重
w₁	0.354	w₁₁	0.154
		w₁₂	0.267
		w₁₃	0.088
		w₁₄	0.237
		w₁₅	0.255
w₂	0.330	w₂₁	0.232
		w₂₂	0.178
		w₂₃	0.343
		w₂₄	0.247
w₃	0.193	w₃₁	0.198
		w₃₂	0.430
		w₃₃	0.372
w₄	0.123	w₄₁	0.432
w₄	0.123	w₄₂	0.568

健康状态向量	健康状态等级	本文方法	文献[9]	文献[14]	文献[18]
H₁	健康	0	0	0	0
	退化	0.008	0.004	0.034	0.027
	降级	0.337	0.218	0.595	0.547
	失效	0.655	0.779	0.371	0.426
H₂	健康	0.158	0.131	0.095	0.089
	退化	0.240	0.368	0.299	0.281
	降级	0.603	0.501	0.606	0.629
	失效	0	0	0	0
H₃	健康	0.003	0.003	0	0
	退化	0.791	0.774	0.705	0.686
	降级	0.207	0.224	0.295	0.314
	失效	0	0	0	0
H₄	健康	0	0	0	0
	退化	0.334	0.354	0.403	0.418
	降级	0.666	0.645	0.597	0.582
	失效	0	0	0	0
H	健康	0.053	0.037	0.031	0.031
	退化	0.275	0.290	0.245	0.245
	降级	0.440	0.352	0.557	0.546
	失效	0.232	0.321	0.166	0.178

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[2]	王鹏, 刘嘉琛, 董磊, 赵长啸. 面向任务的民机DIMA动态重构策略[J]. 系统工程与电子技术, 2021, 43(6): 1618-1627.
[3]	彭宅铭, 程龙生, 詹君, 姚启峰. 基于改进马田系统的复杂系统健康状态评估[J]. 系统工程与电子技术, 2020, 42(4): 960-968.
[4]	王亮, 卢湛夷, 李卓禹. 基于粗糙集和证据理论的设备状态评估方法[J]. 系统工程与电子技术, 2020, 42(1): 141-147.
[5]	张莹, 王红卫, 陈游. 基于ICW-RCM的辐射源组合威胁评估[J]. 系统工程与电子技术, 2018, 40(3): 557-562.
[6]	陈俊洵, 程龙生, 余慧, 胡绍林. 基于EMD-SVD与马田系统的复杂系统健康状态评估[J]. 系统工程与电子技术, 2017, 39(7): 1542-1548.
[7]	王亮，吕卫民，滕克难，金永川. 基于Petri网的复杂设备健康状态退化分析[J]. 系统工程与电子技术, 2014, 36(10): 1973-1981.
[8]	王亮，吕卫民，滕克难. 基于测试数据的长期贮存装备实时健康状态评估[J]. Journal of Systems Engineering and Electronics, 2013, 35(6): 1212-1217.
[9]	李俨，陈海，张清江，赵凯瑞. 无人机系统健康状态评估方法研究[J]. Journal of Systems Engineering and Electronics, 2011, 33(3): 562-567.
[10]	牟峰, 王慈光, 袁晓辉, 薛锋. 基于云模型的参数自适应蚁群遗传算法[J]. Journal of Systems Engineering and Electronics, 2009, 31(7): 1763-1766.