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。     

两种单相桥式整流电路的比较研究

研究了单相桥式全控和不控两种整流电路,首先分析了单相桥式全控整流电路带反电动势电路的工作原理,然后分析了单相桥式不控整流电路带电容滤波的工作原理,最后在Matlab/Simulink中对两种电路进行了建模和仿真,通过对仿真结果的比较分析得出两种整流电路的负载电压都不会出现为零的情况。     

谐振直流环软开关电路的技术研究

阐述了应用于电压型逆变器的谐振直流环电路的工作原理,给出了其在MATLAB/Simulink中的仿真模型和仿真结果。通过仿真结果得出,谐振直流环电路可实现零电压开通,使开关损耗为零,但是电压u Cr谐振峰值很高,增加了对逆变器开关器件耐压的要求。     

基于几何平均数的风光互补发电系统MPPT控制策略研究

根据风光互补发电系统的输出特性,研究了一种基于几何平均数的最大功率跟踪控制策略。首先,利用风力和光伏发电系统MPPT分别计算出下一时刻的电压占空比,然后利用几何平均数求出两个占空比的平均值。其次,用所求平均值控制风光互补发电系统的输出电压,从而保证风光互补发电系统工作在最大功率点。最后,通过MATLAB/Simulink进行了仿真分析,其结果验证了控制策略的有效性。     

Large-scale evacuation network optimization: a bi-level control method with uncertain arterial demand

To improve the efficiency of large-scale evacuations, a network aggregation method and a bi-level optimization control method are proposed in this paper. The network aggregation method indicates the uncertain evacuation demand on the arterial sub-network and balances accuracy and efficiency by refining local road sub-networks. The bi-level optimization control method is developed to reconfigure the aggregated network from both supply and demand sides with contraflow and conflict elimination. The main purpose of this control method is to make the arterial sub-network to be served without congestion and interruption. Then, a corresponding bi-objective network flow model is presented in a static manner for an oversaturated network, and a Genetic Algorithm-based solution method is used to solve the evacuation problem. The numerical results from optimizing a city-scale evacuation network for a super typhoon justify the validity and usefulness of the network aggregation and optimization control methods.     

A new approach for improving the performance of freight train timetabling of a single-track railway system

A new approach for improving the performance of freight train timetabling for single-track railways is proposed. Using the idea of a fixed-block signaling system, we develop a matrix representation to express the occupation of inter- and intra-station tracks by trains illustrating the train blocking time diagram in its entirety. Train departure times, dwell times, and unnecessary stopping are adjusted to reduce average train travel time and single train travel time. Conflicts between successive stations and within stations are identified and solved. A fuzzy logic system is further used to adjust the range of train departure times and checks are made to determine whether dwell times and time intervals can be adjusted for passenger and freight trains at congested stations to minimize train waiting times. By combining manual scheduling expertise with the fuzzy inference method, timetable efficiency is significantly improved and becomes more flexible.     

沉管隧道预制管节顶推滑移系统摩擦试验研究

为了针对某大型沉管隧道预制管节的顶推滑移系统选择合适的摩擦面材料,文章对该顶推滑移系统的四组拟采用摩擦面材料(不锈钢板-PTFE、不锈钢板-NGE、普通钢板-PTFE、普通钢板-NGE)进行了静、动态摩擦系数测试。利用20 000 k N压剪试验机、采用双剪法进行了模拟测试试验。试验结果表明:(1)四组被测试摩擦面的摩擦系数中,不锈钢板与PTFE板的最小,普通钢板与PTFE板的最大;(2)锂基润滑油和水对减小不锈钢板与PTFE板之间的静、动摩擦系数效果都十分明显,但锂基润滑油对摩擦系数的减小效果会随着油层被挤压变薄而逐渐减弱。该试验结果为该顶推滑移系统的摩擦面材料选择以及摩擦面润滑处理措施提供了重要参考依据。     

浅析内河航道节能现状及技术应用

内河航道在施工建设和运营管理期间会产生大量的能源消耗,抓好航道的节能减排对发展绿色交通具有重要作用。本文总结概况了目前我国内河航道节能减排现状及采用的关键技术,相关技术的推广将引导交通运输行业优化用能结构、促进产业协调发展。     

Tradeoffs among free-flow speed, capacity, cost, and environmental footprint in highway design

This paper investigates differentiated design standards as a source of capacity additions that are more affordable and have smaller aesthetic and environmental impacts than modern expressways. We consider several tradeoffs, including narrow versus wide lanes and shoulders on an expressway of a given total width, and high-speed expressway versus lower-speed arterial. We quantify the situations in which off-peak traffic is sufficiently great to make it worthwhile to spend more on construction, or to give up some capacity, in order to provide very high off-peak speeds even if peak speeds are limited by congestion. We also consider the implications of differing accident rates. The results support expanding the range of highway designs that are considered when adding capacity to ameliorate urban road congestion.     

Vulnerability analysis for large-scale and congested road networks with demand uncertainty

To assess the vulnerability of congested road networks, the commonly used full network scan approach is to evaluate all possible scenarios of link closure using a form of traffic assignment. This approach can be computationally burdensome and may not be viable for identifying the most critical links in large-scale networks. In this study, an “impact area” vulnerability analysis approach is proposed to evaluate the consequences of a link closure within its impact area instead of the whole network. The proposed approach can significantly reduce the search space for determining the most critical links in large-scale networks. In addition, a new vulnerability index is introduced to examine properly the consequences of a link closure. The effects of demand uncertainty and heterogeneous travellers’ risk-taking behaviour are explicitly considered. Numerical results for two different road networks show that in practice the proposed approach is more efficient than traditional full scan approach for identifying the same set of critical links. Numerical results also demonstrate that both stochastic demand and travellers’ risk-taking behaviour have significant impacts on network vulnerability analysis, especially under high network congestion and large demand variations. Ignoring their impacts can underestimate the consequences of link closures and misidentify the most critical links.