A. Narayanan, Zhenyu Zhao, E. Chua, Arjuna Weerasinghe, K. See, Kennard Junitra, Boon Kai Koh
{"title":"Study on the Parameters Affecting the Impedance Extraction Accuracy by Inductive Coupling Method","authors":"A. Narayanan, Zhenyu Zhao, E. Chua, Arjuna Weerasinghe, K. See, Kennard Junitra, Boon Kai Koh","doi":"10.1109/ICIRT.2018.8641624","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641624","url":null,"abstract":"The method of extracting in-circuit impedance using inductive coupling technique is a useful and non- destructive procedure for condition monitoring of electric systems due to its non-intrusiveness and easy-to-use features. The method requires a signal to be injected into the system to derive the online impedance of the system. However, each electrical system has specific characteristics in terms of its impedance magnitude and using the same injecting signal to quantity differing impedance values may lead to measurement inaccuracies. Moreover, the placement of the injective and receiving devices may have some impact on the measurement accuracy due to coupling effects. This paper analyses how different injecting signal levels and the proximity between the injecting and receiving device can affect the impedance measurement accuracy. Experiments were conducted using circuits of different impedances and varying the injecting signal levels as well as by varying the positioning of the injecting and receiving devices to understand how the measured values can be affected. Results show that higher circuit impedances require appropriate injecting signal levels to ensure an acceptable measurement accuracy while the placement of the injecting and receiving device should be wide enough to ignore the coupling effects at higher levels of loop impedance.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"121 33","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131746649","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}
{"title":"Saliency Detection with Side Information on Railway Transportation Dataset","authors":"Qiuning Li, Yidong Li, Congyan Lang","doi":"10.1109/ICIRT.2018.8641630","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641630","url":null,"abstract":"with the development of intelligent railway transportation, accurate location of wayside track assets like traffic signals, mileposts, switches, crossings make essential sense. In this paper, we propose a novel saliency detection model with deep learning and side information aimed at railway transportation dataset. We firstly construct a new railway transportation dataset, which includes 1282 images from the real videos taken by the camera on moving trains and collected from the Internet. Extensive experiments show the effectiveness of our model which can accurately locate the salient object in the dataset.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"14 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":"131772434","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}
{"title":"Using Wifi Technologies to Count Passengers in Real-time around Rail Infrastructure","authors":"P. Reichl, Beng Oh, R. Ravitharan, Mark Stafford","doi":"10.1109/ICIRT.2018.8641595","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641595","url":null,"abstract":"Smart mobile devices with wireless networking are now ubiquitous. If switched on, these devices will look for wireless access points in their immediate vicinity. This behaviour can be used to count the number of these devices and by association, the number of people nearby. With enough sensors the number and the flow of people through a space can be mapped. This study examines the use of this technology to estimate the number and flow of people through parts of Richmond Railway Station in Melbourne, Victoria. When used in a station, a train or across a transport network the information gathered can then be used by transport authorities for the planning and delivery of services and by passengers to better plan their journey.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"57 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":"116124314","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}
{"title":"Towards a Zero Downtime Rail Transportation","authors":"Serge Hodor","doi":"10.1109/ICIRT.2018.8641561","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641561","url":null,"abstract":"This paper describes what Implementing a zero-downtime rail transportation system implies, in terms of challenges and, therefore, what capabilities it requires, to improve the level of reliability and help optimizing costs. Designing and building greater life-expectancy assets is certainly one way to help achieving this goal. But, it is not enough, as even the best design will lead to breakdowns. It is just a matter of time. For this reason, traditional maintenance is an essential component and cannot be simply removed from the equation. However, this does not mean it cannot be transformed in a way it can contribute to the mentioned goal. Like other areas, that are currently evolving from traditional to digital, maintenance has started to follow similar pattern. And while cost optimization and failure detection represent two major drivers, many others exist (for instance, performance as well as customer experience) which in turn, involve digitization. Despite the significant difficulty it requires, such evolution has become unavoidable for transport operators, for them to stay ahead of time and competitors.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"16 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":"122197738","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}
Wensong Wang, Yuanjin Zheng, Quqin Sun, Siyu Liu, Suxia Yan, Zhenyu Zhao, Xinqin Liao, Xin Sun, Song Yong Phua, Song Yong Phua Kelvin, Christian Ivan
{"title":"Investigation and Study for Rail Internal-Flaw Inspection Technique","authors":"Wensong Wang, Yuanjin Zheng, Quqin Sun, Siyu Liu, Suxia Yan, Zhenyu Zhao, Xinqin Liao, Xin Sun, Song Yong Phua, Song Yong Phua Kelvin, Christian Ivan","doi":"10.1109/ICIRT.2018.8641640","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641640","url":null,"abstract":"This paper investigates different methodologies for inspecting internal flaws inside the rail. The advantages and disadvantages are analyzed and compared. Then, the coil-based electromagnetic-induced thermoacoustic technique is proposed, and the experiment is implemented. By comparing the data collected from different rails with and without holes, the flaw inside the rail can be detected.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"84 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":"132841160","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}
Chunhua Yang, Yue Wu, Tao Peng, Zhi-wen Chen, Chao Yang
