滑动标准差在轨道几何区段状态评价中的应用

轨道质量指数TQI为左高低、右高低、左轨向、右轨向、轨距、水平、三角坑各单项标准差的和。各单项项目的标准差直接体现了此项几何不平顺的输入能量,表现为此项几何不平顺的离散程度,当它的值越大时,表明轨道状态较差,对车辆的激励能量大。针对目前分段标准差计算方式不能完全反映轨道质量状态最差的区段、评判结果存在离散性等缺点,提出利用滑动标准差计算方式对轨道区段状态进行评价的方法。通过研究确定合适的计算长度200 m和移动步长20 m,并利用京沪线9~10月份检测数据进行试用,结果表明:滑动标准差不仅能够找到轨道质量状态最差的区段,还能找出更多超出管理值标准的区段,且在识别不良区段的起止位置(长度)和评判结果一致性方面,也明显好于目前的分段标准差计算方式。     

Empirical approaches to combining revealed and stated preference data: Some recent developments with reference to urban mode choice

This paper replaces the nested logit ‘trick’ used in estimation of a modal choice model, when stated preference (SP) and revealed preference (RP) data are pooled, with an error component mixed logit model that can (i) relax the IID condition attached to subsets of alternatives in nested logit models, (ii) accommodate correlated observations, and (iii) reveal the relevant scale parameter for subsets of alternatives. Such a model can also incorporate state dependence between data types and preference heterogeneity on observed attributes. An example of choice among bus, train and car modes illustrates the difference in empirical evidence, especially elasticity outputs.     

柴油机工况的计算机诊断与分析

本文通过对柴油机工况计算机诊断系统结构原理的研究，并以实例对柴油机气缸燃烧状态的参数及其工况曲线变化情况进行详细分析，指出了该系统在柴油机工况监护中的作用和特点，使船舶轮机管理人员能够重视柴油机工况监视并运用计算机辅助手段进行分析判断，制订相应的维修对策，从而提高柴油机的使用效率和寿命     

Suspension system state estimation using adaptive Kalman filtering based on road classification

This paper provides a new method to solve the problem of suspension system state estimation using a Kalman Filter (KF) under various road conditions. Due to the fact that practical road conditions are complex and uncertain, the influence of the system process noise variance and measurement noise covariance on the estimation accuracy of the KF is first analysed. To accurately estimate the road condition, a new road classification method through the vertical acceleration of sprung mass is proposed, and different road process variances are obtained to tune the system’s variance for the application of the KF. Then, road classification and KF are combined to form an Adaptive Kalman Filter (AKF) that takes into account the relationship of different road process noise variances and measurement noise covariances under various road conditions. Simulation results show that the proposed AKF algorithm can obtain a high accuracy of state estimation for a suspension system under varying International Standards Organisation road excitation levels.     

一种具有鲁棒性的海浪干扰滤波器

  目的  潜艇在复杂海况下进行水面航行时,为实现低噪操舵控制,  方法  采用潜艇水平面线性运动模型,并利用基于双幂次趋近律的滑模控制对参数变化和外部干扰不敏感、响应速度快、容易实现等优点,设计航向控制器。针对海浪干扰问题,利用非线性扩张状态观测器（NESO）设计海浪滤波器,用以补偿系统外部干扰。  结果  理论推导结果证明了航向滑模控制器的稳定性,并通过Matlab仿真结果验证了其良好的滤波效果。  结论  研究结果表明,该航向滑模控制器在不同航速、不同海况、不同浪向下均可实现低噪、快速、高精度的航向控制性能。     

国家助学贷款资产证券化制度设计研究

在2004年的国家助学贷款新政策背景下,尽管出现了许多利好方面,仍存在一些尚未解决的问题。而完整的国家助学贷款市场应当是由一级市场和二级市场组成的一个有序开放式的市场体系：一级市场是创造国家助学贷款形成借贷关系的市场,二级市场是创造国家助学贷款债权转让的市场。资产证券化是我国目前解决问题、完善市场、金融创新的重要选择,这项选择不仅很有必要,且基本具备了可行条件。当然,我国如果进行国家助学贷款资产证券化,还需要建立良好的征信制度和其它保障制度。     

燃料电池船舶复合供能系统控制策略设计与仿真

针对燃料电池船舶复合供能系统中的燃料电池功率波动问题和储能单元电池荷电状态（State of Charge,SOC）极端分化问题,依据系统拓扑结构,提出基于负载功率频率分解与模糊逻辑控制法相结合的复合供能系统控制策略设计。采用实例仿真验证该设计的优势。结果表明,该设计可有效保持燃料电池输出功率平滑,对储能单元SOC具有良好的均衡控制效果。     

一种基于加速度及轮速信息的参考车速估计方法

以两轮驱动轿车为研究对象,提出了一种基于加速度及轮速信息的参考车速估计方法。以Kalman滤波为基本算法,结合试验分析,通过估计系统噪声特征和修正量测方程,改进了算法对加速度量测信号静态偏差变化的跟踪能力,提高了参考车速的估计精度。利用该方法估计参考车速具有不依赖大量试验、计算量小的特点,适于实车应用。     

桥梁健康状况检测技术研究现状

对桥梁健康状况检测的重要性,桥梁健康状况检测的主要背景作了一定的概述。并对目前比较常用的几种桥梁健康状况检测技术如红外热像仪检测技术、光纤传感器检测技术、声探测技术、电磁波探测技术作了综合的介绍。     

Coloured Petri net-based traffic collision avoidance system encounter model for the analysis of potential induced collisions

The Traffic Alert and Collision Avoidance System (TCAS) is a world-wide accepted last-resort means of reducing the probability and frequency of mid-air collisions between aircraft. Unfortunately, it is widely known that in congested airspace, the use of the TCAS may actually lead to induced collisions. Therefore, further research regarding TCAS logic is required. In this paper, an encounter model is formalised to identify all of the potential collision scenarios that can be induced by a resolution advisory that was generated previously by the TCAS without considering the downstream consequences in the surrounding traffic. The existing encounter models focus on checking and validating the potential collisions between trajectories of a specific scenario. In contrast, the innovative approach described in this paper concentrates on quantitative analysis of the different induced collision scenarios that could be reached for a given initial trajectory and a rough specification of the surrounding traffic. This approach provides valuable information at the operational level. Furthermore, the proposed encounter model can be used as a test-bed to evaluate future TCAS logic changes to mitigate potential induced collisions in hot spot volumes. In addition, the encounter model is described by means of the coloured Petri net (CPN) formalism. The resulting state space provides a deep understanding of the cause-and-effect relationship that each TCAS action proposed to avoid an actual collision with a potential new collision in the surrounding traffic. Quantitative simulation results are conducted to validate the proposed encounter model, and the resulting collision scenarios are summarised as valuable information for future Air Traffic Management (ATM) systems.