基于AFI混合聚类算法的轴承故障诊断方法

针对滚动轴承振动信号标记数据量小、故障模式多样的现状，提出了一种基于AFI混合聚类算法的半监督式轴承振动信号故障诊断方法。利用小波包分解方法提取了信号的能量特征谱，并通过主成分分析方法增强了信号的特征；参考迭代自组织数据分析的“分裂”和“合并”的思想，为人工鱼群算法中的个体鱼增加了“分裂进化”和“合并进化”行为；采用模糊C均值方法定义了隶属度矩阵和目标函数，并利用改进的人工鱼群算法，迭代搜寻了目标函数的全局最优解，得到了各故障模式的聚类中心；通过计算测试数据的最近邻聚类中心，实现了故障模式识别。结果表明，该方法无需指定聚类簇数，能在标记数据量小的情况下完成训练，较同类方法表现出了更优的故障模式识别性能。     

不同直径圆球诱导燃烧的振荡机制与频率特性

为了分析不同直径圆球诱导振荡燃烧的规律，并揭示圆球大小在振荡燃烧现象中所发挥的深层次作用，本文采用二维轴对称Euler方程和基元反应模型，对不同直径的圆球在H2/air预混气体中诱导振荡燃烧的现象开展数值模拟研究。研究发现，振荡频率并不是简单地随直径增大而逐渐从高频向低频连续过渡，而是存在两次突变，形成了超高频、高频以及低频三种振荡燃烧模态。在两种模态间过渡时，振荡达到稳定状态前，会存在一段双频耦合的振荡阶段。三种不同振荡燃烧模态的产生是受到了不同振荡机制的作用，而两种模态间过渡时的双频耦合现象则是两种机制相互竞争的结果。     

基于卷积门控循环网络的滚动轴承故障诊断

针对许多基于深度学习的滚动轴承故障诊断方法在小样本数据集下诊断性能下降的问题,提出一种基于卷积门控循环神经网络的轴承故障诊断模型。该模型使用两层的卷积网络来从输入信号中提取特征,同时使用tanh函数作为激活函数,且池化层使用大池化核来进行重叠下采样。将所提取得到的高层特征连接到双向门控循环网络。合并循环网络正向和逆向的最后一个状态,并连接一层全连接层进行输出。选用凯斯西储大学的轴承故障数据集来验证模型在小样本数据集下的诊断性能,实验结果表明,相比于其他类型的模型,该模型在仅有20个训练样本的情况下依然保持97%的识别准确率。      

A novel architecture of electro-hydrostatic actuator with digital distribution

To address the flow imbalance rapidly of the asymmetric Electro-Hydrostatic Actuator (EHA), this paper presents a novel architecture of asymmetric EHA with the Digital Distribution (EHA-DD). It also improves the flow nonlinearity and control accuracy of the pump, especially in the low-speed condition. The digital distribution with two High-Speed on–off Valves (HSVs) not only balances flow instead of the check valves, but also replaces the pump at the low-speed to control output flow by adjusting the PWM signal. The pump and HSVs are the crucial components to control flow output. Firstly, the flow calculation models of the pump and the duty ratio inversed model of the HSV are obtained through experimental tests and the identification method. To get the control input signal for the required flow, the pump speed and PWM duty ratio for the HSVs are inversed to compensate for flow output. Further, a multimode digital flow distribution control method based on pump speed, mainly including the pump-controlled mode for large flow demand and valve-controlled mode for little flow demand, is proposed to control the accurate flow output actively. The step extension experiments based on the flow calculation models are conducted on the EHA-DD prototype under elastic, opposite varying load. The results demonstrate that the EHA-DD realizes little position error by accurate flow control, and it is also beneficial to improve the service life of the pump.     

