船舶轴带无刷双馈电机短路电流分析与保护设计

当船舶轴带无刷双馈电机(BDFG)功率绕组发生三相短路故障时,短路电流会对系统造成较大的危害。因此,有必要设计专门的保护电路保障系统的安全。利用空间旋转坐标系,建立船舶轴带BDFG功率绕组三相短路时的动态方程,并依据磁链守恒定律研究系统短路电流的变化特性。通过分析短路电流的各个分量,提出加入撬棒电阻和直流卸载电路的保护方式来卸载过电流,并进一步研究加入保护电路后的电流变化特性。以1台30 kVA的BDFG为仿真对象,运用MATLAB/Simulink进行模型仿真和理论值计算,验证了保护电路的有效性,对船舶轴带BDFG电气安全设计具有指导意义。     

双曲正切变换在VLSI设计中的研究应用

从双曲正切tanh变换在稳健的信号处理和统计估计的观点叙述了双曲正切变换的特性。介绍了利用双曲正切变换特性设计VLSI的方法。通过实际的设计证明,双曲正切变换特性在超大规模集成电路VLSI的设计中有着很好的应用前景。特别是在模拟VLSI的设计中,对包含噪声输入信号的估计和统计分析具有广泛的应用。     

航空发动机滑油光谱专家系统知识库建立

从理论和实际应用两方面对滑油光谱分析故障诊断专家系统知识库的建立进行了较深入的研究和探讨。提出了知识库建立的方法,应用磨损元素浓度与浓度增长率模糊综合评判、模糊聚类的方法定量研究,结合专家经验,较好地解决了故障诊断准确度问题     

孔位对涡轮叶片表面气膜冷却换热系数的影响

采用放大的叶片模型，利用大尺寸低速线性叶栅风洞进行实验，测量了涡轮导向叶片表面不同位置单排气膜孔喷射时下游的换热系数，研究了孔排位置、吹风比的影响。风洞实验段由3个叶片组成，中间的叶片为试验叶片，由优质木材制成。试验叶片表面上开有15排气膜孔，吸力面3排，前缘区6排，压力面6排。实验中吹风比的变化范围是0.5～2.5。研究结果表明：由于气膜孔排位置的不同，喷气对换热系数的影响范围不同，换热系数受吹风比影响的变化趋势也有所不同。     

基于改进SSD的风机叶片表面缺陷检测方法

针对无人机对风机叶片表面缺陷检测中出现的多尺度目标问题,提出一种基于改进SSD的风机叶片缺陷检测方法。以具有多尺度结构框架的目标检测模型SSD为基础,引入残差网络ResNet50作为其特征提取网络,用以获取更深层次的细节特征信息,从而提升缺陷检测模型的整体效果。在建立的风机叶片表面缺陷图像数据集下进行模型验证,结果表明,该方法的平均精确度mAP@.5为84.29%,与YOLOv3和RetainNet相比,对各类型缺陷的平均精确度分别提高了2.92%和8.69%,同时较传统SSD算法平均精确度提升了2.21%。     

基于BOS的过膨胀喷管出口密度测量

背景导向纹影(BOS)因其测试方法简单、测试区域宽、对流场无影响等特点,在超声速流场密度场的测量中有很好的应用前景。根据相关原理,搭建了BOS测试平台并对设计出口Ma=1.9处于严重过膨胀下的喷管出口密度场进行了测量。对实验获得的图像进行处理,获得了喷管出口区域内完整的定量密度场。运用计算流体力学对相同实验状态下喷管出口流场进行了精细的数值模拟。将其与实验结果进行了对比分析,发现实验结果与数值模拟所得的波系结构及激波强度都能够很好地吻合,特别在射流边界外的密度误差在1%以内。这证明了BOS技术能够在有复杂波系的超声速流场密度场测量中获得良好的结果,为超声速流场密度从传统的定性测量转变到定量测量提供了可靠的测试方法。     

Comparative study of the influence of natural convection on directional solidification of Al–3.5 wt% Ni and Al–7 wt% Si alloys

We present numerical simulations of thermosolutal convection for directional solidification of Al–3.5 wt% Ni and Al–7 wt% Si. Numerical results predict that fragmentation of dendrite arms resulting from dissolution could be favored in Al–7 wt% Si, but not in Al–3.5 wt% Ni. Corresponding experiments are in qualitative agreement with the numerical predictions. Distinguishing the two fragmentation mechanisms, namely dissolution and remelting, is critical during experiments on earth, when fluid flow is dominant.     

基于薄膜铌酸锂的微波光子雷达芯片

微波光子雷达拥有分辨率高、处理速度快、同时多波段、多功能等优势,在航天系统中具有广阔的应用前景。为了满足航天应用对雷达系统体积、质量和功耗的严格要求,集成化已经成为微波光子雷达的重要发展方向。介绍了一款基于薄膜铌酸锂的微波光子雷达芯片,利用该芯片实现了雷达发射信号倍频产生和回波信号去斜接收,并对距离天线不同位置的目标进行了测距实验,得到的测量距离与实际距离基本相同,两者之间的误差小于4 mm。     

Fault detection and isolation in GPS receiver autonomous integrity monitoring based on chaos particle swarm optimization-particle filter algorithm

The receiver autonomous integrity monitoring (RAIM) is one of the most important parts in an avionic navigation system. Two problems need to be addressed to improve this system, namely, the degeneracy phenomenon and lack of samples for the standard particle filter (PF). However, the number of samples cannot adequately express the real distribution of the probability density function (i.e., sample impoverishment). This study presents a GPS receiver autonomous integrity monitoring (RAIM) method based on a chaos particle swarm optimization particle filter (CPSO-PF) algorithm with a log likelihood ratio. The chaos sequence generates a set of chaotic variables, which are mapped to the interval of optimization variables to improve particle quality. This chaos perturbation overcomes the potential for the search to become trapped in a local optimum in the particle swarm optimization (PSO) algorithm. Test statistics are configured based on a likelihood ratio, and satellite fault detection is then conducted by checking the consistency between the state estimate of the main PF and those of the auxiliary PFs. Based on GPS data, the experimental results demonstrate that the proposed algorithm can effectively detect and isolate satellite faults under conditions of non-Gaussian measurement noise. Moreover, the performance of the proposed novel method is better than that of RAIM based on the PF or PSO-PF algorithm.