基于PSO-ELM的军用飞机维修保障系统效能评估研究
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摘要
维修保障系统效能评估是军用飞机精细化、规范化管理的一项重要措施,科学的维修保障系统效能评估是精细化保障的基础,是提升战斗力的保证。针对军用飞机的维修保障系统效能评估问题,在总结军用飞机维修保障系统效能评估体系的基础上,提出基于粒子群优化极限学习机算法(PSO-ELM)的维修保障系统效能评估模型;并通过实例进行验证。结果表明:该算法应用于军用飞机维修保障系统的效能评估是可行的,可为军用飞机维修保障效能评估提供借鉴。
Effectiveness evaluation of maintenance support system is one of the most important measures in the fine and standardized management of military aircraft.A scientific effectiveness evaluation of maintenance support system is the foundation of fine protection and the guarantee of improving the fighting capacity.Targeted at the issue of the maintenance support system effectiveness evaluation of the military aircraft,the thesis firstly summarized effectiveness evaluation systems of maintenance support system,and a effectiveness evaluation model is proposed based on PSO-ELM.Finally,the feasibility of the method is verified through analysis,which can provide reference for the effectiveness evaluation of maintenance support of military aircraft.
Effectiveness evaluation of maintenance support system is one of the most important measures in the fine and standardized management of military aircraft.A scientific effectiveness evaluation of maintenance support system is the foundation of fine protection and the guarantee of improving the fighting capacity.Targeted at the issue of the maintenance support system effectiveness evaluation of the military aircraft,the thesis firstly summarized effectiveness evaluation systems of maintenance support system,and a effectiveness evaluation model is proposed based on PSO-ELM.Finally,the feasibility of the method is verified through analysis,which can provide reference for the effectiveness evaluation of maintenance support of military aircraft.
引文
[1]祝华远,贾向军,孙明礼,等.军用飞机维修保障系统综合评估方法[J].四川兵工学报,2014,35(7):37-39.Zhu Huayuan,Jia Xiangjun,Sun Mingli,et al.Evaluation method of battleplan maintenance support system[J].Sichuan Ordnance Journal,2014,35(7):37-39.(in Chinese)
[2]杨晶,黎放,狄鹏.改进BP网络的舰船装备保障资源保障能力评估[J].火力与指挥控制,2012,37(2):35-71.Yang Jing,Li Fang,Di Peng.Support ability evaluation of ship equipment supportability resources based on improved BP network[J].Fire Control&Command Control,2012,37(2):35-71.(in Chinese)
[3]刘刚,王远达.飞机定检周期变化对维修保障效能影响的仿真研究[J].航空工程进展,2010,1(4):412-416.Liu Gang,Wang Yuanda.Research on effectiveness evaluation of aircraft maintenance and optimization of the cycle of periodic maintenance[J].Advances in Aeronautical Science and Engineering,2010,1(4):412-416.(in Chinese)
[4]敬军.国内装备维修保障资源优化技术研究综述[J].中国舰船研究,2013,8(4):116-122.Jing Jun.Optimization techniques for equipment maintenance support resources in china:a literature review[J].Chinese Journal of Ship Research,2013,8(4):116-122.(in Chinese)
[5]Sherbrooke C C.Vari-metric:improved approximations for multi-indenture,multi-echelon availability models[J].Operations Research,1986,34(2):311-319.
[6]Jennifer A B,Kellie L D,An analysis of air mobility express requirements operating within a lean logistics wartime environment[R].AFIT/GTM/LAL/96S-1,USA:1997.