静压气浮轴承工程设计方法研究

静压气浮轴承是惯性器件测试平台回转支撑轴系的关键部件，其承载能力和回转精度对惯性器件测试的准确性有着重要的影响，目前，静压气浮轴承设计、计算过程复杂，为提高设计效率，简化设计方法，在满足静压气浮轴承性能的条件下，推导了静压气浮轴承工程计算公式，在此基础上，设计了一款双向止推空气轴承，确定了几何参数，计算了空气静压径向轴承、空气静压止推轴承的轴承承载力、刚度、耗气量及摩擦力矩，并与有限元仿真结果进行了对比分析，验证了该设计方法的有效性。     

Remote-controlled flexible pose measurement system and method for a moving target in wind tunnel

The measurement of position and attitude parameters for the isolated target from a high-speed aircraft is a great challenge in the field of wind tunnel simulation technology. This paper proposes a remote-controlled flexible pose measurement system in wind tunnel conditions for the separation of a target from an aircraft. The position and attitude parameters of a moving object are obtained by utilizing a single camera with a focal length and camera orientation that can be changed based on different measurement conditions. Using this proposed system and method, both the flexibility and efficiency of the pose measurement system can be enhanced in wind tunnel conditions to meet the measurement requirements of different objects and experiments, which is also useful for the development of an intelligent position and attitude measurement system. The position and the focal length of the camera also can be controlled remotely during measurements to enlarge both the vertical and horizontal measurement range of this system. Experiments are conducted in the laboratory to measure the position and attitude of moving objects with high flexibility and efficiency, and the measurement precision of the measurement system is also verified through experiments.     

卷积神经网络和峭度在轴承故障诊断中的应用

针对传统智能诊断方法依靠专家知识和人工提取数据特征工作量大的问题,结合深度学习方法在特征提取和处理大数据方面的优势,研究了一种基于卷积神经网络和振动信号峭度指标的滚动轴承故障诊断方法。该方法将深度学习应用于轴承故障诊断,提取滚动轴承正常状态、内圈故障、外圈故障和滚动体故障4种状态的振动信号,将振动信号分段处理得到峭度指标,使用数据到图像的转换方法将峭度指标转换为灰度图,送入卷积神经网络模型完成故障分类。在进行滚动轴承故障诊断的实验时,所提的模型诊断准确率达到99.5%,高于传统支持向量机(SVM)算法的95.8%。      

大型单框架磁悬浮控制力矩陀螺研制关键技术研究

控制力矩陀螺属于航天器姿态控制与机动惯性执行机构,磁悬浮控制力矩陀螺具有输出力矩大、微振动、低噪声、长寿命等特点,是敏捷机动卫星、空间站、天空实验室等理想的惯性执行机构之一.在阐述磁悬浮控制力矩陀螺工作原理、结构特点的基础上,介绍了磁悬浮控制力矩陀螺的电磁设计原理、结构分布及控制系统设计过程.基于大型磁悬浮控制力矩陀螺的主要技术指标,详细分析了大型单框架磁悬浮控制力矩陀螺的三个关键技术和解决途径.包括大承载力永磁偏置磁轴承的设计、制造和控制技术;低功耗高速永磁无刷直流电机的设计、控制技术;低速高精度Halbach型框架电机设计、制造、装配和控制技术.为磁悬浮控制力矩陀螺的进一步工程化应用提供了有效的技术途径.     

多孔质节流空气静压轴承静态性能实验研究

本文采用不锈钢多孔质材料研制了一种新的空气静压轴承,并对不同平均孔径的多孔质空气静压轴承以及一种表面复合节流空气静压轴承的承载能力和刚度进行了实验测试和分析,结果表明,选用合适的不锈钢多孔质材料以及适当的加工方法可以制造高承载能力与高刚度的空气静压轴承。     

高速圆柱滚子轴承动态特性分析

建立了高速圆柱滚子轴承非线性动力学分析数学模型,并采用Newton-Raphson法对该模型进行求解,得到滚子轴承动态性能参数;分析了轴承在不同径向载荷作用下,不同角位置处滚子自转速度变化规律,得出滚子与套圈滚道间最小油膜厚度和接触载荷的分布情况.结果表明:轴承在转速一定时,随着径向载荷的增大,受载滚子数增多;较小的径...