基于模态分析的变速箱振动测点优化配置

针对坦克变速箱振动信号在状态监测中测点的选择问题,提出了根据不同测点的频响特性优化振动测点的方法。通过分析变速箱箱体的有限元动力学模型,得到箱体的各阶固有频率和振型,选择模态分析中总位移较大的位置作为最优的测点安装传感器,为试验测点布置以及状态监测和评估提供理论支持。研究结果表明：位于风扇联动装置齿轮箱附近的传感器对变速箱振动信号的强弱变化比较敏感。     

基于有限元的坦克变速箱体模态分析

建立了坦克变速箱体详细的有限元模型,采用Lanczos算法对箱体结构进行了模态分析,计算出了箱体结构的前16阶非刚体模态的固有频率及相应振型.分析结果显示了箱体各部分结构振动的强弱分布以及抗振薄弱区,为下一步的动态响应及动态修正提供了必要的依据.该分析结果也为变速箱故障诊断提供了参考依据.     

模糊综合评判在武器费用-效能分析中的应用

针对武器费用-效能分析需综合考虑费用、效能和时间三方面因素的问题,提出一种基于模糊综合评判法的多目标决策问题的解决方案.介绍了模糊综合评判的数学模型,总结了在应用模糊综合评判进行辅助决策时需要注意的三点问题,最后结合实例对4种飞机备选研制方案,通过建立单因素评判的模糊优先矩阵、计算单因素排序向量进而得到评判矩阵,采用加权平均型合成算子,将评判矩阵与由KLEE法得到的加权向量进行合成,得出了4种方案的费用-效能分析结果,为方案的选择提供了依据,结果表明,这种方法具有实用价值.     

基于贝叶斯理论的自学习模糊综合评判研究

在目前多专家故障诊断系统采用的模糊综合评判方法基础上,根据某特定故障的理论诊断结果及实际检测、维修结果,利用贝叶斯理论,对特定故障下各专家的初始权重集进行实时更新,实现了模糊综合评判的自学习,提高了诊断的准确性.最后给出了方法在"康明斯柴油机故障诊断专家系统"中的应用实例,验证了方法的有效性.     

复杂激励下封闭空腔结构-声耦合场分析

针对复杂激励情况,提出了一种分析封闭空腔结构-声耦合场的新方法。该方法首先利用弹性结构表面有限个测点的法向振速分布计算得到结构模态幅度向量;然后,重建弹性结构表面法向振速场并实现对整个腔内声压场的预测,并在此基础上,为提高重建精度、减小计算量,开展了结构模态截断和测点位置优化等问题研究,给出了结构模态截断原则和测点位置优化方法;最后,以板-腔耦合模型为例进行了分析。结果表明:所提结构-声耦合场求解方法是可行的,给出的结构模态截断原则和测点位置优化方法是有效的。     

应急指挥决策方案的模糊综合评价研究

针对灾害现场应急指挥决策方案优选问题,提出了方案优选评价的可行性、时效性和安全性指标,应用模糊数学的相关理论构建了模糊综合评价的数学模型,采取专家调查打分法解决了方案评价影响因素的权重值及其评价等级的隶属度的确定问题,并采取加权平均算法对权重集A和影响因素评判隶属度矩阵R进行运算,得到的结果不仅反映了所有因素权值的影响,而且保留了单因素评判的全部信息,能够体现"模糊综合评价"的实质。     

基于FAHP和改进模糊综合评判的地空导弹阵地优选

依据地空导弹阵地选择要求,给出了阵地选择方案评价的层次结构模型,利用模糊层次分析法确定了权重,并将模糊综合评判法与灰色系统理论相结合,建立地空导弹阵地方案选择的灰色模糊综合评判模型,利用实例进行了分析与评价,得出了其优劣排序.研究结果证明了该评价方法的正确性和实用性.     