[7]孟雪松,章引平.浅论航空装备保障性参数体系[J].航空标准化与质量,1997,3:40-44.Meng Xuesong,Zhang Yinping.A primary study on the parameter system of aviation equipment supportability[J].Aviation Standardization and Quality,1997,3:40-44.(in Chinese)
[8]武昌,赵海波.空军通信导航装备维修保障系统效能评估初探[C]∥全军武器装备维修保障技术研讨会论文集.长沙,2002:299-304.Wu Chang,Zhao Haibo.Study on effectiveness evaluation of air force communication navigation equipment maintenance support system[C]∥Proceedings of Military Equipment Maintenance and Support Technology Symposium.Changsha,2002:299-304.(in Chinese)
[9]张涛.装备使用阶段维修保障能力评估建模与分析[D].长沙:国防科技大学,2004.Zhang Tao.Modeling and analysis of maintenance support capability assessment of equipment in the usage phase[D].Changsha:National Defense Technology University,2004.(in Chinese)
[10]王东南.面向任务的维修保障能力评估建模与仿真技术研究[D].长沙:国防科技大学,2005.Wang Dongnan.Modeling and simulation of task-oriented evaluation of maintenance support capability[D].Changsha:National Defense Technology University,2005.(in Chinese)
[11]张建军.作战单元维修保障能力评估与优化技术研究[D].长沙:国防科技大学,2008.Zhang Jianjun.Study on combat unit maintenance capability evaluation and optimization technology[D].Changsha:National Defense Technology University,2008.(in Chinese)
[12]王术新,王猛.舰船柴油机维修保障效能分析及评估研究[J].船舶工程,2011,33(2):48-51.Wang Shuxin,Wang Meng.Analysis and evaluation of maintenance support effectiveness of marine diesel engine[J].Marine Engineering,2011,33(2):48-51.(in Chinese)
[13]王文秀,贾向军,孙鲁青.灰色聚类法在航空装备维修保障能力评估中的应用[J].航空维修与工程,2012,6:78-79.Wang Wenxiu,Jia Xiangjun,Sun Luqing.Application of grey clustering method in aircraft maintenance supportability evaluation[J].Aviation Maintenance and Engineering,2012,6:78-79.(in Chinese)
[14]张夏阳,黄其青,殷之平,等.基于GA-ELM的飞行载荷参数识别[J].航空维修与工程,2012,6:78-79.Zhang Xiayang,Huang Qiqing,Yin Zhiping,et al.Establishing aparametric flight loads identification method with GA-ELM model[J].Aviation Maintenance and Engineering,2012,6:78-79.(in Chinese)
[15]王杰,毕浩洋.一种基于粒子群优化的极限学习机[J].郑州大学学报:理学版,2013,45(1):100-104.Wang Jie,Bi Haoyang.A new extreme learning machine optimized by PSO[J].Journal of Zhengzhou University:Natural Science Edition,2013,45(1):100-104.(in Chinese)
[16]杨梅花,夏露,张欣,等.基于粒子群和人工蜂群混合算法的气动优化设计[J].航空工程进展,2017,8(2):182-189.Yang Meihua,Xia Lu,Zhang Xin,et al.Aerodynamic optimization design based on hybrid optimization algorithm of particle swarm optimization and artificial bee colony algorithm[J].Advances in Aeronautical Science and Engineering,2017,8(2):182-189.(in Chinese)
[17]于海夫,薛惠峰.粒子群算法在求解航空项目资源均衡优化问题中的应用[J].航空工程进展,2015,6(3):360-365.Yu Haifu,Xue Huifeng.Application of particle swarm algorithm on resource equalization optimization of aviation project[J].Advances in Aeronautical Science and Engineering,2015,6(3):360-365.(in Chinese)
[2]杨晶,黎放,狄鹏.改进BP网络的舰船装备保障资源保障能力评估[J].火力与指挥控制,2012,37(2):35-71.Yang Jing,Li Fang,Di Peng.Support ability evaluation of ship equipment supportability resources based on improved BP network[J].Fire Control&Command Control,2012,37(2):35-71.(in Chinese)
[3]刘刚,王远达.飞机定检周期变化对维修保障效能影响的仿真研究[J].航空工程进展,2010,1(4):412-416.Liu Gang,Wang Yuanda.Research on effectiveness evaluation of aircraft maintenance and optimization of the cycle of periodic maintenance[J].Advances in Aeronautical Science and Engineering,2010,1(4):412-416.(in Chinese)
[4]敬军.国内装备维修保障资源优化技术研究综述[J].中国舰船研究,2013,8(4):116-122.Jing Jun.Optimization techniques for equipment maintenance support resources in china:a literature review[J].Chinese Journal of Ship Research,2013,8(4):116-122.(in Chinese)
[5]Sherbrooke C C.Vari-metric:improved approximations for multi-indenture,multi-echelon availability models[J].Operations Research,1986,34(2):311-319.