{"title":"A single-phase two-level rectifier modeling method based on improved Hefner model","authors":"Chunhua Yang, Yue Wu, Tao Peng, Zhi-wen Chen, Chao Yang","doi":"10.1109/ICIRT.2018.8641681","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641681","url":null,"abstract":"The traditional rectifier modeling method does not take into consideration the transient working process of the insulated gate bipolar transistor (IGBT). This paper first proposes a single-phase two-level rectifier modeling method based on improved Hefner model. On the premise of maintaining accuracy, complexity of the Hefner model and the tedious of the iterative process of the system equation are improved to make it more suitable for rectifier topology. Secondly, the improved Hefner model is applied to single-phase two-level rectifier to complete the overall model. Finally, Matlab/simulink is used as a platform to verify the correctness of the improved model and the rectifier model. The proposed model in this paper can reflect the complete working process of IGBT, which is more in line with the actual working conditions.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"2 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":"114478554","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}
{"title":"A Tracking Method of Load Current Based on Finite Set Model Predictive Control for Motor Simulator","authors":"Chunhua Yang, Rui Qin, Hongwei Tao, Zhi-wen Chen, Chao Yang, Tao Peng","doi":"10.1109/ICIRT.2018.8641642","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641642","url":null,"abstract":"A tracking method of load current for motor simulator based on finite set model predictive control (FSMPC) is presented. First, the dynamic mathematical model of asynchronous motor is established to obtain reference current of motor simulator. Second, the prediction model of load current of motor simulator is constructed to calculate predicted load current for each switch state in each sampling period. Finally, the evaluation function is constructed according to reference current and predicted load current of motor simulator, the switch states corresponding to the minimum evaluation function is selected as switch state of switch matrix at the next time. The experimental results of hardware-in-loop show that motor simulator based on FSMPC can track the motor stator current more accurately and quickly compared with the motor simulator based on PI control.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"106 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":"116579281","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}
{"title":"Transfer synchronization model with elastic headway and valid inequalities","authors":"Wenkai Xu, Peng Zhao, Liqiao Ning","doi":"10.1109/ICIRT.2018.8641679","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641679","url":null,"abstract":"Given that the timetable with even headway is inferior in matching the passenger demand, we use the departure times in even headway situation as the benchmarks, and allow the departure times to change within a limited range to increases the flexibility in timetabling. Then a transfer synchronization model with elastic headway is constructed. By analyzing the specific structure of the model, four classes of valid inequalities are designed to improve the computational efficiency when implementing the branch and cut algorithm in CPLEX. Finally, an experimental case study is conducted and results show that timetabling with elastic headway can effectively improve transfer efficiency, and valid inequalities can strengthen the linear relaxation model and shrink the solution space as well as the number of branch nodes, and then the algorithm can seek the optimal solution faster.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"9 8 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":"116798758","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}
G. Xin, Yong Qin, L. Jia, Shunjie Zhang, J. Antoni
{"title":"Low-rank and sparse model: A new perspective for rolling element bearing diagnosis","authors":"G. Xin, Yong Qin, L. Jia, Shunjie Zhang, J. Antoni","doi":"10.1109/ICIRT.2018.8641577","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641577","url":null,"abstract":"Rolling element bearings are one of the most essential yet vulnerable components in railway systems. Due to harsh working conditions, its health condition degrades over time, or worse still, the incipient fault signature is easily overshadowed by strong interfering noise. In recent years, sparse representations of the vibration signal have attracted more and more attention in the scientific community. The benefits of sparsity-based models have been fruitfully explored and, in brief, most of the research matches the fault signature of vibration signal to some degree which addresses specified problems rather than general ones. The state-of-the-art in sparsity, as it applied to machinery fault diagnosis, still faced some challenges. Of particular importance is dealing with the incipient fault, especially in the case of poor signal-to-noise ratio (SNR). The aim of this communication is to fill in the gaps by introducing the low-rank and sparse model (LRSM). First, recent sparsity-based models are succinctly reviewed with their pros and cons. Second, a new model based on the low-rank and sparse constrains is proposed for capturing the repetitive transients embedded in heavy background noise which jeopardize their symptoms in practical applications. Eventually, its effectiveness is investigated on synthetic signals in the case of low SNR=-6dB.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"361 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":"125650778","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}
{"title":"A Method for Evaluation System of Railway Driver Non-Technical Skills Construction","authors":"Yihang Du, Weining Fang, Ke Niu","doi":"10.1109/ICIRT.2018.8641672","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641672","url":null,"abstract":"The frequency of adverse events in rail traffic control system has been linked to the quality of teamwork and communication. With the automation developed, non-technical skills (NTS) underpin technical ability of railway drivers and are critical to the success of operations and the safety in the railway system. Developing suitable NTS evaluation system of railway drivers may play a role in reducing human errors in railway. In this study, four important NTS were selected to describe behaviors of railway driver in automation conditions: situation awareness, decision-making, communication and self-management. Consultation with experts and task analysis led to modifications reflecting the complexities of the railway drivers, particularly the coexistence of three post (driver, dispatcher and integrated controller). The scale was then developed using questionnaire and principle component analysis (PCA) method, and structural equation model (SEM) used to assess the reliability and validity of the NTS scale. The model can provide a certain basis for the evaluation, selection and training for railway drivers, enhance the NTS and ensure the safety of railway system.","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":"128942980","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}