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2018 International Conference on Intelligent Rail Transportation (ICIRT)最新文献

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Towards Risk Prediction: Runtime Verification of Train Control Systems for Overspeed Protection 面向风险预测:列车超速保护控制系统的运行验证
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641615
Qian Hu, Ming Chai, Haifeng Wang
{"title":"Towards Risk Prediction: Runtime Verification of Train Control Systems for Overspeed Protection","authors":"Qian Hu, Ming Chai, Haifeng Wang","doi":"10.1109/ICIRT.2018.8641615","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641615","url":null,"abstract":"In railways, overspeed protection is the central function of Automatic Train Protection (ATP). Any failure of this function can cause serious people injury or property loss. In practical applications, incorrect protection curves can be caused by misconfigurations of line data or mistakes in coding. These defects are hard to be fully eliminated during the development phases. In this paper, we propose an online monitoring approach to provide on-going protections for ATP. In our method, dynamic models are introduced to describe behaviour of the system as monitoring specifications. This avoids the so-called state explosion problem that is caused by complicated line data. Furthermore, we present a concrete example taking from Beijing Yizhuang metro line. The verification results show that this online monitoring method is feasible to predict potential risks of train operations.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126788347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Online Insulation Fault Detection of Stator Winding of Induction Motor based on a Non-Intrusive Impedance Extraction Technique 基于非侵入式阻抗提取技术的异步电动机定子绕组绝缘故障在线检测
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641627
Zhenyu Zhao, K. See, E. Chua, A. Narayanan, Arjuna Weerasinghe, Zhenning Yang, K. Tan
{"title":"Online Insulation Fault Detection of Stator Winding of Induction Motor based on a Non-Intrusive Impedance Extraction Technique","authors":"Zhenyu Zhao, K. See, E. Chua, A. Narayanan, Arjuna Weerasinghe, Zhenning Yang, K. Tan","doi":"10.1109/ICIRT.2018.8641627","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641627","url":null,"abstract":"The induction motor has been widely used in a variety of industrial applications and is usually critical to the safe and reliable operation of the entire system. Since the insulation faults of the stator winding have accounted for a large proportion of faults in various induction motors, the technique to detect the early-stage insulation faults of the stator winding will be very useful as a timely maintenance scheme can be conducted for preventing the faults proliferation, thereby, reducing the safety risks, motor downtime, and the cost from maintenance and downtime. Therefore, this paper describes an online stator winding insulation faults detection method based on a non-intrusive impedance extraction technique. Experimental results show that the proposed method has the ability to detect the early-stage insulation faults of the stator winding before a catastrophic failure occurs with a simple onsite implementation and low safety hazards.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127982817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Distributed constrained consensus of multi-vehicle systems with external disturbances 具有外部干扰的多车辆系统的分布式约束一致性
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641610
Peng Xiang, Jiahui Shi, Xiaoli Wang
{"title":"Distributed constrained consensus of multi-vehicle systems with external disturbances","authors":"Peng Xiang, Jiahui Shi, Xiaoli Wang","doi":"10.1109/ICIRT.2018.8641610","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641610","url":null,"abstract":"In this paper, the nonconvex constrained consensus problem for a second-order multi-vehicle system with external disturbances is addressed by proposing a distributed control algorithm based on local information. First, the initial closed-loop system is turned into a reduced-order system which is convenient for the subsequent calculation. In the presence of external disturbances, it is proved that the nonconvex constrained consensus can be achieved if the presented sufficient condition is satisfied.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124722090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent Fault Detection and Diagnosis of Air Leakage on Train Door 列车车门漏气故障的智能检测与诊断
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641662
Xin Sun, K. Ling, K. Sin, L. Tay
{"title":"Intelligent Fault Detection and Diagnosis of Air Leakage on Train Door","authors":"Xin Sun, K. Ling, K. Sin, L. Tay","doi":"10.1109/ICIRT.2018.8641662","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641662","url":null,"abstract":"Train door is a critical subsystem in a railway system. Fault detection and diagnosis in the early stage of the train door subsystem are essential for improving pre-emptive maintenance capability and reducing train downtime. This paper presents a machine learning method for automated detection of air leakage faults occurring on train door subsystem. Fifteen features are extracted from the pressure signal in each door open and close cycles. The Multi-class Support Vector Machine with Radial Basis Function as the kernel function is used for classification. Preliminary laboratory test results suggest that the proposed method has potential to serve as an intelligent train door fault diagnosis system.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128537417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Backward-to-Forward Beam Scanning Leaky-Wave Antenna for Non-Destructive Testing of Cracks & Corrosion in Metallic Structures under Multilayered Composites 一种用于多层复合材料金属结构裂纹与腐蚀无损检测的前后波束扫描漏波天线
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641545
K. Chandrasekaran, M. Karim, Nasimuddin, M. Ong, A. Alphones
{"title":"A Backward-to-Forward Beam Scanning Leaky-Wave Antenna for Non-Destructive Testing of Cracks & Corrosion in Metallic Structures under Multilayered Composites","authors":"K. Chandrasekaran, M. Karim, Nasimuddin, M. Ong, A. Alphones","doi":"10.1109/ICIRT.2018.8641545","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641545","url":null,"abstract":"In this work, a novel backward-to-forward scanning leaky-wave antenna is characterized and validated for non-destructive testing (NDT) of cracks and corrosion in metallic structures under multilayer composites. Beamforming systems play a major role in NDT applications that involve scanning of a large target. Leaky-wave antennas are capable of scanning their main beam from backward to forward direction with change in input frequency. They are less complex to realize compared to other conventional beamforming systems that involve mechanical scanning or electronic beamforming. The proposed leaky-wave antenna that measures $7.51lambda_{mathrm{g}}times0.8lambda_{mathrm{g}}times0.036lambda_{mathrm{g}}$ with operating bandwidth extending from 8.0 to 12.5 GHz is reported in this work. The coverage of the leaky-wave antenna extends from −63° to 64°. The antenna is validated to be used for NDT application with simulation results indicating the scanning capability of the leaky-wave antenna.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"55 35","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131604029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Obstacle Avoidance for Autonomous Driving using Neuro-Fuzzy Architecture in an Urban Landscape 城市景观中基于神经模糊架构的自动驾驶避障
