反坦克导弹的气动参数辨识

本文运用极大似然法进行激光驾束制导反坦克导弹气动参数的辨识。在辨识的迭代寻优过程中,采用变步长搜索提高辨识准度;在辨识算法的具体计算处理上,采用了模型分解法,大大减少了计算时间,保证了气动参数的辨识精度。同时给出辨识仿真验证结果.     

一种新的时频分析方法

首先分析了传统时频分析方法的特点及其局限性,而后评述了一种最新的适用于非平稳、非线性信号的通用的时频分析方法--基于经验的模式分解及希尔伯特变换谱,指出了该方法需进一步研究的有关问题     

军队干部交流分配模型研究

针对军队干部交流分配常常采用定性方法的现状,结合每年都要交流大量干部的实际情况,在可行、合理交流的基础上,综合利用Delphi法、系统分解与协调法建立了干部交流分配模型,从而实现了干部在各种类别之间的交流,为军队干部的交流分配提供了定量依据.     

Approximation of multiclass queueing networks with highly variable arrivals under deterministic routing

In this paper, we present the heavy‐traffic bottleneck phenomenon under multiclass deterministic routing and discuss how it can be addressed by decomposition approximation. Examples show that Bitran and Tirupati's method and Whitt's enhancements for deterministic routing may not properly account for this phenomenon. We propose refinements to these methods based on Whitt's variability functions. Results of numerical experiments on simple networks and semiconductor manufacturing process show significant improvement in the approximation of expected waiting time at bottleneck stations. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.     

基于EMD和神经网络的气阀机构故障诊断研究

运用经验模态分解(EMD)对柴油机缸盖振动信号进行分析,求得各内禀模态函数(IMF)的能量百分比;将能量百分比作为神经网络的输入进行网络训练和故障识别,实现了气阀机构的故障诊断,取得了较好的效果。     

有向无环图决策支持向量机和经验模式分解在轴承故障诊断中的应用

当旋转机械发生故障时,其振动信号常常表现出较为复杂的调制形式,经验模式分解能根据信号的真实物理意义完成自适应分解。支持向量机由于其出色的学习性能和良好的推广能力,使其在包括故障诊断在内的众多领域得到较为广泛的应用。利用经验模式分解结果提取频带能量特征向量,采用有向无环图决策支持向量机实现对轴承状态的判别,并基于留一法优化支持向量机的模型参数。最终的应用结果表明,基于EMD和有向无环图决策支持向量机方法可以有效实现对轴承的状态判别。     

许地山小说中宗教救赎的流变

宗教救赎是许地山小说的创作意图和重要特质,它或隐或显地贯穿于许地山的整个小说创作中。他的小说对现实人生和终极理想进行了交错关注,而宗教救赎的意涵也在关注中不断变化。     

Energy‐efficient scheduling for sustainable manufacturing systems with renewable energy resources

Environmentally friendly energy resources open a new opportunity to tackle the problem of energy security and climate change arising from wide use of fossil fuels. This paper focuses on optimizing the allocation of the energy generated by the renewable energy system to minimize the total electricity cost for sustainable manufacturing systems under time‐of‐use tariff by clipping the peak demand. A rolling horizon approach is adopted to handle the uncertainty caused by the weather change. A nonlinear mathematical programming model is established for each decision epoch based on the predicted energy generation and the probability distribution of power demand in the manufacturing plant. The objective function of the model is shown to be convex, Lipchitz‐continuous, and subdifferentiable. A generalized benders decomposition method based on the primal‐dual subgradient descent algorithm is proposed to solve the model. A series of numerical experiments is conducted to show the effectiveness of the solution approach and the significant benefits of using the renewable energy resources.     

Sandwich structure for enhancing the interface reaction of hexanitrohexaazaisowurtzitane and nanoporous carbon scaffolds film to improve the thermal decomposition performance

Improving the thermal decomposition performance of hexanitrohexaazaisowurtzitane (CL-20) by appropriate methods is helpful to promote the combustion performance of CL-20-based solid propellants. In this study, we synthesized a sandwich structure of CL-20 and nanoporous carbon scaffolds film (NCS) and emphatically studied the thermal decomposition performance of the composite structure. Thermogravimetric analysis and differential scanning calorimetry were used to measure the thermal decomposition process of the composite structure. The kinetic parameters of thermal decomposition were calculated by the thermal dynamic analysis software AKTS. These results showed that the thermal decomposition performance of the sandwich structure of CL-20 and NCS was better than CL-20. Among the tested samples, NCS with a pore size of 15 nm had the best catalytic activity for the thermal decomposition of CL-20. Moreover, the thermal decomposition curve of the composite structure at the heating rate of 1 K/min was deconvoluted by mathematical method to study the thermal decomposition process. And a possible catalytic mechanism was proposed. The excellent thermal decomposition performance is due to the sandwich structure enhances the interface reaction of CL-20 and NCS. This work may promote the extensive use of CL-20 in the field of solid rocket propellant.     

经验模态分析法在雷达信号脉内分析中的应用

雷达脉内特征分析是信号分选领域一个重要手段,当脉内信号有多个雷达信号交叠在一起时,很难分析出其各自的调制方式。经验模态分解(EMD)在分析非平稳混合信号时效果显著,但其存在2个明显弊端。针对端点效应问题,首先采用小波分解将信号分解成各分量,随后对除噪声外的各分量利用ARMA模型对信号进行预测,接着对预测后的各分量进行小波重构,从而消除了端点效应,针对虚假分量的问题,结合雷达信号的特点改进了其终止条件,提高了EMD分解的性能。最后,对EMD分解后的各分量进行时频分析,得出雷达脉内信号的调制特征。仿真验证了算法的有效性。