基于HMM的机载设备状态健康评估方法研究

针对机载设备的状态健康评估问题,采用隐马尔科夫模型(HMM)对其进行性能退化程度的评估。首先引入状态条件概率矢量对HMM进行不确定性改进,并推导了其表达式;其次以状态条件概率比值为基础,给出了机载设备状态等级量化分值的计算方法,并据此设计了机载设备状态健康评估流程。最后以飞机发动机温控放大器为例进行仿真验证,结果表明上述方法能够给出直观、准确的状态评估结果。     

基于联合变换相关的机载航空相机像移测量

为了提高像移测量精度,针对机载航空摆扫相机提出一种坐标变换法和图像相关法相结合的像移测量方法。利用坐标变换法得到初始像移速度,利用图像联合变换相关法对像移速度残差进行补偿。联合图像通过一个面阵CCD获得,该面阵CCD放置在相机焦平面上并与成像线阵TDI CCD平行,其输出的当前图像与参考图像合并构成联合图像进行二维空间联合变换相关运算,得到像移修正矢量。对该矢量分别在相机摆扫方向和载机飞行方向进行分解,从而得到摆扫像移和前向像移的修正量。仿真实验结果表明,在输入图像信噪比为4 dB时,像移测量误差在0.1 pixel以内。     

基于捷联惯导的航空重力测量滤波算法

在航空重力测量中通常需要采用卡尔曼滤波来对比力测量误差进行估计。针对航空重力测量只需要进行事后处理的特点，提出了两种新方法来提高比力测量的精度：一是最优卡尔曼滤波平滑算法，该算法的估计值是前向／反向卡尔曼滤波器的估计值的最优组合；二是迭代算法，由于在滤波模型中通常不对重力异常进行建模，而模型误差的存在会降低滤波精度，迭代算法的基本思想是将重力异常估计值代入新的导航解算，以此降低重力异常对滤波估计精度的影响。仿真分析表明所提出的方法能有效提高比力测量的精度，同时表明滤波估计是有偏的，因此还需要采用网格平差等方法来消除系统误差。     

机载惯导两套配置时的故障诊断研究

分析了飞机惯导采用两套配置时对不同故障的诊断方法,主要分为两类:一类是借助两个平台四个加速度计的输出,诊断陀螺慢漂移过大的问题,文中给出了两平台相对转角及其补偿的实现方法;另一类是借助大气数据系统和解析余度的方法,通过建立故障诊断模型,检测两个互不相关惯导系统的故障,文中给出了方案,指出了难点。     

The first example of anodic corrosion of Pd in aqueous ethylenediamine with formation of colloidal palladium

For the first time, corrosion of a Pd anode was detected during electrolysis in a weakly alkaline aqueous solution of ethylenediamine. The kinetics and mechanism of the process were investigated by the methods of cyclic voltammetry and gravimetry. Scanning electron microscopy showed corrosion of the Pd anode and deposition of Pd on the cathode surface, while the formation of colloidal Pd in the working solution was identified by transmission electron microscopy.     

Preliminary study on aerosol particle addition calibration method for on-line quantitative analysis of airborne radioactive particles with ICP-MS

An ambient aerosol concentration enrichment system coupled with ICP-MS for real-time monitoring of airborne radioactive particles is now under development. ICP-MS is very sensitive to sample introduction conditions, so it is necessary to develop an easy-use calibration method for on-line quantitative analysis in field application. In this paper, a calibration method using standard solution instead of monodisperse particles was established and validated preliminarily. First of all, four parameters for the method were determined experimentally, including: uptake flow rate and nebulisation efficiency of the Microconcentric nebuliser, nebulisation/transport efficiency of Aridus Desolvating Sample Introduction System, and Relative Sensitivity Factor between ¹⁵⁹?Tb and ¹⁷⁴?Yb. Then, monodisperse terbium nitrate particles were generated by a commercial Vibrating Orifice Aerosol Generator. Continuous aerosols of ytterbium nitrate droplets were nebulised from standard solution. They were mixed together, desolvated through the membrane dryer and introduced into ICP-MS for on-line analysis of terbium nitrate particles. The air sampled from nuclear environment was also introduced into ICP-MS to investigate the effect of flow rate on instrument responses. Finally, atom numbers of ¹⁵⁹?Tb in discrete terbium nitrate particles were determined using the calibration method and compared to the calculated value. Results show that when air flow rate increase from 10?mL?min^?1 to 100?mL?min^?1, the ratio of ¹⁵⁹?Tb ion count to ¹⁷⁴?Yb ion intensity keeps constant although instrument sensitivity decreases by a factor of 25. The relative standard deviation of ¹⁵⁹?Tb atom number measured is better than 18%. The discrepancy with the calculated value could be attributed to the over-estimation of atom number in the particles generated by VOAG because there was some liquid leakage in the VOAG.     

