小波包变换和支持向量机模拟电路故障诊断方法

为提高模拟电路故障诊断效率,将小波包变换和支持向量机结合起来,提出了一种完整的模拟电路故障快算检测和准确定位的方案.利用小波包变换对电路输出电压信号进行多层分解,提取各频带的能量作为故障特征,给出了具体的特征提取方法;利用支持向量机的多分类一对一方法,完成电路的故障定位,同时实现了小波函数的选择.在一模拟电路的故障仿真实验中,通过与BP,RBF和PNN等神经网络对比,结果显示该方法的诊断效率是很高的.     

Moving horizon based wavelet de-noising method of dual-observed geomagnetic signal for nonlinear high spin projectile roll positioning

Phase-frequency characteristics of approximate sinusoidal geomagnetic signals can be used for projectile roll positioning and other high-precision trajectory correction applications. The sinusoidal geomagnetic signal deforms in the exposed and magnetically contaminated environment. In order to preciously recognize the roll information and effectively separate the noise component from the original geomagnetic sequence, based on the error source analysis, we propose a moving horizon based wavelet de-noising method for the dual-observed geomagnetic signal filtering where the captured rough roll frequency value provides reasonable wavelet decomposition and reconstruction level selection basis for sampled sequence; a moving horizon window guarantees real-time performance and non-cumulative calculation amount. The complete geomagnetic data in full ballistic range and three intercepted paragraphs are used for performance assessment. The positioning performance of the moving horizon wavelet de-noising method is compared with the band-pass filter. The results show that both noise reduction techniques improve the positioning accuracy while the wavelet de-noising method is always better than the band-pass filter. These results suggest that the proposed moving horizon based wavelet de-noising method of the dual-observed geomagnetic signal is more applicable for various launch conditions with better positioning performance.     

On the reduction of total‐cost and average‐cost MDPs to discounted MDPs

This article provides conditions under which total‐cost and average‐cost Markov decision processes (MDPs) can be reduced to discounted ones. Results are given for transient total‐cost MDPs with transition rates whose values may be greater than one, as well as for average‐cost MDPs with transition probabilities satisfying the condition that there is a state such that the expected time to reach it is uniformly bounded for all initial states and stationary policies. In particular, these reductions imply sufficient conditions for the validity of optimality equations and the existence of stationary optimal policies for MDPs with undiscounted total cost and average‐cost criteria. When the state and action sets are finite, these reductions lead to linear programming formulations and complexity estimates for MDPs under the aforementioned criteria.© 2017 Wiley Periodicals, Inc. Naval Research Logistics 66:38–56, 2019     

Exact analysis of (R,s, S) inventory control systems with lost sales and zero lead time

We study an (R, s, S) inventory control policy with stochastic demand, lost sales, zero lead‐time and a target service level to be satisfied. The system is modeled as a discrete time Markov chain for which we present a novel approach to derive exact closed‐form solutions for the limiting distribution of the on‐hand inventory level at the end of a review period, given the reorder level (s) and order‐up‐to level (S). We then establish a relationship between the limiting distributions for adjacent values of the reorder point that is used in an efficient recursive algorithm to determine the optimal parameter values of the (R, s, S) replenishment policy. The algorithm is easy to implement and entails less effort than solving the steady‐state equations for the corresponding Markov model. Point‐of‐use hospital inventory systems share the essential characteristics of the inventory system we model, and a case study using real data from such a system shows that with our approach, optimal policies with significant savings in inventory management effort are easily obtained for a large family of items.     

