基于HOSVD局部重组的利噪抑噪经验模式分解及应用

及时准确地识别航天机构萌生和发展的损伤故障特征信息,可为机构故障诊断评估、科学任务调整以及未来在轨维修提供科学决策依据。集成噪声重构经验模式分解(ENEMD)及其衍生方法都是基于噪声利用机制以原信号中估计噪声改善模式混淆并实现信号降噪。然而,该方法中奇异值拐点难以获取、阈值处理中噪声不连续等带来的噪声估计偏差,将降低微弱特征提取准确性。为此,提出一种基于高阶奇异值分解(HOSVD)局部重组的噪声估计技术。研究基于滑动窗截断和Hankel矩阵相结合的张量构建,然后将奇异值曲率谱上的最大峰值点作为合理奇异阶,最后根据选取的奇异阶重构张量分解模型得到所需的估计噪声分量。在此基础上,将HOSVD局部重组引入ENEMD方法中,提出利噪抑噪经验模式分解方法。该方法可进一步提高微弱噪声估计精确度,实现对航天机构损伤微弱特征的增强提取。仿真分析和某航天轴承试验案例验证了该方法在损伤微弱特征提取和识别上具有实用性与有效性。     

用AM300型函数信号发生器建立相位测量标准装置

提出了一种建立相位测量标准装置的方法。该标准装置以AM300型函数信号发生器为主标准器,相位计、示波器、失真度测量仪、数字电压表为配套设备。对AM300型函数信号发生器的量值指标进行了测试和实验,包括：相位增量误差测试、相位绝对零度误差测试、60°幅相误差测试、测量的重复性实验和长期稳定性实验。结果表明：该标准装置测试结果准确,性能稳定可靠,具有造价低、实用性强的特点。     

A New Probabilistic Transformation in Generalized Power Space

The mapping from the belief to the probability domain is a controversial issue, whose original purpose is to make (hard) decision, but for contrariwise to erroneous widespread idea/claim, this is not the only interest for using such mappings nowadays. Actually the probabilistic transformations of belief mass assignments are very useful in modern multitarget multisensor tracking systems where one deals with soft decisions, especially when precise belief structures are not always available due to the existence of uncertainty in human being's subjective judgments. Therefore, a new probabilistic transformation of interval-valued belief structure is put forward in the generalized power space, in order to build a subjective probability measure from any basic belief assignment defined on any model of the frame of discernment. Several examples are given to show how the new transformation works and we compare it to the main existing transformations proposed in the literature so far. Results are provided to illustrate the rationality and efficiency of this new proposed method making the decision problem simpler.     

大明宫与唐文化

大明宫为唐朝"三大内"(太极宫、大明宫、兴庆宫)中规模最大、气势最恢弘、使用最长久的一组宫殿群,见证了唐朝的兴衰,大明宫的建筑及曾存在其间的音乐、舞蹈、书画等都是大唐文化的精髓,如果说都城长安是唐王朝的政治文化中心的话,那么,大明宫可以说是唐王朝政治文化高度集聚的中心点。大明宫体现了唐文化气势恢宏、博大开放、兼容并蓄、自由洒脱等特点,该遗址外显和内隐的历史文化遗产对我们今人来说具有丰富的历史、文化、经济及教育价值,对其进行合理的开发意义匪浅。     

服务型制造模式下民机企业价值网络研究

基于航空制造行业背景,对服务型制造模式下民机企业价值网络展开探讨。首先分析服务型制造模式的价值源泉,重点讨论其价值共创机制,引出了价值共创的条件——价值网络;其次,分析服务型制造企业由价值链向价值网络管理的转变过程,提出服务型制造价值网络概念,并总结出服务型制造企业的价值网络特性及本质;最后,以航空制造业为例,分析其价...     

