国产数采卡在LabVIEW下的几种驱动方法

介绍了在虚拟仪器软件开发平台LabVIEW下,利用国产数据采集卡进行数据采集时常用的几种驱动方法的应用与比较,并在柴油机运行状态监测系统中进行了实际应用。     

直线电机轮轨交通系统牵引坡度及启/制动距离计算研究

直线电机轮轨交通是一种采用直线感应电机LIM牵引的新型城市轨道交通形式.在分析直线电机轮轨系统列车牵引和制动特性的基础上,从列车受力分析的角度,建立直线电机线路参数分析的模型;利用该模型,计算得到直线电机轮轨线路的安全牵引坡度及启/制动距离.     

基于HHT和BP神经网络的船舶电力系统故障定位

针对船舶电力系统故障难以精确定位的情况,将Hilbert-Huang变换(HHT)和BP神经网络应用于船舶电力系统故障节点定位。首先,采集各节点电流信号,经过EMD分解得到若干IMF分量,对第一个IMF分量进行Hilbert变换得到其瞬时振幅向量。然后,将各节点的瞬时振幅向量之和作为电流信号的特征量输入到带有动量因子的BP神经网络中进行训练,利用训练好的神经网络进行故障节点定位。最后,通过仿真实验验证了所提方法的有效性。     

故障树和神经网络在遥测装备故障中的研究

论文通过分析遥测装备的故障特性及其原因,结合对遥测装备变频单元故障树的定性和定量分析。构建了基于故障树的人工神经网络故障诊断断系统,根据系统编写了相应的程序以实现功能。通过实例验证了方法的实用性和有效性,增强了遥测设备的智能故障诊断能力。     

大断面浅埋偏压隧道CRD法施工工序研究

文章以良村隧道CRD法施工为工程背景,布设了变形监测点及内力测试元件,分析了CRD法施工隧道围岩变形情况及结构内力特征,并对CRD法施工隧道在不同开挖顺序下的开挖过程进行了数值模拟,分析比较了不同开挖顺序时的围岩位移、应力变化情况。结果表明:CRD法对各分部施工工序影响较大,且各分部对拱顶下沉的影响程度从大至小依次为1部、2部、3部和4部;隧道内侧围岩压力大于外侧,钢支撑内力均为压应力,且拱腰位置轴力大于其它部位。比较隧道开挖变形的差异以及结构的受力特点,结合数值分析结果,得出了山体外侧先开挖方案无论在围岩变形还是隧道结构受力方面相比于山体外侧后开挖都较小,安全系数相对较高。因此,合理的施工工序应该是先进行山体外侧开挖并施作初期支护,然后再在山体内侧开挖施工。     

替代燃料的燃料消耗量计算方法

文章介绍了碳平衡原理的两个方面,燃烧和稀释前后的碳质量不变。介绍了完全燃烧后的CO2理论浓度和稀释倍数以及用稀释倍数校正稀释排气的方法,介绍了由碳质量分数推导替代燃料碳质量分数和当量分子式的方法,最后推导得出了可用于替代燃料的燃料消耗量计算公式。     

On a link-based day-to-day traffic assignment model

In this paper, we perform a rigorous analysis on a link-based day-to-day traffic assignment model recently proposed in He et al. (2010). Several properties, including the invariance set and the constrained stability, of this dynamical process are established. An extension of the model to the asymmetric case is investigated and the stability result is also established under slightly more restrictive assumptions. Numerical experiments are conducted to demonstrate the findings.     

An adaptive information fusion model to predict the short-term link travel time distribution in dynamic traffic networks

As intelligent transportation systems (ITS) approach the realm of widespread deployment, there is an increasing need to robustly capture the variability of link travel time in real-time to generate reliable predictions of real-time traffic conditions. This study proposes an adaptive information fusion model to predict the short-term link travel time distribution by iteratively combining past information on link travel time on the current day with the real-time link travel time information available at discrete time points. The past link travel time information is represented as a discrete distribution. The real-time link travel time is represented as a range, and is characterized using information quality in terms of information accuracy and time delay. A nonlinear programming formulation is used to specify the adaptive information fusion model to update the short-term link travel time distribution by focusing on information quality. The model adapts good information by weighing it higher while shielding the effects of bad information by reducing its weight. Numerical experiments suggest that the proposed model adequately represents the short-term link travel time distribution in terms of accuracy and robustness, while ensuring consistency with ambient traffic flow conditions. Further, they illustrate that the mean of a representative short-term travel time distribution is not necessarily a good tracking indicator of the actual (ground truth) time-dependent travel time on that link. Parametric sensitivity analysis illustrates that information accuracy significantly influences the model, and dominates the effects of time delay and the consistency constraint parameter. The proposed information fusion model bridges key methodological gaps in the ITS deployment context related to information fusion and the need for short-term travel time distributions.     

Developing an integrated scobit-based activity participation and time allocation model to explore influence of childcare on women’s time use behaviour

Focusing on the influence of childcare on women’s time use behaviour, this paper develops an integrated model of activity participation and time allocation, where the former is represented based on a scobit model and the latter based on a multi-linear utility function under the utility-maximizing principle. The integration of the scobit model with the time allocation model is done by applying Lee’s transformation. Especially, the scobit model is adopted to relax the assumption, made in the Logit or Probit model, that individuals having indifferent preferences over participation and non-participation are most sensitive to changes in explanatory variables. Using a large-scale time use data (66,839 persons) collected in Japan, the effectiveness of the proposed integrated model is empirically confirmed. It is revealed that the probabilities of participating in compulsory-contracted activities and discretionary activities with the highest sensitivity to changes in explanatory variables are 65 and 81%, respectively. Variances of social childcare variables explain about half of the total variance of the time use for discretionary activities; however, for compulsory-contracted activities, social childcare variables explain only less than 1% of the total variance of activity participation and less than 10% of total variable of time allocation.     

西安市轨道交通Ⅱ号线B标岩土工程特征

地铁设计需要多种岩土参数,这些参数可通过室内试验及现场原位测试获得。文章以西安市城市快速轨道交通Ⅱ号线B标岩土工程勘察为例,不仅总结了B标岩土的一些总体工程特征及有关参数的统计数据,为结构设计、降水设计提供了必要的依据;而且在方法上也可为西安地铁岩土工程勘察提供借鉴。同时,这些岩土工程特征及岩土参数,还可为西安城区同类或相似场地岩土工程设计提供参考,也可为丰富西安市城市环境地质内容提供补充资料。