Energization of charged particle in a time-dependent chaotic magnetic field with an implication of the production of seed particles in solar energetic particle events

We investigate the acceleration of charged particles in a time-dependent chaotic magnetic field in this work. In earlier works, it has been demonstrated that in an asymmetric wire-loop current systems (WLCSs), the magnetic field is of chaotic in nature. Furthermore, observations also showed that there exist time-varying current loops and current filaments in solar corona. It is therefore natural to conceive that the magnetic field on the solar surface is chaotic and time-dependent. Here, we develop a numerical model to study the acceleration process of charged particles in a time-varying chaotic magnetic field that is generated by an ensemble of 8 WLCSs. We found that the motion of energetic particles in the system is of diffusive in nature and a power law spectrum can quickly develop. The mechanism examined here may serve as an efficient pre-acceleration mechanism that generates the so-called seed particles for diffusive shock acceleration at a coronal mass ejection (CME) driven shock in large solar energetic particle (SEP) events.     

基于CPHD的双层粒子滤波目标跟踪算法

常规基于势概率假设密度滤波(Cardinalized Probability Hypothesis Density,CPHD)的粒子滤波(Particle Fil? ter,PF)跟踪算法应用于多目标跟踪时,容易遇到因粒子数量增加而带来的运算效率下降、目标数目估计不准的问题。文章基于常规粒子滤波 CPHD跟踪算法,通过部署双层粒子,提出基于势概率假设密度滤波的双层粒子滤波 (Two-Layer Particle Filter-CPHD,TLPF-CPHD)算法,以便提高目标数目及状态估计精度。仿真实验结果证明,相比于常规 PF-CPHD算法,新算法具有更好的目标数目和状态估计准确性。     

Experiment of gas plasma plume deflection by magnetic control

To investigate the deflection effect of gas plasma plume controlled by magnetic field, a novel experimental scheme was presented. The Cs2CO3 catalytic ionization seeds were injected into the combustion chamber to obtain gas plasma on a high temperature magneto hydrodynamic (MHD) experiment rig. The plasma jet was deflected under the action of an external magnetic field, resulting in a thrust-vector effect. Particle image velocimetry (PIV) collected two-dimensional images of jet flow field. Through image processing and velocity vector analysis, the jet deflection angle can be obtained quantitatively. At 1800-2500K, the jet deflection was verified experimentally under the condition of 0.45T magnetic field strength. The results indicate that the jet deflection angle increases gradually with the increase of gas temperature, and above 2200K, the jet deflection angle increase obviously. In the process of gas plasma jet, it is feasible to realize the jet deflection controlled by MHD by adding an external magnetic field.     

基于PSO-RWE的自适应小波阈值函数滚动轴承振动信号去噪方法

针对现有小波去噪方法存在阈值函数中未知参数选取依赖经验,导致去噪不充分或去噪后信号失真的问题。提出了一种基于相对小波熵(RWE)的粒子群优化(PSO)算法,用于小波阈值函数中未知参数的自适应寻优,达到滚动轴承振动信号自适应降噪目的。改进了一种含两未知参数的小波阈值函数;以相对小波熵为优化算法的适应度函数对未知参数进行自适应寻优,得到最优小波阈值函数;通过对模拟仿真信号和试验采集的滚动轴承振动信号进行分析。结果表明:优化后的小波去噪方法能够更好地将噪声从染噪信号中滤除,去噪后信号波形的平滑度更好,信噪比相较硬阈值去噪提高294%,而且保留了原始信号更多的细节特征,具有更好的去噪性能和应用实用价值。     

基于离线状态监测的复杂装备预知维修决策及优化

基于免疫粒子群优化算法,对可进行离线状态监测故障呈现渐发特性的复杂装备预知维修决策问题进行了研究。分析了维修决策的必备条件,包括研究对象的前提假设、决策内容、剩余维修时间预测以及维修相关费用;将复杂装备维修决策问题转化为带有约束条件的目标函数求最小解的问题,并构建了数学模型;运用结合粒子群优化算法明确方向性搜索和免疫系统多样性保持能力优势的免疫粒子群算法,对模型进行求解;通过某航空机电设备的实例应用验证,该方法可以有效地解决复杂装备预知维修决策的问题,结果与实际情况基本一致。     

Maneuvering Target Tracking in Dense Clutter Based on Particle Filtering

An improved particle filtering(IPF) is presented to perform maneuvering target tracking in dense clutter.The proposed filter uses several efficient variance reduction methods to combat particle degeneracy,low mode prior probabilities and measure-ment-origin uncertainty.Within the framework of a hybrid state estimation,each particle samples a discrete mode from its poste-rior distribution and the continuous state variables are approximated by a multivariate Gaussian mixture that is updated by an unscented Ka...     

试验研究旋流数对燃烧室气动性能的影响

为了深入了解双级轴向旋流器的旋流数变化对模型环形燃烧室内气流结构与气动性能的影响,采用粒子图像速度仪(PIV)对燃烧室内冷态和液雾燃烧流场进行测量,试验研究在冷、热态情况下不同旋流数对模型燃烧室内回流区的尺寸、平均速度(u,v)、脉动速度(U<,rms>,V<,rms>)以及雷诺剪切应力u'v'分布的影响.研究结果表明...     

基于遗传粒子群算法的模拟电路测试点选择

针对模拟电路测试点选择的特点,提出利用遗传粒子群算法与整数编码故障字典相结合的方法进行测试点选择。首先根据各测试点的数据建立整数编码故障字典,然后利用遗传粒子群算法选取最优测试点。将该方法应用于实际模拟滤波器的测试点选择,结果表明：利用该方法很容易求出模拟电路的全局最优测试点。     

基于粒子群优化的PID神经网络在热电偶数学建模中的应用

为提高热电偶的测温精度,在对热电偶进行数学建模时,结合粒子群算法对PID神经网络进行优化,并设计了实际多路电偶数据采集电路对温度数据进行采集和验证。通过实验验证,粒子群算法的运用加快了PID神经网络的收敛速度、提高了系统稳定性,从而得到了更加精确的热电偶模型,提高了系统的测温精度。     

On the transport of cosmic rays in the distant heliosheath

This paper discusses the transport of energetic charged particles through a sectored magnetic field in distant regions of the inner heliosheath. As the plasma flow slows down on approach to the stagnation point on the heliopause, the distance between the folds of the current sheet decreases to the point where it becomes comparable to the cyclotron radius of a cosmic ray particle. Under these conditions a particle can effectively drift across the stack of magnetic sectors with a speed comparable with the particle’s velocity. For a random distribution of current sheet separation distances, a diffusive transport across the stack of sectors occurs instead. The proposed mechanism could have contributed to unusually high intensities of galactic cosmic rays measured by Voyager 1 in the heliosheath during 2009–2010.