防空兵群指挥所配置方案优化分析

防空兵群指挥所配置是兵力部署的重要内容,它从根本上决定了指挥所的指挥效能和野战生存能力。多年来,指挥所的配置多是根据防空兵战斗的相关战术原则,由作战参谋提出数个配置方案,然后由指挥员做出决策。这种仅凭主观决策的做法与现代防空作战的要求不相适应。结合模糊多指标评判方法与优化理论,从发挥指挥效能与提高生存能力两个方面出发,对防空群指挥所的配置进行了分析,并建立了配置方案优化的模型,从根本上改变了指挥所配置完全依赖主观判断的做法。最后应用模型分析了一个实例。     

基于决策满意度的装备备件配置仿真优化方法

作为装备维修保障体系的重要组成部分,备件的合理配置是装备保障的核心,直接影响装备的使用可用度.而如何在保证装备的使用可用度情况下使备件的保障费用尽可能地减少,是决策者最关心的问题.提出一种基于决策满意度的装备备件配置仿真优化方法,通过蒙特卡罗仿真建立装备使用可用度模型,并在二级维修保障模型进行仿真的基础上,利用模糊多目标优化对备件的使用可用度和备件保障费用这两个指标进行综合评判,最后得到符合决策满意度的备件配置方案.     

小波分析和神经网络结合的变速箱状态识别

针对变速箱故障信号的非平稳和时变特性，提出了小波分析和神经网络结合的变速箱状态识别方法。为了验证该方法的有效性，试验模拟了某型车辆变速箱正常、7216轴承滚动体点蚀及3挡被动齿轮严重磨损3种状态，以箱体振动信号作为分析信号，首先对信号应用小波阈值法降噪减少干扰，接着将小波分解系数单子带重构得到不同频带的信号分量，提取各频带能量作为特征向量输人神经网络进行状态识别，结果表明该方法能有效识别变速箱的3种状态。     

Optimal sensor placement for underwater threat detection

The optimization framework for optimal sensor placement for underwater threat detection has been developed. It considers single‐period and multiperiod detection models, each of which includes two components: detection algorithm and optimization problem for sensor placement. The detection algorithms for single‐period and multiperiod models are based on likelihood ratio and sequential testing, respectively. For the both models, the optimization problems use the principle of superadditive coverage, which is closely related to energy‐based and information‐based approaches. An algorithm for quasi‐regular sensor placement approximating solutions to the optimization problems has been developed based on corresponding continuous relaxations and a criterion for its applicability has been obtained. Numerical experiments have demonstrated that the algorithm consistently outperforms existing optimization techniques for optimal sensor placement.© 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

船艇液压设备故障检测诊断测点优化分析

在介绍液压传动控制技术在船艇装备应用的基础上,分析了液压系统的特点及其故障定位的困难性,提出了测点优化选择的重要性和现实性。依据成熟的图论理论、数学方法及测点布置的相关研究,结合已有的测点布置技术,对测点布置在液压设备上的优化选择进行了分析。     

A robust sensor covering and communication problem

We consider the problem of placing sensors across some area of interest. The sensors must be placed so that they cover a fixed set of targets in the region, and should be deployed in a manner that allows sensors to communicate with one another. In particular, there exists a measure of communication effectiveness for each sensor pair, which is determined by a concave function of distance between the sensors. Complicating the sensor location problem are uncertainties related to sensor placement, for example, as caused by drifting due to air or water currents to which the sensors may be subjected. Our problem thus seeks to maximize a metric regarding intrasensor communication effectiveness, subject to the condition that all targets must be covered by some sensor, where sensor drift occurs according to a robust (worst‐case) mechanism. We formulate an approximation approach and develop a cutting‐plane algorithm to solve this problem, comparing the effectiveness of two different classes of inequalities. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 582–594, 2015     