大容量光通信系统中规则LDPC码的研究

为研究规则LDPC码在大容量光通信系统的性能,对不同列重和不同迭代次数的短规则LDPC码在大容量光信道中的误码率性能进行了数据仿真。发现确定码长的规则LDPC码,存在最优的列重,使得在相同的冗余度时,最大程度地改善大容量光通信系统的性能;此外,误码率随迭代次数的增加具有收敛的特性,LDPC码译码时应合理地选取迭代次数。     

基于可编程GPU的多源图像融合

针对可编程GPU模型,提出了基于CPU-GPU的并行边缘强度加权融合算法,利用CPU和GPU协同工作模式达到图像融合的目的,其中CPU负责串行任务,而GPU负责并行任务。实验结果表明,并行边缘强度加权融合算法得到的融合图像有着较好的视觉效果,信息熵和QAB/F这两个评价指标均高于文中对比算法的相应指标;从运行时间上分析,基于CPU-GPU的融合方法所需要的运行时间远低于基于CPU方法所需要的运行时间,并且图像尺寸越大,加速比越高。     

民用发动机状态混沌预测算法

首先应用Haar小波和DB16小波对航空发动机排气温度的原始数据序列进行去噪处理,并且证明了处理后的数据序列具有混沌特征.其次应用混沌理论建立发动机状态预测算法,实现对排气温度的预测.通过检验排气温度预测值是否超过所规定的红线,以及该曲线是否平稳,从而进行发动机的健康状态排查.作为验证实例,使用一组某机型发动机实际飞行...     

基于CATIA二次开发的飞机质量特性批量提取方法

质量特性数据在飞机研制过程中经常需要更新。通常情况下,质量特性的统计工作往往需要通过大量的人力来完成。分析了探求飞机质量特性批量提取方法的必要性及对此方法的要求,对实现批量提取的两种策略进行了比较,给出了实现批量提取的若干关键代码。通过对CATIA的二次开发,实现了飞机零件质量特性的批量提取及数据表的自动填写,减少重复...     

Evaluation and analysis on positioning performance of BDS/QZSS satellite navigation systems in Asian-Pacific region

By using the observation data and products of precise obit and clock offset from Multi-GNSS Experiment (MGEX) of the International GNSS Service (IGS) and GNSS Research Centre, Curtin University in this paper, the positioning performance of BDS/QZSS satellite navigation system has been analyzed and evaluated in aspects of the quantity of visible satellites, DOP value, multipath effect, signal-to-noise ratio, static PPP and kinematic PPP. The analysis results show that compared to BDS single system when the cutoff angle are 30°and 40°, the DOP value of BDS/QZSS combined system has decreased above 20%, and the quantity of visible satellites increased about 16–30% respectively, because of the improved spatial geometric configuration. The magnitude of satellite multipath effect of BDS system shows the trend of MEO?>?IGSO?>?GEO, which is consistent with that of QZSS satellite system, as the constellation structure of the two systems is similar. The variation tendencies of signal-to-noise ratio with respect to elevation angle of the two systems are almost the same at all frequencies, showing that at the same elevation angle the signal-to-noise ratio of MEO satellites is higher than that of IGSO satellites, as the higher obit is the lower transmitting power is obtained. For having a specially designed obit, the variation of signal-to-noise ratio of BDS system is more stable. However, the magnitude of signal-to-noise ratio of QZSS system appears the trend of frequency 3?>?frequency 2?>?frequency 1. The static PPP performance of the BDS/QZSS combination system has been improved more significantly than the BDS single system in E, N and U directions. When the cutoff angle are at 7°, 15° and 30°, the PPP accuracy is increased about 25–34% in U direction, 10–13% and 23–34% in E and N directions respectively. When the elevation angle is large (40°), compared to BDS single system at lower elevation angles (7° and 15°) the PPP accuracy of the BDS/QZSS combination system is improved above 30% in U direction. In kinematic PPP performance, compared to BDS single system, the accuracy, availability and reliability of the BDS/QZSS combination system has been improved too, especially at large elevation angles (30° and 40°), the kinematic PPP accuracy in E and U directions has been improved about 10–50%, and above 50% in U direction. It can be concluded that the combination with QZSS system can improve the positioning accuracy, reliability and stability of BDS system. In the future, with the improvement of the satellite construction of Japan’s QZSS system and the global networking of China’s BDS satellites, the QZSS satellites will contribute greatly to improve the positioning accuracy, reliability, availability and stability of GNSS systems in areas such as cities, mountains, densely-packed buildings and severely covered areas in Asian-Pacific region.