双脉冲瞬态散斑全场测量方法研究CSCD

散斑测量技术在瞬态振动过程测量中具有不可或缺的重要地位。提出双脉冲瞬态散斑全场测量技术，解决了双脉冲激光器与双曝光相机的时序同步的关键技术，设计了基于双脉冲激光器的瞬态散斑光路系统，搭建了双脉冲瞬态散斑全场测量系统，从而实现了（2~800）μs 时间间隔内连续可调的瞬时振动形貌的测量。     

双向比对高精度物理时间同步方法

提出一种面向未来卫星在轨应用的闭环物理高精度时间同步方法。比较了所提方法与其他时间同步方法的区别与优势，建立了远程系统时间同步基本模型与误差传递模型，基于双向测距和时间传递技术分析了高精度钟差获取原理，给出了时钟调整环路的时域频域参数依赖关系。完成了高精度时间同步地面试验系统构建，测试了开环非调钟状态下钟差测量精度误差、闭环调钟状态下时间同步准确度误差以及长时运行情况下的时间同步监测结果。测试结果表明，该方法能够实现优于1 ns量级的时间同步，为高精度时间同步技术研究提供了新的途径。     

基于激光的便携式飞机装配接缝质量检测仪及应用

介绍了一种基于激光的便携式接缝质量检测仪的工作原理及硬件组成。使用该检测仪对飞机缝隙和台阶阶差进行了测量,通过与人工测量进行对比验证,证明了该装置可实现对特征三维信息的快速自动检测,工作准确可靠。     

Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system

Gas Turbine Engines (GTEs) are vastly used for generation of mechanical power in a wide range of applications from airplane propulsion systems to stationary power plants. The gas-path components of a GTE are exposed to harsh operating and ambient conditions, leading to several degradation mechanisms. Because GTE components are mostly inaccessible for direct measurements and their degradation levels must be inferred from the measurements of accessible parameters, it is a challenge to acquire reliable information on the degradation conditions of the parts in different fault modes. In this work, a data-driven fault detection and degradation estimation scheme is developed for GTE diagnostics based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). To verify the performance and accuracy of the developed diagnostic framework on GTE data, an ensemble of measurable gas path parameters has been generated by a high-fidelity GTE model under (a) diverse ambient conditions and control settings, (b) every possible combination of degradation symptoms, and (c) a broad range of signal to noise ratios. The results prove the competency of the developed framework in fault diagnostics and reveal the sensitivity of diagnostic results to measurement noise for different degradation symptoms.     

计算流体力学非结构混合网格高精度格式研究现状

介绍了航空CFD技术中的非结构混合网格高精度格式的基本理论和方法,国内外研究现状,几种非结构混合网格高精度格式。     

飞机装配质量数字化检测技术研究及应用

针对飞机装配过程质量评价对数字化测量技术的需求,开展了面向飞机装配的数字化测量特征设计、测量方案设计、多系统异构测量场构建、测量误差分析与修正等技术研究,并以表面类、内部结构特征、大部件对接和活动部件装配质量的控制为例,阐述了测量设备选型、整体测量场的构建方法及其应用效果.     

弹道导弹落点精度分析与仿真方法研究

通过对影响弹道导弹的落点精度的因素分类和影响分析,提出了利用仿真技术预测和修正弹道导弹落点偏差的方法。综合诸影响因素对导弹进行全弹道仿真试验设计和分析,为改进设计提供一定的依据。     

基于Measurement Studio的民机颤振试飞数据实时监控分析系统设计与研究

颤振试飞是风险极高、多学科交叉的复杂试飞科目,其实时监控及分析显得极为重要。以某型国产民机颤振试飞为背景,基于Measurement Studio平台,设计开发了颤振试飞数据实时监控分析系统。系统集成了半带宽法、快速傅里叶变换、小波转换等算法,实现了颤振数据的时频域分析、阻尼计算,并以文本格式在实时状态下记录了颤振数据,同时以多线程和DataBinding模型完成了分析结果的实时显示,为国产民机的安全试飞提供了技术保障。     

一种实时测控集群数据处理进程软件控制方法

在基于集群架构的实时测控系统上,通过软件设计实现一种满足数据处理实时性和系统高可用的集群数据处理进程控制方法。计算节点运行的数据处理进程采用多线程设计,对时间驱动线程和数据驱动线程分别设计了工作信号处理流程。实践证明方法不但能够保证计算节点完成数据处理任务的实时性和可靠性,还能动态完成集群节点的任务迁移和故障恢复,提高了测控集群系统的实时性和可用性,从而有效发挥集群系统架构在测控系统中应用的优势。     

Fault diagnosis based on measurement reconstruction of HPT exit pressure for turbofan engine

Aero-engine gas path health monitoring plays a critical role in Engine Health Management(EHM). To achieve unbiased estimation, traditional filtering methods have strict requirements on measurement parameters which sometimes cannot be measured in engineering. The most typical one is the High-Pressure Turbine(HPT) exit pressure, which is vital to distinguishing failure modes between different turbines. For the case of an abrupt failure occurring in a single turbine component, a model-based sensor measurement reconstruction method is proposed in this paper. First,to estimate the missing measurements, the forward algorithm and the backward algorithm are developed based on corresponding component models according to the failure hypotheses. Then,a new fault diagnosis logic is designed and the traditional nonlinear filter is improved by adding the measurement estimation module and the health parameter correction module, which uses the reconstructed measurement to complete the health parameters estimation. Simulation results show that the proposed method can well restore the desired measurement and the estimated measurement can be used in the turbofan engine gas path diagnosis. Compared with the diagnosis under the condition of missing sensors, this method can distinguish between different failure modes, quantify the variations of health parameters, and achieve good performance at multiple operating points in the flight envelope.