共查询到19条相似文献,搜索用时 165 毫秒
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运用数据挖掘技术对航材消耗的历史数据进行关联分析,筛选小对保障飞机飞行有重要作用的航材消耗数据,大大缩减了需要预测的航材数量,同时对消耗航材之间的内在影响关系进行量化。在分析人工鱼群算法原理的基础上,对算法中步长参数和视野范同参数的设置方法进行了改进。实例结果表明,运用小波神经网络预测航材消耗的方法大大降低了预测误差,说明了该方法的有效性、可行性和实用性。 相似文献
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将机器学习应用于航材库存管理之中,提出了基于支持向量回归算法的航材周转件需求预测模型。将聚合处理后的周转件月需求数据分为训练集和测试集,以训练集为输入,选取核函数和模型参数,对支持向量回归机进行训练。应用训练完成的支持向量回归机,以测试集对模型进行验证,预测结果证明了模型的有效性。 相似文献
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浅谈航材库存管理策略 总被引:5,自引:0,他引:5
航材库存管理策略直接影响到飞机维修成本,通过分析航材的分类及其消耗规律,提出了航材库存管理的基本原则,对确定性航材库存策略和随机性航材库存策略进行了初步的探讨。 相似文献
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基于季节特性的航材备件定量订货模型 总被引:1,自引:0,他引:1
为达到降低库存费用、保障飞机持续适航的目的,建立定量订货模型,并通过对部分航材消耗数据的分析,提出利用中心移动平均法求得季节指数的方法,将其作为权系数对该模型进行修正,以提高航材采购数量的精确性。实验证明,该模型能有效地为航材备件的计划采购提供理论指导和决策支持。 相似文献
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航材是航空公司最大的资金消耗和资产类型之一,如何合理规划零备件库存、最大限度地降低航材的保障成本是航空公司航材保障决策的重要目标。从国际先进经验来看,在航材共享模式下,航空公司可以享受减少自身航材储备量,免去自身航材保障相关的采购、库存管理、故障件送修等管理成本,而且付费方式灵活等多种益处。但是,航材共享也存在资产失控的风险,航空公司仍需综合考虑自身机队情况、运营目标等多种复杂因素才能做出正确的航材保障决策。 相似文献
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在分析航材消耗件需求规律的基础上,提出了一种基于多元函数的消耗件经济订货批量模型。结合实际数据定义模型参数,利用非线性约束下的广义拉格朗日乘数法即Kuhn-Tucker最优化条件求解模型极值,最终得到基于最佳订货周期和最小费用的最佳订货量。 相似文献
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针对军队航材保障效率较低、反应时间过长等问题,结合国防与军队信息化、智能化建设的实际,提出了军用航材智能化保障模式;通过运用物联网、神经网络、云计算等方法,对智能化保障模式各功能的实现提出支撑技术,航材智能化保障模式各项功能得以实现;通过对军用航材智能化保障进行模式构建,并就该模式下各功能模块的实现提出支撑技术,革新保障方式,有效提高了航材保障的效率。 相似文献
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航空零件生产调度时,应尽量满足多目标和实时性的要求。结合某航空制造企业的实际生产情况,提出一种基于"穷尽成对比较"技术和改进匈牙利算法的动态调度方法。首先以航空零件调度时的最大完工时间、生产加工成本以及生产能耗为优化目标,构建柔性作业车间多目标动态调度数学模型;然后利用基于"穷尽成对比较"技术的权重参数调节模型对数学模型中各个目标的权重参数进行实时动态调整;最后以各个目标的加权值为总目标,采用改进匈牙利算法求得工序的最优分配结果。结果表明:与传统的动态调度方法相比,动态调度方法能够有效地提高航空企业的生产效率、减少航空企业的生产加工成本并降低对环境的污染,具有较好的综合调度性能。 相似文献
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甲板航空保障作业流程是连接舰载机回收和出动的重要纽带,是舰载机机群作战能力生成的核心环节。面向航空保障作业部分流程的不确定性,以航空保障完工时间最小化为优化目标,考虑甲板作业过程所涉及的固定前后序流程约束、不可并行作业约束、保障人员约束、保障设备约束和资源供给能力约束等约束条件,构建了甲板航空保障作业流程优化的数学模型;在此基础上,针对问题的求解设计了相适应的GRASP算法,在初始解构造阶段引入了基于规则的生成策略,在邻域搜索阶段采用双向对齐机制进行局部优化。基于保障任务案例的仿真结果显示,该算法有效地解决了甲板航空保障作业流程优化且相对于其他经典算法更为高效和稳定。 相似文献
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异地执行飞行任务中航材需求的准确预测是做好携行保障的主要内容之一,为此提出灰色关联度(GRA)与改进的粒子群算法(IPSO)及支持向量机(SVM)相结合的航材预测方法。首先运用GRA 对航材携行需求的影响因素进行分析;其次引入活性因子和非线性惯性系数改进粒子群算法,并通过IPSO 对SVM 参数进行寻优;最后使用优化后的SVM 模型预测航材需求。结果表明:GRA-IPSO-SVM 方法预测结果的均方根误差比PSO-SVM 方法下降0.16,平均绝对百分比误差下降2.18%,且预测时间减少了0.7 s。 相似文献
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《Progress in Aerospace Sciences》1999,35(5):413-453
This paper is a reasoned conjecture of the future up to 2050 AD including estimates of energy supply and consumption, transport system developments and corresponding pollution effects. Results of the logistic substitution methods (Volterra–Lotka) are used in forecasting trends in innovation, transport and energy. Later work on normative forecasts is also included. The future of aeronautics cannot be isolated from events in other transport modes which together create the major problem of crude oil replacement during the next century. Natural gas will be the dominant energy source for the next 80 years and a major question is how best to use it for aviation.The work on which this paper is based was started in 1992 to answer the following questions:
- 1. Is the future oil shortfall sufficient to restrict aviation traffic and growth in the next 50 years?
- 2. If so, what is its substitute?
- 3. Can a substitute be obtained cheaply enough to free aviation from future kerosine shortages?
- 4. Is it paramount to change to liquid hydrogen fuel to avoid future fuel shortage in aeronautics, incidentally conferring possible environmental advantages?
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The study of the development cost of general aviation aircraft is limited by small samples with many cost-driven factors. This paper investigates a parametric modeling method for prediction of the development cost of general aviation aircraft. The proposed technique depends on some principal components, acquired by utilizing P value analysis and gray correlation analysis. According to these principal components, the corresponding linear regression and BP neural network models are established respectively. The feasibility and accuracy of the P value analysis are verified by comparing results of model fitting and prediction. A sensitivity analysis related to model precision and suitability is discussed in detail. Results obtained in this study show that the proposed method not only has a certain degree of versatility, but also provides a preliminary prediction of the development cost of general aviation aircraft. 相似文献
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Experimental study of an anti-icing method over an airfoil based on pulsed dielectric barrier discharge plasma 总被引:3,自引:0,他引:3
Aircraft icing has long been a plague to aviation for its serious threat to flight safety. Even though lots of methods for anti-icing have been in use or studied for quite a long time, new methods are still in great demand for both civil and military aircraft. The current study in this paper uses widely used Dielectric Barrier Discharge(DBD) plasma actuation to anti-ice on a NACA0012 airfoil model with a chord length of 53.5 cm in a closed-circuit icing wind tunnel. An actuator was installed at the leading edge of the airfoil model, and actuated by a pulsed low-temperature plasma power source. The actuator has two types of layout, a striped electrode layout and a meshy electrode layout.The ice accretion process or anti-icing process was recorded by a CCD camera and an infrared camera. Instantaneous pictures and infrared contours show that both types of DBD plasma actuators have the ability for anti-ice under a freestream velocity of 90 m/s, a static temperature of -7℃,an Median Volume droplet Diameter(MVD) of 20 lm, and an Liquid Water Content(LWC) of 0.5 g/m~3. The detected variations of temperatures with time at specific locations reveal that the temperatures oscillate for some time after spraying at first, and then tend to be nearly constant values.This shows that the key point of the anti-icing mechanism with DBD plasma actuation is to achieve a thermal equilibrium on the model surface. Besides, the power consumption in the anti-icing process was estimated in this paper by Lissajous figures measured by an oscilloscope, and it is lower than those of existing anti-icing methods. The experimental results presented in this paper indicate that the DBD plasma anti-icing method is a promising technique in the future. 相似文献