一种民航发动机滚动轴承故障预警方法

为了提前感知滚动轴承故障,避免民用航空发动机非计划维护带来的损失,提出了一种故障预警方法.对轴承振动信号进行特征工程,提取其时域和频域特征,引入梯度提升决策树(Gradient boosting decision tree,GBDT)算法,量化了特征重要度;在特征相关性分析的基础上,利用核主成分分析(Kernel pr...     

煤体变形局部化的梯度塑性理论研究

摘 要 本文采用白光数字散斑相关方法对煤在单轴压缩下变形破坏进行研究，定量的测出了煤的变形局部化带宽度。并通过应变梯度塑性理论，在屈服函数中引入应变梯度二阶项。采用Drucker－Prager准则解析得出了煤试件的变形局部化带宽度公式并根据试验确定煤的材料内部长度。     

基于灰度预测的无刷直流电机控制

针对传统PID控制器抗干扰能力差，参数调节繁琐等问题，提出了灰度预测控制器。对灰度预测算法进行了详细的理论分析和数学建模，利用最速梯度法对控制器参数进行调整，设计了参数自适应调整的控制器；对飞轮使用的无刷直流电机进行了较为准确的模型建立，并在此基础上设计了基于灰度预测控制器的电机控制仿真模型。通过仿真分析了两种控制器在正常加速和受到干扰两种情况下的不同表现，验证了灰度预测控制器在调节效果和稳定性等方面的优越性。     

飞机结构装配间隙超差分析与对策

飞机结构装配过程中,间隙、阶差超差类问题比较普遍,如机身部段之间、舵面与结构之间、相邻整流罩壁板之间等.通过对典型的间隙、阶差超差案例进行分析,总结造成间隙、阶差超差的主要原因,并提出解决间隙及阶差超差类问题的系统思路及指导方法.     

A comparative analysis of SLR,MLR, ANN,XGBoost and CNN for crop height estimation of sunflower using Sentinel-1 and Sentinel-2

Sustainable monitoring and determining the biophysical characteristics of crops is of global importance due to the increase in demand for food. In this context, remote sensing data provide valuable information on crops. This study investigates the relationship between the variables determined from both Synthetic Aperture Radar (SAR) and optical images and crop height. For this purpose, backscatter (σVH, σVV, σVH / σVV) and coherence (?VH, ?VV) of multi-temporal dual-polarized Sentinel-1 and vegetation indices of multi-temporal Sentinel-2 data are analyzed. Two indices, namely, Normalized Difference Vegetation Index (NDVI) and NDVI with the red-edge band (NDVIred), are interpreted to identify the contribution of the red-edge band over the near-infrared band. The Zile District of Tokat province in Turkey where dominantly sunflower cultivation is carried out, was selected as the study area. In the analysis of the data, Simple Linear Regression (SLR), Multiple Linear Regression (MLR), Artificial Neural Network (ANN), EXtreme Gradient Boosting (XGBoost), and Convolutional Neural Network (CNN) were used. In the results of the study, ANN showed the lowest RMSE = 3.083 cm (RMSE%= 11.284) in the stem elongation period. The CNN followed the lowest RMSE for the Inflorescence development and flowering stages 19.223 cm (RMSE%=15.458) and 8.731 cm (RMSE%=5.821), respectively. In the ripening period, XGBoost achieved the lowest RMSE = 8.731 cm (RMSE%=6.091). All the best models in four methods were created using common variables of σVH, σVV, ?VH, ?VV and NDVIred, except ANN which exclude coherence variables. The results concluded that NDVIred contributed more than NDVI which is widely interpreted in previous studies.     

