基于模糊诊断原理的航空液压油泵车故障诊断系统的研究

航空液压油泵车是重要的航空地面保障装备,其结构复杂,故障率较高,开发故障诊断系统对保证油泵车具有高可靠性和良好的维修性具有重要意义.本文结合某新型航空液压油泵车的研制提出了一种基于模糊诊断原理的航空液压油泵车故障智能诊断方法.通过对油泵车故障模式的研究确定了故障征兆、临界指标及故障成因,基于模糊诊断原理建立了油泵车故障智能诊断数学模型,现场实际运行测试及大量故障诊断实例表明,本系统实现了航空液压油泵车故障的准确快速诊断.     

弹地人在回路末制导时延补偿改进模型

基于弹地通信链路的人在回路制导导弹利用惯性导航系统短时导航精度高的特点,对导弹末制导中导引指令的时间延迟提出了两种补偿模型及改进方法。通过Simulink仿真,得出距离和导引量与目标横向误差的关系及其方法改进后精度的提高幅度,并进行了分析。仿真结果验证了该方法的有效性。     

A nonlinear background removal method for seismo-ionospheric anomaly analysis under a complex solar activity scenario: A case study of the M9.0 Tohoku earthquake

A precise determination of ionospheric total electron content (TEC) anomaly variations that are likely associated with large earthquakes as observed by global positioning system (GPS) requires the elimination of the ionospheric effect from irregular solar electromagnetic radiation. In particular, revealing the seismo-ionospheric anomalies when earthquakes occurred during periods of high solar activity is of utmost importance. To overcome this constraint, a multiresolution time series processing technique based on wavelet transform applicable to global ionosphere map (GIM) TEC data was used to remove the nonlinear effect from solar radiation for the earthquake that struck Tohoku, Japan, on 11 March, 2011. As a result, it was found that the extracted TEC have a good correlation with the measured solar extreme ultraviolet flux in 26–34 nm (EUV_26–34) and the 10.7 cm solar radio flux (F_10.7). After removing the influence of solar radiation origin in GIM TEC, the analysis results show that the TEC around the forthcoming epicenter and its conjugate were significantly enhanced in the afternoon period of 8 March 2011, 3 days before the earthquake. The spatial distributions of the TEC anomalous and extreme enhancements indicate that the earthquake preparation process had brought with a TEC anomaly area of size approximately 1650 and 5700 km in the latitudinal and longitudinal directions, respectively.     

高逼真度燃油重心控制仿真平台开发

针对现有燃油重心控制仿真手段存在的不足,提出了基于Flowmaster、CATIA与VB交联仿真的燃油重心控制仿真技术方案,重点论述了该技术方案中涉及的燃油质量特性数据库建立和燃油系统交联仿真,在此基础上搭建了燃油重心控制仿真平台。以某型飞机为例,进行了燃油重心控制仿真分析,验证了平台的可行性和有效性。     

High temperature alters the growth reaction of Pottia protonemata.

Under gravistimulation, dark-grown protonemata of Pottia intermedia revealed negative gravitropism with a growth rate of approximately 28 μm·h⁻¹ at room temperature (20 °C). In 7 days, the protonema formed a bundle of vertically oriented filaments. At an elevated temperature (30 °C), bundles of vertically growing filaments were also formed. However, both filament growth rate and amplitude of the gravicurvature were reduced. Red light (RL) irradiation induced a positive phototropism of most apical protonemal cells at 20 °C. In a following period of darkness, approximately two-thirds of such cells began to grow upward again, recovering their negative gravitropism. RL irradiation at the elevated temperature caused a partial increase in the number of protonemal cells with negative phototropism, but the protonemata did not exhibit negative gravitropism after transfer to darkness. The negative gravitropic reaction was renewed only when protonemata were placed at 20 °C. A dramatic decrease in starch amount in protonemal apical cells, which are sensitive to both gravity and light, occurred at the higher temperature. Such a decrease may be one of the reasons for the inhibition of the protonemal gravireaction at the higher temperature. The observation has a bearing on the starch-statolith theory.     

相对论性离子束（环束）流引起的电磁不稳定性

在相对论性框架下，研究了冷离子流产生的右旋共振模，非共振模电磁不稳定性的特征结果表明，非共振模不稳定性增长率受离子流初始参数影响较大，而右旋共振模的增长率则受离子流初始参数影响较小。此结果可应用于太阳高能离子流通过低日冕区和地球磁层辐射带俘获的高能质子情形。     

轴编C/C复合材料组分材料有效性能

利用光学显微镜观测和测量轴编C/C复合材料细观编织结构及其尺寸,建立轴编C/C复合材料有限元模型,通过给出组分材料有效性能的变化区间,构造组分材料性能与轴编C/C复合材料宏观有效性能的对应关系,利用径向基函数(RBF)人工神经网络(ANN)方法,对该高度非线性的对应关系进行训练,通过轴编C/C复合材料宏观实验结果,预报其组分材料的有效性能。结果表明,轴编C/C复合材料面内弹性性能基本相同,在测量时可忽略面内纤维束铺设方向的影响;人工神经网络对训练样本有一定的依赖性,但通过多次随机构造样本训练网络,可得到理想的预测结果,且人工神经网络方法具有很好的容错性,能很好地预报轴编C/C复合材料组分材料的有效性能。     

基于DCT-CS的脉冲星周期超快速估计方法

受快速傅里叶变换（fast Fourier transform，FFT）的影响，基于FFT和压缩感知（compressive sensing, CS）的脉冲星周期快速估计算法的计算量大。为进一步减小计算量并提高计算精度，利用离散余弦变换（discrete cosine transform，DCT)取代FFT，提出了一种基于DCT-CS的脉冲星周期超快速估计算法。在该方法中，利用DCT提取脉冲星信号的低频部分构建低频DCT矩阵；构建畸变轮廓字典并获取累积轮廓；提出了利用最大值超分辨率稀疏恢复估计脉冲星周期的方法。仿真结果表明，DCT-CS的脉冲星周期估计精度达到了3.82×10-12 s，计算时间达到了9.31 ms。与FFT-CS相比，周期估计精度提高了约16%，计算时间缩短了约37.5%，实现了实时高精度的脉冲星周期估计。     

民用运输类飞机最大可用速率抬前轮试飞技术研究

最大可用速率抬前轮试飞是验证抬前轮速度与起飞安全速度的重要依据,也是难度较大、风险较高的试验项目。以起飞动力学分析为基点,得出最大可用速率抬前轮试飞可能达到的最大迎角,并结合相应的适航审定条款,分析了影响该科目试飞的主要因素,给出了最大可用速率抬前轮试飞技术分析和数据处理方法。     

基于多核融合的目标大面积遮挡处理方法

提出了一种基于多核融合的目标遮挡处理方法,用于提高大面积遮挡情况下视觉目标跟踪算法的鲁棒性和准确性.与现有基于单个对称核加权直方图的mean shift跟踪算法不同,该方法以目标区域内的多个非中心位置为核函数中心,构建多个非对称核加权直方图.由于这些直方图对目标的不同区域赋予了不同的权重,使得在遮挡发生时总存在一些直方图受影响较小.依据各个直方图分别进行mean shift迭代获得一组目标位置估计后,利用D-S证据理论融合判定最终的目标位置.实验结果表明,该方法在目标被大面积遮挡时仍能够获得准确的跟踪.