基于遗传算法与DSM的产品结构分解聚类方法

产品结构的分解聚类在产品开发中有着重要的地位,在用设计结构矩阵(D es ign structure m atrix,DSM)对产品结构进行建模的基础上,通过遗传算法实现了产品结构分解聚类的智能化和分解聚类结果的最优化。在算法的设计过程中开发了一种对DSM进行二维编码的方法,并给出了在二维编码基础上的多点杂交和基本变异方法。在构造适应度函数时,综合考虑了DSM模型中各元素之间的联系、聚类的数目以及各聚类中元素的数目。最后以某摩托车发动机为例,用该算法实现了产品结构DSM模型的智能化分解聚类,验证了该算法的可行性。     

面向网络机群系统的结构有限元并行分析

提出了基于网络机群的有限元并行分析方法,结合网络机群体系的特点,分析了这一方法所应具有的基本特点:分布式并行建模;子区域间计算任务弱相关;节点负载平衡。在自建的网络并行平台上,实现了无重叠区域分解直接算法的并行处理,并进行了算例验证。     

太阳F10.7指数准27天振荡的小波分析

利用1956-2003年的F10.7日均值数据,采用Morlet小波变换方法,分析了准27天振荡的特征及与太阳活动11年周期(Schwabe周期)的关系.结果表明,F10.7的准27天振荡的幅度和周期存在明显的短期变化现象,不同年里变化的程度差别很大,有些年里起伏非常剧烈,在几天到几十天的很短时间里,幅度变化达十几倍,周期可变化数天,甚至发生十几天的突变;有些年里,幅度变化很大但起伏很小,周期也比较稳定.准27天振荡的年平均幅度存在明显的逐年变化,与太阳活动显著相关.一般说来,F10.7越高,准27天振荡的幅度就越大,然而在太阳活动19周峰年,F10.7比其他活动周的值都高,但准27天振荡的幅度却比其他活动周低.准27天振荡的周期也有明显的逐年变化,除了个别年(如1987年),年平均周期在24至31天之间变化,与太阳活动周期没有明显的关系.48年的平均周期为27.3天.从总体看,周期有逐渐缩短的趋势,48年里周期大约减少了1.5天.造成准27天振荡起伏的因素非常复杂,有待深入研究.      

最新CCSDS图像压缩算法研究与实现

2005年CCSDS(空间数据系统咨询委员会)推出了一项新的图像数据压缩算法标准,制定算法标准的目的是为了解决有效载荷设备的数据压缩以及如何分段压缩能使地面更好地接收图像数据和解压缩.算法的应用能够减少静态图像的数据量,这样不仅可以降低传输带宽,减少数据存储,而且在给定码率情况下能缩短传输时间,这对空间数据压缩具有重要意义.针对CCSDS最新推出的图像压缩算法进行了研究并对其性能进行了阐述,分析了算法硬件实现的可行性,并将算法软件实现的结果与其他图像压缩算法的实现结果进行了测试比较,结果表明在低码率下压缩性能与JPEG 2000,SPIHT相当,甚至更好,完全符合星载图像压缩在低码率下传输的要求.      

树枝状纳米钴微晶对AP/HTPB推进剂性能的影响

采用化学还原法制备了纳米钴微晶,采用XRD、SEM、TEM和EDAX对产物进行了表征。结果表明,纳米钴微晶呈树枝状、结晶度高、颗粒尺寸均匀。运用DTA分析研究了纳米钴微晶对AP和AP/HTPB推进剂分解的催化性能及对AP/HTPB推进剂燃烧性能的影响。结果显示,纳米钴微晶对AP热分解有着极强的催化活性,对降低AP/HTPB推进剂压强指数有着较好的效果。     

CL-20/HMX混合体系的热分解

用高压差示扫描量热法(PDSC)研究了六硝基六氮杂异伍兹烷/奥克托今(CL-20/HMX)混合体系在常压及高压下的热分解行为,比较了混合体系在不同压强下的热分解特征,用Ozawa法获得了0.1、1、3 MPa下混合体系中CL-20的热分解动力学参数,讨论了混合体系组分的混合比和压强对其热分解动力学参数的影响。结果表明,随着压强的增大及HMX含量的增高,CL-20分解表观活化能提高。     

