新型Σ-Δ多通道动态测试分析系统研究与实现

 动态测试与分析系统需要动态范围（DRN）大、信噪比（SNR）高,传统方法实现复杂且成本高。本文分析了Σ-Δ调制的动态特性,提出基于Σ-Δ ADC(模-数转换器)ADS1271,Σ-Δ DAC（数-模转换器）AIC23及浮点数字信号处理器（DSP）芯片TMS320C6713的新型高精度动态测试与分析系统,实现了多通道实时动态测试与分析,系统具有24位采集精度,8通道可级联基本模块,实时频率细化FFT（Zoom-FFT）、功率谱密度（PSD）等分析功能, 正弦、瞬态扫频、随机和冲击响应谱等信号源功能以及高速USB2.0数据传输功能。系统用于振动、冲击、噪声工程等测试与分析系统,可取代国外最新产品。     

基于旋转变压器数字转换器模块的角度信号测量仪

在介绍旋转变压器数字转换器结构、特性和工作原理的基础上,详细分析了用XSZ旋转变压器数字转换器模块设计角度信号测量仪的设计思路和电路实现方法。     

航空压气机叶片激光测量仪处理系统软件设计

从航空发动机压气机叶片型面检测的传统方法及特点出发,简单介绍了激光测量仪总体系统,重点阐述了处理系统软件的设计,并将其应用于实践中。     

目前我国宏观经济状况及其调控

2007年12月5日落幕的中央经济工作会议提出,防止经济转向过热和明显通胀是2008年中国宏观调控的首要任务。2008年4月16日,国家统计局发布了一季度我国国民经济运行的主要数据,文章以此研究中央经济工作会议确立的目标能否实现,在一季度数据背景下,应采取哪些宏观调控政策来保证经济平稳运行和健康发展。     

AOS虚拟信道链路控制器和VCDU合路器的设计实现

在深入研究高级在轨系统(AOS)标准和对星载数据系统进行分析的基础上,设计实现了AOS虚拟信道链路控制器和虚拟信道数据单元(VCDU)合路器。该设计采用现场可编程门阵列(FPGA)实现高级在轨系统虚拟信道链路控制(VCLC)子层的位流业务和虚拟信道存取(VCA)子层的VCA业务,完成了位流协议数据单元(B_PDU)的构造,VCDU的组装、调度、填充和定界等功能,实现了对整星数据流的统一管理。在卫星的星载数据系统设计中,将有效载荷数据和航天器平台数据合一,形成统一数据流,可以节约频率资源,支持宽带数据传输、实现整星数据流的统一管理,使整个系统更灵活、更开放、更有效,提高卫星的自主管理能力。     

基于Lab Windows/CVI的实用填表程序的开发方法

在基于Lab Windows/CVI的测试程序运行过程中,操作者经常使用填表的手段与系统进行交互,文中探讨了通过引用数据文件和数据库,针对多种格式的填表内容,编制实用填表程序的方法。     

检定几何量仪器标准器组测量不确定度评定

以标准线纹尺、小量块组、多面棱体、刻线样板、标准半圆球、渐开线样板检定／校准几何量光学仪器时,标准器组的测量不确定度评定。     

光栅式长度仪表示值误差检定系统

介绍了光栅式长度仪表示值误差检定系统的基本工作原理以及关键技术的解决。本系统具有测量精度高、重复性好、智能化、操作简单、用户可自由扩展等优点。     

A novel virtual material layer model for predicting natural frequencies of composite bolted joints

A novel virtual material layer model based on the fractal theory was proposed to predict the natural frequencies of carbon fiber reinforced plastic composite bolted joints. Rough contact surfaces of composite bolted joints are modeled with this new proposed approach. Numerical and experimental modal analyses were conducted to validate the effectiveness of the proposed model. A good consistence is noted between the numerical and experimental results. To demonstrate the necessity of accurately modeling the rough contact surfaces in the prediction of natural frequencies, virtual material layer model was compared with the widely used traditional model based on the Master-Slave contact algorithm and experiments, respectively. Results show that the proposed model has a better agreement with experiments than the widely used traditional model (the prediction accuracy is raised by 8.77% when the pre-tightening torque is 0.5 N∙m). Real contact area ratio A* of three different virtual material layers were calculated. Value of A* were discussed with dimensionless load P*, fractal dimension D and fractal roughness G. This work provides a new efficient way for accurately modeling the rough contact surfaces and predicting the natural frequencies of composite bolted joints, which can be used to help engineers in the dynamic design of composite materials.     

Virtual sensing method for monitoring vibration of continuously variable configuration structures using long short-term memory networks

Vibration monitoring by virtual sensing methods has been well developed for linear time-invariant structures with limited sensors. However, few methods are proposed for Time-Varying (TV) structures which are inevitable in aerospace engineering. The core of vibration monitoring for TV structures is to describe the TV structural dynamic characteristics with accuracy and efficiency. This paper propose a new method using the Long Short-Term Memory (LSTM) networks for Continuously Variable Configuration Structures (CVCSs), which is an important subclass of TV structures. The configuration parameters are used to represent the time-varying dynamic characteristics by the “freezing” method. The relationship between TV dynamic characteristics and vibration responses is established by LSTM, and can be generalized to estimate the responses with unknown TV processes benefiting from the time translation invariance of LSTM. A numerical example and a liquid-filled pipe experiment are used to test the performance of the proposed method. The results demonstrate that the proposed method can accurately estimate the unmeasured responses for CVCSs to reveal the actual characteristics in time-domain and modal-domain. Besides, the average one-step estimation time of responses is less than the sampling interval. Thus, the proposed method is promising to on-line estimate the important responses of TV structures.