探析新《道路交通安全法》中法律归责原则及完善问题

2004年5月1日开始实施的《中华人民共和国道路交通安全法》针对机动车与机动车之间、机动车与非机动车驾驶人或行人之间的交通事故，分别确立了过错责任和无过错责任两种不同的归责原则。本文拟运用侵权行为法归责原则理论，通过国内外有关法律之比较分析及我国新旧交通安全法规对道路交通事故责任承担问题展开讨论，以求抛砖引玉。     

大力神—4改进型固体助推器爆炸原因分析及启示

介绍了大力神-4改进型固体助推器的研制情况、结构特点及主要性能,阐述了地面试验失败的原因及改进措施,并联系卡斯托Ⅱ研制中出现的类似失败情况,就发动机内流场气流的相互作用及药柱变形对发动机工作的影响进行了扼要分析,并提出了值得重视的几点启示。     

旋流器型式对空气雾化喷嘴雾化特性影响规律

采用试验与数值计算相结合方法研究了不同旋流器型式对双旋流式空气雾化喷嘴喷雾特性的影响规律.采用粒子图像测速(PIV)测量了不同空气雾化喷嘴下游流场结构,并且采用高速摄影仪和激光粒度分析仪,对不同空气流量和燃油流量下的双级旋流空气雾化喷嘴的油雾场形态、索太尔平均直径(SMD)、Rosin-Rammler分布进行试验研究;...     

火箭发动机基于神经网络非线性辨识的故障检测

应用神经网络方法，提出了一种液体火箭发动机故障实时检测算法。神经网络采用非线性辨识技术贴近发动机的工作过程，并输出包合发动机故障信息的辨识误差信号。若辨识误差变大超过一定阈值，检测逻辑就预报发动机故障。在发动机启动阶段离线训练神经网络，在发动机稳态过程可以采用离线或在线学习算法。实验研究表明神经网络可以成功地应用于大型泵压式液体火箭发动机的故障检测。     

A new bearing fault diagnosis method based on modified convolutional neural networks

Fault diagnosis is vital in manufacturing system. However, the first step of the traditional fault diagnosis method is to process the signal, extract the features and then put the features into a selected classifier for classification. The process of feature extraction depends on the experimenters’ experience, and the classification rate of the shallow diagnostic model does not achieve satisfactory results. In view of these problems, this paper proposes a method of converting raw signals into two-dimensional images. This method can extract the features of the converted two-dimensional images and eliminate the impact of expert’s experience on the feature extraction process. And it follows by proposing an intelligent diagnosis algorithm based on Convolution Neural Network (CNN), which can automatically accomplish the process of the feature extraction and fault diagnosis. The effect of this method is verified by bearing data. The influence of different sample sizes and different load conditions on the diagnostic capability of this method is analyzed. The results show that the proposed method is effective and can meet the timeliness requirements of fault diagnosis.     

Investigating the Coronal Mass Ejections associated with DH type-II radio bursts and solar flares during the ascending phase of the solar cycle 24

We studied a set of 74 CMEs, with shedding the light on the halo-CMEs (HCMEs), that are associated with decametric – hectometric (DH) type-II radio bursts (1–16?MHz) and solar flares during the period 2008–2014. The events were classified into 3 groups (disk, intermediate, and limb events) based on their longitudinal distribution.We found that the events are mostly distributed around 15.32° and 15.97° at the northern and southern solar hemispheres, respectively. We found that there is a clear dependence between the longitude and the CME’s width, speed, acceleration, mass, and kinetic energy. For the CMEs’ widths, most of the events were HCMEs (～62%), while the partial HCMEs comprised ～35% and the rest of events were CMEs with widths less than 120°. For the CMEs’ speeds, masses, and kinetic energies, the mean values showed a direct proportionality with the longitude, in which the limb events had the highest speeds, the largest masses, and the highest kinetic energies. The mean peak flux of the solar flares for different longitudes was comparable, but the disk flares were more energetic. The intermediate flares were considered as gradual flares since they tended to last longer, while the limb flares were considered as impulsive flares since they tended to last shorter.A weak correlation (R?=?0.32) between the kinetic energy of the CMEs and the duration of the associated flares has been noticed, while there was a good correlation (R?=?0.76) between the kinetic energy of the CMEs and the peak flux of the associated flares. We found a fair correlation (R?=?0.58) between the kinetic energy of the CMEs and the duration of the associated DH type-II radio bursts.     

激光动态液位测量技术研究

如今,运载火箭大量使用液氧、煤油等液体推进剂,其液位测量技术主要有浮子式、激光式、电容式、雷达式等。介绍并实现了一种激光液位测量系统,该系统体积小、功耗低,可适应多种测量环境,能满足航天燃料液位测量高精度、高动态、连续稳定测量的要求。系统利用相位式激光测距技术,通过测量激光回波信号的相位延迟,计算激光光程从而得到距离数据并通过客户端进行直观展示和数据存储。系统最大测量距离可达100 m,精度为±1 mm。该系统为非接触测量,耐腐蚀,通过加入反射板可实现透明、非透明液体测量。     

Neural network-based fault diagnosis for spacecraft with single-gimbal control moment gyros

This paper proposes a neural network-based fault diagnosis scheme to address the problem of fault isolation and estimation for the Single-Gimbal Control Moment Gyroscopes(SGCMGs) of spacecraft in a periodic orbit. To this end, a disturbance observer based on neural network is developed for active anti-disturbance, so as to improve the accuracy of fault diagnosis.The periodic disturbance on orbit can be decoupled with fault by resorting to the fitting and memory ability of neural network. Subsequ...     

SAR performance-based fault diagnosis for electro-hydraulic control system: A novel FDI framework for closed-loop system

Model-based fault diagnosis serves as an efficient and powerful technique in addressing fault detection and isolation (FDI) issues for control systems. However, the standard methods and their modifications still encounter some difficulties in algorithm design and application for complex higher-order systems. To avoid these difficulties, a novel fault diagnosis framework based on multiple performance indicators of closed-loop control system is proposed. Under this framework, a so-called performance residual vector is constructed to measure the differences between the real system and the nominal model in terms of system stability, accuracy, and rapidity (SAR) respectively. The criteria for quantification, normalization of the SAR residuals and the explicit mappings between the thresholds and the required performance are given. FDI can be easily achieved simultaneously by monitoring the normalized residual vector length and direction in the SAR performance residual space. A case study on electro-hydraulic servo control system of turbofan engine is adopted to demonstrate the effectiveness of the proposed method.     

基于故障树和神经网络模型的航天器智能诊断研究

提出基于故障树和神经网络模型的诊断方法,提出面向故障树的基于框架和广义规则的知识表示方法及相应的确定性和可能性推理策略,对于可能性推理的结果,通过基于神经网络模型的学习诊断来进一步确定其状态。在Ｗｉｎｄｏｗｓ环境下,用Ｂｏｒｌａｎｄ Ｃ＋＋实现了一个原型系统。通过对“实践４号”卫星能源系统故障模拟实验台的诊断验证了系统的有效性。