斜拉桥监测系统传感器位置的寻优

分析了传感器系统尤其是传感器布点位置在桥梁结构健康监测中的重要性,对桥梁结构传感器优化布点作了详细的分类及论述。分析了遗传算法的特点和优点,并将其与传统优化算法作了比较。利用遗传算法研究了宁波招宝山独塔不对称斜拉桥健康监测系统中传感器的最优布点问题。结果表明,用遗传算法进行传感器最优布点具有结果稳定可靠,收敛迅速的特点,能够满足系统的要求。     

一种系统存在有界干扰的混合自适应极点配置方案

主要讨论了确定性单输入单输出连续时间系统存在有界干扰时的混合自适应极点配置问题,给出了一种间接式混合自适应极点配置方案,并以某飞行器自动驾驶仪为例,对该方案进行了数字仿真,结果表明,该方案能有效地抑制有界干扰的不利影响。     

无线传感器网络中保证覆盖的最少节点部署

无线传感器网络的能量消耗是空间不均匀的,但当前多数的部署方法考虑得较少,网络的能量利用率低,因此提出了保证覆盖率和网络生存期的最少节点部署问题.基于传感器网络的数据传输特性,从提高能量效率和降低剩余能量的角度提出了节点数递减的重叠放置方法和节点密度递减的随机部署方法.两种新部署方法比已有部署方法需要的节点数少,剩余能量低,因而提高了能量利用率.最后,仿真实验表明,两种新部署策略的能量效率是已有方法的3～4倍.     

基于人工神经网络的齿轮箱载荷识别研究

提出了一种基于实测结构响应识别作用在齿轮箱上激励的方法 ,该方法利用人工神经网络建立响应信号与激励之间的映射模型。通过单级齿轮箱上所做的试验数据表明 ,这种利用人工神经网络识别齿轮箱载荷的方法是可行的 ,并且 ,经过训练的网络模型在齿轮箱载荷识别的过程中显示了极快的收敛速度和很高的识别精度。     

基于CC253O的烟雾传感器节点设计与实现

随着社会发展对消防安全的要求越来越高,实时地采集传输监测数据变得至关重要Ⅲ。本文针对现存的烟雾传感器节点可靠性差、准确率低、电路复杂,不易组网,并且在很多特定区域无法安装等问题,提出了基于CC2530的烟雾监测节点设计方案,并完成了以CC2530射频芯片为核心的烟雾传感器节点的硬、软件设计。实验测试证明,该节点满足无线消防监测系统的需要,具有高可靠性、低功耗以及低成本的特点,有着较好的应用前景。     

A new energy efficient management approach for wireless sensor networks in target tracking

This paper mainly studied the problem of energy conserving in wireless sensor networks for target tracking in defensing combats. Firstly, the structures of wireless sensor nodes and networks were illustrated; Secondly, the analysis of existing energy consuming in the sensing layer and its calculation method were provided to build the energy conserving objective function; What's more, the other two indicators in target tracking, including target detection probability and tracking accuracy, were combined to be regarded as the constraints of the energy conserving objective function. Fourthly, the three energy conserving approaches, containing optimizing the management scheme, prolonging the time interval between two adjacent observations, and transmitting the observations selectively, were introduced; In addition, the improved lion algorithm combined with the Logistic chaos sequence was proposed to obtain sensor management schemes. Finally, simulations had been made to prove the effectiveness of the proposed methods and algorithm.     

Sensor radiation interception risk control in target tracking

This paper is mainly on the problem of radiation interception risk control in sensor network for target tracking. Firstly, the sensor radiation interception risk is defined as the product of the interception probability and the cost caused by the interception. Secondly, the radiation interception probability model and cost model are established, based on which the calculation method of interception risk can be obtained. Thirdly, a sensor scheduling model of radiation risk control is established, taking the minimum interception risk as the objective function. Then the Hungarian algorithm is proposed to obtain sensor scheduling scheme. Finally, simulation experiments are mad to prove the effectiveness of the methods proposed in this paper, which shows that compared with the sensor radiation interception probability control method, the interception risk control method can keep the sensor scheduling scheme in low risk as well as protect sensors of importance in the sensor network.