某型航空涡扇发动机静电传感器机载化监测实验

计了一种特定尺寸的静电传感器,并将其装配在涡扇发动机低压涡轮出口附近的尾喷管管壁,以民用涡扇发动机为静电传感器载体及监测对象开展静电监测实验.以一个完整性能试车过程为周期,采集周期内的尾气静电信号.进一步对静电信号和发动机性能参数进行数据对比分析,同时对测试过程中异常状态下活动率水平（AL）和负事件率（NER）进行计算.实验验证了航空发动机静电监测技术具备机载化的可行性,实验结果表明:正常状态下静电信号电压幅值大小约为5mV,静电水平跟随运行功率变化并呈正相关性;静电传感器对尾气中存在的异常颗粒具有良好的监测效果,在发动机富油状态下静电信号的活动率水平和负事件率分别达到14pC及8%.      

利用Delphi设计开发卫星测控设备远程实时监控子系统

介绍了卫星某频段控制设备远程实时监控系统的总体设计思想,以及利用Ｄｅｌｐｈｉ３ ．０ 开发的具体实现方法,其中涉及了许多Ｄｅｌｐｈｉ 的最新技术。     

工业远程监控系统实施新方案

近期远程监控系统在工业中逐步推广,针对工业系统的特点和工业网络的实际情况,在原有工业系统的基础上,增加现场设备区域的图像监控和数据传输功能,提出了一种工业远程监控系统实施方案.本文论述了该系统的结构、原理及实现方法,经具体实施证明,本文提出的方案已基本能够满足一个通用的基于公用网络的远程视频监控系统的要求,体现了较重要的理论价值和很强的工程实用价值.     

空间环境监测与试验体系初步设想

随着我国空间技术的快速发展,空间环境与效应问题已经受到越来越多的关注。文章在国内外空间环境监测与试验研究发展现状的基础上,指出我国在该领域存在的问题。对于我国空间环境监测与试验体系的发展,提出了制定并完善相应规划、建设空间环境观测体系以及加强相关技术的研究等有益的建议。     

An enhanced least squares residual RAIM algorithm based on optimal decentralized factor

The Least Squares Residual(LSR) algorithm is commonly used in the Receiver Autonomous Integrity Monitoring(RAIM). However, LSR algorithm presents high Missed Detection Risk(MDR) caused by a large-slope faulty satellite and high False Alert Risk(FAR) caused by a small-slope faulty satellite. In this paper, the LSR algorithm is improved to reduce the MDR for a large-slope faulty satellite and the FAR for a small-slope faulty satellite. Based on the analysis of the vertical critical slope, the opti...     

涡轴发动机状态监测系统的研究

介绍了某型涡轴发动机健康状况监视系统的总体方案，给出了用于发动机诊断的状态监测参数和性能评估参数；建立了利用故障因子概念诊断发动机故障的数学模型，运用发动机的实际无故障数据的模拟故障数据进行了仿真。结果表明，诊断结论可信。该系统对在役发动机的健康监视具有实用性。     

Online condition diagnosis for a two-stage gearbox machinery of an aerospace utilization system using an ensemble multi-fault features indexing approach

China manned space station is designed to operate for over ten years. Long-term and sustainable research on space science and technology will be conducted during its operation. The application payloads must meet the ‘‘long life and high reliability" mission requirement. Gearbox machinery is one of the essential devices in an aerospace utilization system, failure of which may lead to downtime loss even during some disastrous catastrophes. A fault diagnosis of gearbox has attracted attentions for its significance in preventing catastrophic accidents and guaranteeing sufficient maintenance. A novel fault diagnosis method based on the Ensemble Multi-Fault Features Indexing(EMFFI) approach is proposed for the condition monitoring of gearboxes. Different from traditional methods of signal analysis in the one-dimensional space, this study employs a supervised learning method to determine the faults of a gearbox in a two-dimensional space using the classification model established by training the features extracted automatically from diagnostic vibration signals captured. The proposed method mainly includes the following steps. First, the vibration signals are transformed into a bi-spectrum contour map utilizing bi-spectrum technology,which provides a basis for the following image-based feature extraction. Then, Speeded-Up Robustness Feature(SURF) is applied to automatically extract the image feature points of the bi-spectrum contour map using a multi-fault features indexing theory, and the feature dimension is reduced by Linear Discriminant Analysis(LDA). Finally, Random Forest(RF) is introduced to identify the fault types of the gearbox. The test results verify that the proposed method based on the multi-fault features indexing approach achieves the target of high diagnostic accuracy and can serve as a highly effective technique to discover faults in a gearbox machinery such as a two-stage one.     

基于超声导波的贮箱绝热层脱粘检测试验

研究使用超声导波对绝热层脱粘损伤进行检测的可行性.在铝板上采用环氧树脂粘接片状结构聚酰亚胺泡沫模拟绝热结构.通过在铝板上布置一对可变角度的楔形探头,改变入射角度和激励信号中心频率产生适当的导波模态,采用Pitch-catch方式研究不同扫描路径上的超声导波在贴片结构上的传播特性变化.实验结果表明绝热层泡沫吸收了超声导波大部分能量,采用超声导波可定性地检测绝热结构的脱粘状况,包括脱粘位置和大小.     

Optimal Earth’s reentry disposal of the Galileo constellation

Nowadays there is international consensus that space activities must be managed to minimize debris generation and risk. The paper presents a method for the end-of-life (EoL) disposal of spacecraft in Medium Earth Orbit (MEO). The problem is formulated as a multiobjective optimisation one, which is solved with an evolutionary algorithm. An impulsive manoeuvre is optimised to reenter the spacecraft in Earth’s atmosphere within 100?years. Pareto optimal solutions are obtained using the manoeuvre $\mathrm{\Delta }v$ and the time-to-reentry as objective functions to be minimised. To explore at the best the search space a semi-analytical orbit propagator, which can propagate an orbit for 100?years in few seconds, is adopted. An in-depth analysis of the results is carried out to understand the conditions leading to a fast reentry with minimum propellant. For this aim a new way of representing the disposal solutions is introduced. With a single 2D plot we are able to fully describe the time evolution of all the relevant orbital parameters as well as identify the conditions that enables the eccentricity build-up. The EoL disposal of the Galileo constellation is used as test case.     

Real-time coseismic wave retrieving by integrated Kalman filter with observations of GPS,Glonass and strong-motion sensor

A method of real-time coseismic wave retrieving was proposed based on the tight integration of GPS, Glonass and strong-motion sensor observations, the validation and precision analysis have been made by an experimental data. The series of results have been shown that: by the integrated Kalman filter and multi-sensors, the coseismic waves can be optimally recovered by complement the advantages of each other, especially when the observation conditions are very bad. In additional, the results are not significantly effected by different receiver clock error processes for the integration solution.