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641614
C. W. Lim, Darryl Eng Soon Ng, E. Yeo, M. Chua
{"title":"Obstacle Avoidance for Autonomous Driving using Neuro-Fuzzy Architecture in an Urban Landscape","authors":"C. W. Lim, Darryl Eng Soon Ng, E. Yeo, M. Chua","doi":"10.1109/ICIRT.2018.8641614","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641614","url":null,"abstract":"An autonomous vehicle must be able to respond to the state of objects in the surrounding, be it stationary or in motion. This paper outlines the techniques to allow the car to be aware of its immediate surroundings in front of it while it is moving autonomously and to make decision on its next course of action. If the object in front is stationary or moving slowly, the autonomous vehicle could decide to go around it, provided there are no obstacles at the side of the object in front. If it is unable to go around it, it should stop within a safe distance from the object in front. Several sensors are used to ascertain the proximity to surrounding front objects to make decision on the next movement. One of the techniques used is to apply fuzzy logic on the ultrasonic sensor readings to gauge the distance to front surrounding objects in fuzzy terms such as near, medium-distance or far. This method complements the trained neural network in making decisions on obstacle avoidance.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132839956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Multi-direction Reconstruction for Fault Diagnosis of Train Bearings 基于多方向重构的列车轴承故障诊断
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641612
Tong Fang, Qiang Liu, D. Cui
{"title":"Multi-direction Reconstruction for Fault Diagnosis of Train Bearings","authors":"Tong Fang, Qiang Liu, D. Cui","doi":"10.1109/ICIRT.2018.8641612","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641612","url":null,"abstract":"Bearing condition is important for the operation safety of the trains. Traditional rule-based method can only detect the fault after the bearing is seriously damaged when the bearing temperature is far higher than the normal situation. In this paper, data driven bearing fault diagnosis of train is discussed. Taking the operation dynamics into account, a dynamic inner principal component analysis (DiPCA) based bearing fault monitoring method is proposed. After that, in order to locate the fault, a DiPCA based multi-directional reconstruction method is proposed to identify the possible faulty variables. Results from case studies using the data collected from a real train operation demonstrate the effectiveness of the proposed methods.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131853590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Optimised Headway Distance Moving Block with Capacity Analysis 优化车头距移动块与容量分析
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641609
Huayu Duan, F. Schmid
{"title":"Optimised Headway Distance Moving Block with Capacity Analysis","authors":"Huayu Duan, F. Schmid","doi":"10.1109/ICIRT.2018.8641609","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641609","url":null,"abstract":"The railway control system is designed to act as a safety system that prevents collisions between trains and that maximises the utilisation of the rail network. Different signalling systems are widely used to achieve safety, but to achieve higher capacity, these existing systems may have to be updated or replaced in the future. Combining moving block and aspects of relative distance braking, a novel signalling system is proposed in this paper. The simulation shows that the novel concept has an excellent capacity outcome. The safety risk is also discussed to ensure its feasibility.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133389805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
An integrated approach for predicting wear and fatigue damage of wheels and rails in SMRT systems SMRT轮轨磨损与疲劳损伤综合预测方法研究
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641564
Lichun Bai, Biao Li, Fei Shen, Wai Yi Ng, M. Yusoff, Swee Thiam Lim, K. Zhou
{"title":"An integrated approach for predicting wear and fatigue damage of wheels and rails in SMRT systems","authors":"Lichun Bai, Biao Li, Fei Shen, Wai Yi Ng, M. Yusoff, Swee Thiam Lim, K. Zhou","doi":"10.1109/ICIRT.2018.8641564","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641564","url":null,"abstract":"This study investigates the wear and fatigue damage of wheels and rails in SMRT systems by developing a theoretical approach via integrating multibody dynamics simulation, contact mechanics analysis and experimental testing. The approach is well validated by comparing the theoretical predictions with the practical observations. It is found that a large track curvature and a large velocity increase the wear and the contact stress which can promote the occurrence of fatigue. Moreover, the modelling shows that the profile optimization of wheels can efficiently increase their resistance to wear and fatigue. By adjusting the geometry of the wheel profile, a reduction of 16.1% in maximum wheel wear depth can be achieved, and the maximum subsurface von Mises stress between the wheel and rail reduces by about 19%. These results help to understand the wear and fatigue of wheels and rails in SMRT systems and also provide suggestions for their further improvement.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123793609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Using Colored Petri net for Level-Crossing safety analysis 彩色Petri网用于平交道口安全分析
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641674
Chen Lijie, Liu Hongjie, Wang Weiqi
{"title":"Using Colored Petri net for Level-Crossing safety analysis","authors":"Chen Lijie, Liu Hongjie, Wang Weiqi","doi":"10.1109/ICIRT.2018.8641674","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641674","url":null,"abstract":"The level crossing (LC) is the intersection of roads and railways. In the event of a collision accident, it not only affects the efficiency of railway operations, but also causes casualties. Therefore, safety of LC is identified as critical point for both railway and road transit. To analyze the safety of LC, model based method is proposed in this paper to establish the model of LC, and model checking method is proposed to analyze safety of LC. It is used Colored Petri Net suite as analysis tool, established LC function model, designed algorithm of safety analysis, and showed the feasibility of Colored Petri Net on LC safety analysis.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114587816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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