电偶腐蚀下非稳态扩散瞬时静电场分析

为分析在浓差极化条件下非稳态过程中的静电场分布情况,在斐克第二定律的基础上利用拉普拉斯变换求解电极表面氧浓度随时间的变化。通过法拉第定律分析受氧浓度控制下的电偶腐蚀电流密度,在此基础上利用电流元模型求解电解质溶液中任意位置处产生的瞬时电位及静电场强度,并通过实验验证结果的正确性。结果表明：浓差极化下的非稳态扩散传质产生的静电场及电位会随着时间的增加而逐渐减小,并最终达到稳态,且电流密度会随着氧的浓度减小而减小。     

二进制偏移载波调制信号畸变误差评估指标研究

随着全球卫星导航系统的发展,二进制偏移载波（BOC）调制信号被广泛采用。全面评估BOC信号的畸变误差对于导航系统的信号完好性评估与监测具有重要意义。前文对于BOC信号的畸变研究较少,没有解析评估BOC信号畸变误差的指标与方法。本文针对三种常见的信号畸变,给出了完善的畸变误差评估指标,能够全面评估畸变误差。同时采用提出的评估指标对北斗全球系统B1频段上的基线信号BOC(14,2)及MBOC(6,1,1/11)信号进行评估。文中提出的畸变误差评估指标能够用于评估现代卫星导航信号的畸变误差,对现代导航信号体制设计及完好性监测均具有指导意义。     

基于小波包和支持向量机的舰用发动机故障诊断

舰用发动机是一个复杂的大系统,由于受到海洋恶劣气候的影响,其故障发生的概率大大增加,因此,对舰用发动机故障诊断进行研究具有重大实际意义。以舰用发动机的主泵轴承为例,提出了基于小波包和支持向量机的故障诊断方法。首先采用振动加速度传感器获取轴承的振动信号,然后对采集数据进行多层小波包分解,求各频带信号能量,形成各种故障模式下的特征向量。将形成的故障特征向量训练集输入到支持向量机,通过训练建立诊断分类器,并运用测试数据对建立的诊断分类器进行测试。实验结果表明,该方法可以很好地实现舰用发动机故障诊断效能,具有很好的工程应用前景。     

海量电磁数据中雷达信号的高效分选方法

针对海量电磁数据中雷达信号难以进行快速准确分选的问题,提出一种新的聚类分选方法,即改进k-means算法的Map Reduce并行化实现方法。通过引入初始聚类中心个数k1、最大聚类中心个数kmax和距离门限rt3个参数,克服了k-means算法需要事先确定k值和易受孤立点影响的局限;基于Hadoop平台实现了对改进k-means算法的Map Reduce并行化,克服了k-means算法串行实现时间复杂度高的局限。最后,实验表明改进k-means算法取得了更高的分选准确率,Map Reduce并行化后具有良好的加速比和扩展性,能够很好地对海量电磁数据中雷达信号进行高效分选。     

多约束下的高超声速飞行器三维非线性自适应末制导律

面向多约束下高超声速飞行器末制导过程中的通道耦合、参数扰动、模型失配等突出问题,设计一种适于高超声速飞行器的三维非线性自适应末制导律。为了模型描述的完整性和简洁性,引入视线旋量和旋量速度的概念,并基于此建立三维制导参考模型和实际系统的表达式;为了保证制导律的鲁棒性和自适应性,基于自适应控制理论,设计一种三维非线性自适应制导律;通过数学推导证明了该制导律的稳定性。该制导律能够从理论上克服高超声速飞行器末制导面临的通道耦合、参数扰动、模型失配等突出问题,满足多约束制导要求。仿真结果验证了所设计制导律的有效性。     

含轴间距误差的消隙齿轮刚柔耦合动力学仿真

轴间距误差对消隙齿轮精度和性能有重要影响,但其机理和规律并不清楚。基于接触碰撞力约束关系建立齿轮接触动力学模型,进一步利用ADAMS/Flex建立单级消隙齿轮传动系统的刚柔耦合模型,通过刚柔耦合动力学仿真研究消隙齿轮传动在不同轴间距制造误差条件下的振动及频率特性。研究发现:随着轴间距的减小,扭簧的平均力矩增大,齿轮齿面间的啮合力矩以及摩擦力矩也将增大,从而阻碍扭矩的正常传递,并导致固定齿轮转速幅值降低;随着轴间距的增大,固定齿轮主谐振频率整体上降低,而且在轴间距稍大于标准中心距时降低很快。这一发现可指导消隙齿轮传动的设计和装配。