Modeling the ionospheric gradient by using VSS base functions and GPS data over Iran

The spatial and temporal variations of ionosphere play an important role in positioning and navigation by the space geodetic techniques. Therefore, the ionospheric gradient should be calculated, analyzed, and applied in both space and time. Spatial gradients of the ionosphere have remarkable delay on the propagation of electromagnetic waves. This study intends to propose a new method for simultaneous modeling of the spatial gradients of ionosphere and VTECs in the local scale for Iran. Vector Spherical Slepian (VSS) base functions are used for the development of this method.Five VSS models with the maximal degrees of L = 30, 35, 40, 45 and 50 are taken into account. For implementing the VSS method, 24 permanent GPS stations from the Iranian Permanent GPS Network (IPGN) have been used. The unknown coefficients are estimated with the observations of these stations with least squares technique. Four other stations are used for evaluating the accuracy of the models. Repeatability of baselines is the measure that is used for this purpose. Based on the results obtained, L = 40 is the optimum degree for the VSS model with this input data over Iran.The baselines’ repeatability showed that ionospheric gradients have more influence on the north–south component. Moreover, the spatial gradient is negligible in the east–west and up-down component when a short baseline is processed. In other words, this kind of ionospheric modeling has significant application for baseline, which is longer than 1000 km. In the study, proposed method has improved the long baselines' solution by more than 12%, 18% and 10% in east–west, north–south and up-down components, respectively.     

Whole-process modeling of titanium disc forming for gradient distributions of temperature and deformation

Gradient distributions of temperature and deformation (GDTD) are crucial for achieving dual-performance discs of titanium alloys which is required by the service environment of aeroengine. However, heating, cooling and deforming sequence in the whole process of the titanium disc forming, which leads to difficulties for achieving GDTD due to a lot of parameters. To solve this problem, a whole-process model of the titanium disc forming for GDTD has been established. In the model, heating and cooling via heat radiation, conduction and convection, and deforming by local loading with mold chilling are all considered. Experiments on heating and cooling as well as deforming were carried out by using a furnace and the Gleeble-3500 machine. The experimental data are used to determine thermal parameters and constitutive relations of the IMI834 titanium alloy, and then to verify the reliability of the model. Then the model was used to simulate the evolution rules of temperature and deformation of the titanium disc. The results show that the heating surface, furnace temperature, billet profile and loading rate play the core role for the control of GDTD, and thus a set of parameters were determined. Therefore, this work provides a base for developing a new forming technology of the dual-performance titanium discs with the approach of local heating and local loading.     

抗磁性物质磁悬浮方法在空间生物学与生物技术中的应用

失重是特定空间运动条件下的重要环境物理特征之一, 一般以微重力环境来表示. 几十年来人类利用空间失重环境进行了多学科领域的科学研究与探索. 由于真实空间失重环境下科学实验机会稀少, 人类为研究空间失重环境或效应, 开发了多种地基的空间模拟实验技术方法. 然而, 对于空间生物学和空间生物技术研究而言, 已有的各种模拟实验技术手段在原理上和应用上均存在一定的局限性. 本文介绍了抗磁性物质在大梯度强磁场中的悬浮现象, 及将其用于模拟空间失重环境的方法与原理;简述了近年来利用抗磁性物质悬浮方法进行生物大分子晶体生长、分子细胞生物学及整体生物学等方面研究与应用的进展.      

一种基于高阶统计量的SAR图像自聚焦算法

 提出了一种基于高阶统计量分析的相位误差估计算法,用于SAR 图像自聚焦。该算法从复图像域出发,通过循环移位及加窗处理孤立强点目标,利用高阶累积量对高斯噪声的抑制能力,在距离压缩相位历史域估计相位误差。由于避免了对加性噪声及干扰很敏感的差分运算,相位误差的估计结果有很好的鲁棒性。仿真及实测数据的处理结果证明了该算法的可行性。     

化学镀SiC/Ni-P功能梯度材料工艺、组织及性能

通过对化学镀Ｎｉ－ Ｐ－ ＳｉＣ复合镀层的研究,找到了制备ＳｉＣ／Ｎｉ－ Ｐ 功能梯度材料（ＦＧＭ） 的工艺方法。并采用光学显微镜、电子探针分析仪及热震试验等方法和手段对功能梯度材料的组织、形貌、成分与镀层结合力进行了研究。结果表明,功能梯度材料中ＳｉＣ微粒以弥散状态沿镀层厚度方向呈梯度分布,无团聚结块现象,材料致密,组织细小。功能梯度材料较单层Ｎｉ－ Ｐ－ ＳｉＣ复合镀层以及Ｎｉ－ Ｐ／Ｎｉ－ Ｐ－ ＳｉＣ 双层镀层具有更好的结合强度。