[6]Jennifer A B,Kellie L D,An analysis of air mobility express requirements operating within a lean logistics wartime environment[R].AFIT/GTM/LAL/96S-1,USA:1997.
[7]孟雪松,章引平.浅论航空装备保障性参数体系[J].航空标准化与质量,1997,3:40-44.Meng Xuesong,Zhang Yinping.A primary study on the parameter system of aviation equipment supportability[J].Aviation Standardization and Quality,1997,3:40-44.(in Chinese)
[8]武昌,赵海波.空军通信导航装备维修保障系统效能评估初探[C]∥全军武器装备维修保障技术研讨会论文集.长沙,2002:299-304.Wu Chang,Zhao Haibo.Study on effectiveness evaluation of air force communication navigation equipment maintenance support system[C]∥Proceedings of Military Equipment Maintenance and Support Technology Symposium.Changsha,2002:299-304.(in Chinese)
[9]张涛.装备使用阶段维修保障能力评估建模与分析[D].长沙:国防科技大学,2004.Zhang Tao.Modeling and analysis of maintenance support capability assessment of equipment in the usage phase[D].Changsha:National Defense Technology University,2004.(in Chinese)
[10]王东南.面向任务的维修保障能力评估建模与仿真技术研究[D].长沙:国防科技大学,2005.Wang Dongnan.Modeling and simulation of task-oriented evaluation of maintenance support capability[D].Changsha:National Defense Technology University,2005.(in Chinese)
[11]张建军.作战单元维修保障能力评估与优化技术研究[D].长沙:国防科技大学,2008.Zhang Jianjun.Study on combat unit maintenance capability evaluation and optimization technology[D].Changsha:National Defense Technology University,2008.(in Chinese)
[12]王术新,王猛.舰船柴油机维修保障效能分析及评估研究[J].船舶工程,2011,33(2):48-51.Wang Shuxin,Wang Meng.Analysis and evaluation of maintenance support effectiveness of marine diesel engine[J].Marine Engineering,2011,33(2):48-51.(in Chinese)
[13]王文秀,贾向军,孙鲁青.灰色聚类法在航空装备维修保障能力评估中的应用[J].航空维修与工程,2012,6:78-79.Wang Wenxiu,Jia Xiangjun,Sun Luqing.Application of grey clustering method in aircraft maintenance supportability evaluation[J].Aviation Maintenance and Engineering,2012,6:78-79.(in Chinese)
[14]张夏阳,黄其青,殷之平,等.基于GA-ELM的飞行载荷参数识别[J].航空维修与工程,2012,6:78-79.Zhang Xiayang,Huang Qiqing,Yin Zhiping,et al.Establishing aparametric flight loads identification method with GA-ELM model[J].Aviation Maintenance and Engineering,2012,6:78-79.(in Chinese)
[15]王杰,毕浩洋.一种基于粒子群优化的极限学习机[J].郑州大学学报:理学版,2013,45(1):100-104.Wang Jie,Bi Haoyang.A new extreme learning machine optimized by PSO[J].Journal of Zhengzhou University:Natural Science Edition,2013,45(1):100-104.(in Chinese)
[16]杨梅花,夏露,张欣,等.基于粒子群和人工蜂群混合算法的气动优化设计[J].航空工程进展,2017,8(2):182-189.Yang Meihua,Xia Lu,Zhang Xin,et al.Aerodynamic optimization design based on hybrid optimization algorithm of particle swarm optimization and artificial bee colony algorithm[J].Advances in Aeronautical Science and Engineering,2017,8(2):182-189.(in Chinese)
[17]于海夫,薛惠峰.粒子群算法在求解航空项目资源均衡优化问题中的应用[J].航空工程进展,2015,6(3):360-365.Yu Haifu,Xue Huifeng.Application of particle swarm algorithm on resource equalization optimization of aviation project[J].Advances in Aeronautical Science and Engineering,2015,6(3):360-365.(in Chinese)