含CL-20 的NEPE推进剂热分解

借助热重-微商热重(TG-DTG)试验和差示扫描量热(DSC)试验研究了含CL-20的NEPE推进剂的热分解特性,探索了主要组分NG、CL-20、AP和催化剂之间的相互作用。实验结果表明,该推进剂的热分解过程分3个阶段:增塑剂(NG)的挥发和分解,PEG CL-20的分解,AP的分解。CL-20促进了NG和PEG的分解,NG与PEG并未影响CL-20的分解。AP的加入促进了CL-20的分解,同时CL-20也使AP的分解由单质2步分解合并为1步。Al粉在该体系中与其他组分的相互作用较弱。催化剂Ct1和Ct2在一定程度上抑制了推进剂中NG、CL-20和AP的起始分解,对于NG起始分解的抑制作用更为明显,当温度升高,抑制作用消失即分解开始时,分解速率大幅提高,从而使推进剂热分解的放热历程缩短,致使推进剂燃速提高。     

小型航空活塞发动机喷油异常的故障诊断

针对小型航空活塞发动机出现的喷油异常故障,基于发动机的缸内压力和缸盖振动信号,采用一种变分模态分解和布谷鸟搜索优化支持向量机相结合的故障诊断方法对发动机喷油异常故障进行诊断.该方法使用变分模态分解对发动机的缸内压力信号和缸盖振动信号进行处理得到本征模态函数,对本征模态函数进行奇异值分解和能量特征提取,将缸内压力和缸盖振...     

Flame features and oscillation characteristics in near-blowout swirl-stabilized flames using high-speed OH-PLIF and mode decomposition methods

Flame features and dynamics are important to the explanation and prediction of a lean blowout (LBO) phenomenon. In this paper, recognition of near-LBO flame features and oscillation characterization methods were proposed based on flame spectroscopic images. High-speed planar laser-induced fluorescence measurements of OH were used to capture unique dynamic features such as the local extinction and reignition feature and entrained reactant pockets. The Zernike moment demonstrated a good performance in recognition of stability and near-LBO conditions, though the geometric moment had more advantages to characterize frequency characteristics. Low-frequency oscillations, especially at the obvious self-excited oscillation frequency around 200 Hz, were found when approaching an LBO condition, which can be expected to be used as a novel prediction characteristic parameter of the flameout limit. Proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) were used to conduct dynamic analysis of near-LBO flames. POD modes spectra showed the unique frequency characteristics of stable and near-LBO flames, which were basically in line with those at the heat-release frequency. The primary POD modes demonstrated that the radial vibration mode dominated in a stable flame, while the rotation mode was found to exist in a near-LBO flame. Analysis of modal decomposition showed that flame shedding and agminated entrained reactant pockets were responsible for generating self-excited flame oscillations.     

A novel temperature-compensation method based on correlation analysis for multi-FOG INS

Aimed at improving the bias stability of Fiber-Optic Gyroscope (FOG)-based inertial navigation systems in environments of various ambient temperatures, a novel temperature-compensation method based on a correlation analysis of the same batch of FOGs is proposed. The empirical mode decomposition method was employed to filter the high-frequency noises of the FOGs. Then, the correlation information of the multiple FOGs was used to analyze the feasibility of the method. Eventually, the same residual error of the FOGs was compensated via the simple piecewise linear models. The experimental results indicate that excellent compensation effects for both high- and low-accuracy FOGs are achieved using the proposed method. Specifically, the accuracies of high-accuracy FOGs are improved by approximately 33.9%, 20%, and 31.2%, while those of low-accuracy FOGs are improved by approximately 39.1%, 20.8%, and 26.1%. The method exhibits the merits of simplicity, validity, and stability, and thus is expected to be widely used in engineering applications.