Semi-supervised gear fault diagnosis using raw vibration signal based on deep learning

In aerospace industry, gears are the most common parts of a mechanical transmission system. Gear pitting faults could cause the transmission system to crash and give rise to safety disaster. It is always a challenging problem to diagnose the gear pitting condition directly through the raw signal of vibration. In this paper, a novel method named augmented deep sparse autoencoder (ADSAE) is proposed. The method can be used to diagnose the gear pitting fault with relatively few raw vibration signal data. This method is mainly based on the theory of pitting fault diagnosis and creatively combines with both data augmentation ideology and the deep sparse autoencoder algorithm for the fault diagnosis of gear wear. The effectiveness of the proposed method is validated by experiments of six types of gear pitting conditions. The results show that the ADSAE method can effectively increase the network generalization ability and robustness with very high accuracy. This method can effectively diagnose different gear pitting conditions and show the obvious trend according to the severity of gear wear faults. The results obtained by the ADSAE method proposed in this paper are compared with those obtained by other common deep learning methods. This paper provides an important insight into the field of gear fault diagnosis based on deep learning and has a potential practical application value.     

深空探测器推进系统

以技术较成效的月球探测器、火星探测器推进系统为重点，介绍了国外深空探测活动的情况。简述了深空探测对推进系统的需求、我国航天器液体推进技术的现状。认为我国的推进技术经一些适应性发展，即可满足深空探测的需求，并且设想了我国近期较为可行的深空探测器推进系统方案。     

离散事件动态系统的GSMP模型及扰动分析

对离散事件动态系统（ＤＥＤＳ）的仿真过程建立了包含中断事件集和驱动事件集的广义半马尔可夫过程（ＧＳＭＰ）模型，对参数的无穷小扰动所引起的系统状态转移时刻进行了扰动分析，最后，讨论了扰动分析所需要的可变换条件和样本性能函数的关系，并提出值得进一步研究的问题。     

飞机最快上升转弯轨迹的计算

70年代初,Miele A等人提出SGRA方法用于优化飞行轨迹计算。但方法存在时间加权系数难于确定、长时间的飞行轨迹计算积分精度不易控制及要计算数字微分等不足。对此提出一改进梯度方法,并计算了某型战斗机从亚音速三维转弯升高到超音速的最短时间飞行轨迹。结果表明,本方法稳定有效,为解决飞机最快机动轨迹的优,乜提供了一种行之有效的手段。     

钛合金板材激光弯曲成形的研究

 对常温下钛合金板材进行了激光弯曲成形研究。分析了激光功率、扫描速度、光斑大小对板材弯曲变形的影响,获得理想工艺参数范围为:功率1 .0～1 .2 k W、扫描速度2～3 m/min、光斑直径6～7mm。同时分析了板材厚度、宽度及扫描次数对材料弯曲变形的影响,为钛合金板材弯曲成形提供了一种新途径。     

新古典经济增长理论和二元经济模型的分析与借鉴

本文主要介绍了发展经济学中新古典经济增长理论和二元经济理论，并分析了它们对我国经济发展的适用性问题。据此，对我国的经济发展提出了相关的政策建议。     

中国工业化道路的特征与选择

工业化是各国经济发展中不可逾越的阶段，通过回顾世界各国不同的工业化道路，归纳了世界主要工业化道路的特征和我国工业化道路的特点，分析了在贸易投资自由化、一体化条件下，我国的工业化进程处于两难境地的现状与原因，进而提出我国工业化应选择的产业和采取的产业政策。     

新自由主义的社会福利思想

作为当代社会一个重要的理论范式，新自由主义是在与凯恩斯主义的论战中逐步发展起来的。在政治经济领域内，它拒绝国家的干预和控制；在社会福利领域内，它反对福利思想的传播和福利国家的构建，主张通过自由市场机制和个人的自我负责来取代长期由国家提供的社会福利，借以减轻国家的负担，激发个人的进取精神。在新自由主义思想的指引下，英国和美国分别实施了社会福利改革，短期内在减少社会福利开支的同时，也导致了社会福利水平的下降，从长期看，新自由主义的社会福利政策存在着缺陷。     

Expectations for Infrared Spectroscopy of 9P/Tempel 1 from Deep Impact

The science payload on the Deep Impact mission includes a 1.05–4.8 μm infrared spectrometer with a spectral resolution ranging from R∼200–900. The Deep Impact IR spectrometer was designed to optimize, within engineering and cost constraints, observations of the dust, gas, and nucleus of 9P/Tempel 1. The wavelength range includes absorption and emission features from ices, silicates, organics, and many gases that are known to be, or anticipated to be, present on comets. The expected data will provide measurements at previously unseen spatial resolution before, during, and after our cratering experiment at the comet 9P/Tempel 1. This article explores the unique aspects of the Deep Impact IR spectrometer experiment, presents a range of expectations for spectral data of 9P/Tempel 1, and summarizes the specific science objectives at each phase of the mission.     

DME Interference mitigation for L-DACS1 based on system identification and sparse representation

L-band digital aeronautical communication system 1 (L-DACS1) is a promising candi-date data-link for future air-ground communication, but it is severely interfered by the pulse pairs (PPs) generated by distance measure equipment. A novel PP mitigation approach is proposed in this paper. Firstly, a deformed PP detection (DPPD) method that combines a filter bank, correlation detection, and rescanning is proposed to detect the deformed PPs (DPPs) which are caused by mul-tiple filters in the receiver. Secondly, a finite impulse response (FIR) model is used to approximate the overall characteristic of filters, and then the waveform of DPP can be acquired by the original waveform of PP and the FIR model. Finally, sparse representation is used to estimate the position and amplitude of each DPP, and then reconstruct each DPP. The reconstructed DPPs will be sub-tracted from the contaminated signal to mitigate interference. Numerical experiments show that the bit error rate performance of our approach is about 5 dB better than that of recent works and is closer to interference-free environment.