基于模糊信息粒化和优化支持向量机的氧化铝陶瓷超声磨削力趋势预测

为实现超声磨削氧化铝陶瓷中磨削力变化趋势的预测,提出了一种基于模糊信息粒化和支持向量机相结合的方法。首先进行氧化铝陶瓷超声磨削试验,然后利用模糊信息粒化方法对试验获得的磨削力进行粒化处理,并将人工免疫系统算法和粒子群算法进行并联混编构成人工免疫系统粒子群算法(AISPSO),接着建立非线性回归支持向量机预测模型并对模糊粒子进行预测,并通过AISPSO算法优化支持向量机预测模型,最后获得超声磨削氧化铝陶瓷中磨削力的变化趋势和变化范围。结果表明:该方法可以有效实现超声磨削中磨削力的变化趋势及变化范围预测,且预测未来5组数据变化范围的误差在10%以内,这为通过磨削力变化调整工艺参数以获得更好的加工表面提供了新的思路。     

添加稀土元素对热障涂层YSZ陶瓷层晶格畸变的影响

 采用第一原理赝势平面波方法对添加稀土元素的二氧化锆晶胞进行了几何优化计算,对计算后的X-O键键长、晶格常数变化及键集居数进行了分析,并将计算结果与实验数据进行对比讨论。结果表明,添加稀土元素后,二氧化锆晶胞将发生膨胀畸变,X-O键键长变大,键集居数变小。这些变化引起晶格振动频率降低,声子散射加剧,从而使材料热扩散系数降低。此外,在一定范围内,稀土元素的共价半径越大,所引起的膨胀畸变也越大,键集居数越小,材料的热扩散系数也会更小。     

基于图象处理的QR码识别

随着智能手机技术的发展和二维码技术的推广,QR码的手机识别技术的应用越来越广泛.根据QR条码图像符号的特殊性,针对QR码识别过程中手机图像采集的实际情况,应用并改进多种图像处理的方法,用C语言实现了对QR条码的译码,取得了良好的效果.     

Abundances of Light Elements

This paper briefly reviews a few relevant features about the abundances of light elements (D, ⁴He, ⁶Li, ⁷Li, ⁹Be) in the Milky Way. It places special emphasis on metal-poor stars. Observational concerns are discussed. The use of ⁷Li and ⁶Li as cosmological probes and of ⁹Be as a chronometer for the early evolution of our Galaxy are discussed.     

BP神经网络用于传感器故障诊断的仿真研究

在标准逆传播神经网络的基础上 ,提出了一种全新的改进逆传播神经网络 ,用来消除标准逆传播神经网络收敛速度慢和易陷入局部最小点的缺陷 ;并且设计了一个主神经网络和三个分布神经网络的结构 ,通过神经网络的在线学习 ,得到需要的参数估计。用它与传感器测得的实际值比较 ,可判断出故障 ,并且给出了仿真实例。     

Advanced multiple response surface method of sensitivity analysis for turbine blisk reliability with multi-physics coupling

To reasonably implement the reliability analysis and describe the significance of influencing parameters for the multi-failure modes of turbine blisk, advanced multiple response surface method(AMRSM) was proposed for multi-failure mode sensitivity analysis for reliability. The mathematical model of AMRSM was established and the basic principle of multi-failure mode sensitivity analysis for reliability with AMRSM was given. The important parameters of turbine blisk failures are obtained by the multi-failure mode sensitivity analysis of turbine blisk. Through the reliability sensitivity analyses of multiple failure modes(deformation, stress and strain) with the proposed method considering fluid–thermal–solid interaction, it is shown that the comprehensive reliability of turbine blisk is 0.9931 when the allowable deformation, stress and strain are3.7*10~(-3)m, 1.0023*10~9 Pa and 1.05*10~(-2)m/m, respectively; the main impact factors of turbine blisk failure are gas velocity, gas temperature and rotational speed. As demonstrated in the comparison of methods(Monte Carlo(MC) method, traditional response surface method(RSM), multiple response surface method(MRSM) and AMRSM), the proposed AMRSM improves computational efficiency with acceptable computational accuracy. The efforts of this study provide the AMRSM with high precision and efficiency for multi-failure mode reliability analysis, and offer a useful insight for the reliability optimization design of multi-failure mode structure.     

航空变频电源下笼型感应电机矩形转子槽结构优化分析

当前大功率的航空发电机开始采用360~800Hz的变频输出方式,在航空变频电源的直接供电下,感应电机的性能受到频率变化最大的影响是在高频时起动转矩太低。针对笼型感应电机,采用解析计算的方法对矩形转子槽尺寸进行优化,在不改变稳态性能的条件下获得最大起动转矩。深槽尺寸的变化将影响集肤效应系数和槽漏感2个方面,二者对起动转矩的作用相反。通过综合2个方面的因素,建立起包含槽型尺寸和频率的动态转子参数模型,并采用该动态转子参数对传统的转矩公式进行调整,进而获得关于转子槽尺寸的起动力矩解析式,同时基于该解析式实现对起动力矩的优化。采用该解析方法对7.5kW感应电机进行深槽转子优化,并对航空变频电源驱动时的起动特性进行了仿真和样机实验,验证了该方法在矩形转子槽优化设计中的有效性。     

Uncertain multiobjective redundancy allocation problem of repairable systems based on artificial bee colony algorithm

Based on the uncertainty theory, this paper is devoted to the redundancy allocation problem in repairable parallel-series systems with uncertain factors, where the failure rate, repair rate and other relative coefficients involved are considered as uncertain variables. The availability of the system and the corresponding designing cost are considered as two optimization objectives. A crisp multiobjective optimization formulation is presented on the basis of uncertainty theory to solve this resultant problem. For solving this problem efficiently, a new multiobjective artificial bee colony algorithm is proposed to search the Pareto efficient set, which introduces rank value and crowding distance in the greedy selection strategy, applies fast non-dominated sort procedure in the exploitation search and inserts tournament selection in the onlooker bee phase. It shows that the proposed algorithm outperforms NSGA-II greatly and can solve multiobjective redundancy allocation problem efficiently. Finally, a numerical example is provided to illustrate this approach.     

液体火箭发动机涡轮泵故障诊断的新方法

针对传统的液体火箭发动机涡轮泵故障诊断方法只能在有样本数据并且样本数据充足的情况下才能进行准确诊断以及诊断时难以提取状态特征的缺点,提出一种适用于涡轮泵在线监测及诊断方法,该方法利用生物免疫系统的反面选择机理,利用生物克隆和学习机理使改进型反面选择算法产生的检测器具有不同的检测半径,使其能更有效地覆盖异常空间,能有效地提取涡轮泵的状态特征,避免了检测器产生效率低等问题。实例诊断结果表明:该方法较好地解决了故障样本难以获取及有效地提取涡轮泵的状态特征的问题,能准确监测出涡轮泵各种常见故障所引起的异常并能准确诊断,较高诊断精度表明该方法是可行的,并且具有较好的在线性、准确性及鲁棒性,为液体火箭发动机涡轮泵故障异常检测探索了一条新路。     

基于多处理机系统在超立方体上并行仿真BP神经网

摘 要 本文介绍了人工神经网络的基本实现途径，并对 Intel iPSC860／P超级计算机系统作了简介，给出了在超立方体上实现BP算法并进行并行仿真所得到的结论