机载多框架光电吊舱两级隔振设计

在分析了目前常用的机载光电设备隔振系统的基础上,针对两轴四框架的结构特点,提出了一种基于多框架的两级隔振方案,克服了目前隔振系统体积、重量大,加工装配要求高的缺点。基于隔振模型的理论计算表明,根据系统给定的质量比和频率比,优化选择内外框架的刚度比,即选择合适的内外框隔振器可达到理想的隔振效果。通过某型光电吊舱的扫频实验...     

硫酸分离–火试金重量法测定碲化铜中的金和银

建立了用硫酸分离-火试金重量法测定碲化铜中的金和银含量的方法。用硫酸溶解碲化铜样品,过滤,除去铜和碲,得到含金、银的沉淀物,沉淀物经灰化、配料、高温熔融制得铅扣。将铅扣灰吹,得到金银合粒,用硝酸溶解分离金,用重量法测定金含量。用金银合粒的质量扣除金粒的质量和分金液、洗液中杂质的质量即为银含量。采用灰皿、残渣熔融法补正,或用含碲、铜物料做基体加入纯金、纯银同试样方法测定,根据金、银的回收率加以补正,从而得到试样中的碲含量。实验结果表明,浓硫酸的加入量为30 mL,残余量应不少于15 mL。火试金中硅酸度为1左右,试样进炉温度以900℃为宜。该方法金、银测定结果的相对标准偏差分别为0.33%~1.97%,0.28%~1.27%(n=9)。金的回收率为98.5%~100.2%,银的回收率为95.5%~101.4%。该法满足生产控制检测和贸易结算的要求。     

A highly sensitive and rapid biological probe enhanced real-time immuno-polymerase chain reaction for detecting 2,2′,4,4′-tetrabromodiphenyl ether in indoor airborne particles

Polybrominated diphenyl ethers (PBDEs) are bromine flame retardants that are widely distributed in the environment. In this study, 2,2′,4,4′-tetrabromodiphenyl ether (BDE-47) was used as a model PBDE compound. Based on the preparation of BDE-47 immunogen, coating antigen and polyclonal anti-BDE-47 antibody, a highly sensitive and rapid real-time immuno-polymerase chain reaction using biological probes (BP-IPCR) was developed to detect BDE-47 in indoor airborne particles. Several physiochemical factors that might influence the assay performance were optimised, such as OVA-BDE-47 and the biological probe concentration, primer concentration and annealing temperature. Under the optimal conditions, a standard curve was constructed with BDE-47 concentrations ranging from 5 pg L^?1 to 50 ng L^?1. The limit of detection was 1.32 pg L^?1. The BP-IPCR assay was highly selective, presenting low cross-reactivity values with BDE-47 analogues (below 5.26%). The recoveries of spiked samples were 92.6–107.9% and the coefficients of variation were 3.7–8.8%. The BP-IPCR data for the detection of BDE-47 in indoor airborne particles was consistent with gas chromatography-mass spectrometry findings (R² = 0.9849). This immunoassay is sensitive and reliable; it can be used for specific and sensitive batch detection of BDE-47 in environmental samples.     

Portable,Ambient PM2.5 Sensor for Human and/or Animal Exposure Studies

A field-portable device for logging PM_2.5 mass concentration data has been developed. The device combines the Arduino microprocessor with an SD card, a Sharp DN7C3CA006 optical dust monitor, and 10,000-mAh battery. The dust sensor uses a virtual impactor to size select particles <2.5 microns prior to illuminating the selected fraction with an LED. The LED is triggered by a circuit controlled with the Arduino. Nephelometric detection at 120° referenced to incidence is used. The voltage signal reported by the dust sensor is converted to PM_2.5 mass through calibration onboard the Arduino. Data points can be saved to the SD card as rapidly as 0.3?s, although averaging signals over 60?s produced more optimal detection limits. For a 60?s average, the PM_2.5 mass limit of detection was 9?µg?m^?3, indicating that the sensor will be useful for monitoring human exposure to fine particles. Portable exposure monitoring has been demonstrated with the sensing platform as several individuals carried the device with them during daily activities in Lubbock, TX and Atlanta, GA. For this group of test subjects, values of PM_2.5 exposure varied from 0 to 1000?µg?m^?3 during the sampling periods. It was observed that, by far, the highest levels of PM_2.5 occur during periods of cooking, or being near cooking operations. Other periods of high PM_2.5 occurred during ground transportation, use of personal care products, vacuuming, and visiting restrooms. When hourly personal exposure data were correlated with hourly average PM_2.5 for outdoor air for the Atlanta data set, a very weak correlation was found (R²?=?0.026). Only two out of eight sampling periods did the personal monitoring estimate of exposure agree with that predicted by outdoor monitoring to within 15%. Personal exposure was often affected by circumstantial, short-term, high exposure events that are difficult to model or predict effectively. The short-term exposure events generally cause true exposure to be higher than that predicted by using outdoor ambient PM_2.5 to generate estimates. This finding complicates interpretation of epidemiological studies that find links between ambient outdoor PM_2.5 levels and human health, while it buttresses the case for using personal ambient monitors.