Speakers of EITRT2017

Prof. Huai Wang

Huai Wang is currently an Associate Professor and a Research Thrust Leader with the Center of Reliable Power Electronics (CORPE), Aalborg University, Denmark. His research addresses the fundamental challenges in modelling and validation of power electronic component failure mechanisms, and application issues in system-level predictability, condition monitoring, circuit architecture, and robustness design.  Prof. Wang is a lecturer of a 3-day industry/PhD course on Reliability of Power Electronic Systems, and a 2-day industry/PhD course on Capacitors in Power Electronics Applications, held annually at Aalborg University.  He has given more than 20 invited talks at universities and companies in Asia, Europe, and US, and 15 half-day or full-day tutorials at leading power electronics conferences. He has co-edited a book on Reliability of Power Electronic Converter Systems in 2015 (Chinese version to be published in 2018), and contributed to more than 120 SCI- and EI-indexed publications, including a few concept papers on power electronics reliability. 

Prof. Wang received his PhD degree from the City University of Hong Kong, Hong Kong, China, and Bachelor degree from Huazhong University of Science and Technology, Wuhan, China. He was a visiting scientist with the ETH Zurich, Switzerland, from August to September 2014, and with the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, from September to November 2013. He was with the ABB Corporate Research Center, Baden, Switzerland, in 2009. He received the IEEE Power Electronics Society (PELS) Richard M. Bass Outstanding Young Power Electronics Engineer Award, in 2016, for the contribution to the reliability of power electronic conversion systems. He serves as an Associate Editor of IEEE Transactions on Power Electronics, IEEE Journal of Emerging and Selected Topics in Power Electronics, and IET Power Electronics.


Abstract: Power electronics technology enables efficient conversion and control of electrical energy. It plays an increasingly important role in the electrification of rail transportation.  Reliability performance of power electronic products is critical to the safe and cost-effective operation of rail systems.  This presentation will discuss the challenges and opportunities in three key reliability aspects of power electronic systems, from component physics-of-failure, design for reliability and robustness validation, to intelligent control and prognostic health monitoring.  State-of-the-art research outcomes on reliability-oriented design and control of power electronic systems, mission profile based component-level and system-level reliability prediction tools, and advanced prognostic health monitoring methods will be briefly introduced.

Prof. Andreas Steimel

Andreas Steimel,born1947,studiedElectricalEngineeringattheTechnicalUniversity Darmstadt, Germany, from 1967 to 1972 and obtained the degree ofDr.-Ing. from the sameuniversity in 1977. From 1977 to 1990 he was with the Traction Division of BBC (later ABB) inMannheim,Germany,being responsible for traction converters and powersystemoptimization of mainline locomotives. 1990 he was appointed Professor for Electrical PowerEngineering at the Ruhr-University Bochum, Germany; since 1994 he hasbeen Head of the Chair for Generation and Application of Electric Energy. His main research interests are in power electronics and acdrive control, with the focus on traction applications. In 2012 he retired from active service. 

Prof.Steimel is Senior Member of IEEE, member of VDE and was Chairman of Section A2 "Railways and Vehicles with Electric Drives" in the Energy Technology Group of VDE. He is Member of the Board of the journal ElektrischeBahnen. In 1998, he was awarded the title of Advisory Professor of Tong-Ji University, Shanghai, and in 2011 the title of Dr. h.c. by the Stefan cel Mare University of Suceava/Romania.
He is author of the textbook “Electric Traction - Motive Power and Energy Supply”, 2nd edition 2014, Deutscher Industrieverlag, Munich (now InnotechMedien, Augsburg).

Dr. Roman Bartelt

Roman Bartelt, born in 1981, studied Electrical Engineering at the Ruhr-University Bochum, from 2001 to 2007. He obtained the degree of Dr.-Ing. from Prof.Dr. Staudt and Prof.Dr. Steimel from the same university in 2013. In 2010, he co-founded the Avasition GmbH, where he works as managing director since 2011. His main research interests and projects are in the field of modelling, simulation and control of power electronics.


Andreas Steimel and Roman Bartelt

ABSTRACT: The electrification of European mainline railways started very early in the 20thcentury, using different DC and AC technologies. But it was only after the onset of thecommon European Market, that the need for traction material arose which could beoperated inthe four remaining supply systems freely. While withthe classic traction with series-wound commutator motors technologies special (and uneconomic) constructions were needed, the three-phase drive technology with Voltage Source Inverters and Four-Quadrant line-side converters employing self-commutating devices (GTO) enabled by its modularityrather simple and economic solutions. The introduction of 6.5-kVIGBTs allowed further standardization and increased performance and thus the economical break-through of four-system traction material.

Based on these new possibilities, the design and optimization of multisystem locomotives has to be improved (very much) to meet all requirements of the different railway supply systems. Considering the locomotive requirements and the limits of all preferred components, in cooperation with CRRC ZELC a complete software-based optimization process is implemented. Starting with an initial dimensioning based on decades of experience, the detailed calculation of every single component is developed analytically and numerically. Additionally, the complete software process includes the detailed simulation with the softwareframework VIAvento which has been designed especially for the simulation of power-electronic systems like modern converter-fed locomotives. Selected simulation results will be shown in the presentation.

Prof. Lei Nie

Professor Nie is Professor and the Dean of the School of Traffic and Transportation in Beijing Jiaotong University in Beijing, China. She has been involved in research on high-speed rail operations and management for more than 20 yearsand published 70 papers, 2 books and taken part in more than 30 research projects on high-speed rail. Professor Nie teaches rail courses, including Overview of High-Speed Railway, High-Speed Railway Operation and Management. Currently she is serving as a member of 4th Expert Committee of the Ministry of Transport of the People's Republic of China, a council member of International Association of Railway Operations Research (IAROR),an associate editor of Journal of Rail Transport Planning and Management (JRTPM) etc.


ABSTRACT: Presentation Abstract: China has developed the largest high-speed rail (HSR) network in the world. This presentation introduces the development of China’s HSR by 1) providing background to the HSR development, 2) summarizing the current HSR network in China and its major technical achievements, 3) comparing operational performance of Chinese HSR to other transportation modes, 4) discussing the economic and social benefits created by the development of HSR in China, and 5) pointing out the challenges of HSR in China.


Ying Yang

Ying Yang, master degree, vice chief engineer of CRRC ZELC. IEC61991 standard group members of IEC International Electrotechnical Commission. Guest professor of Railway and urban rail transit research institute in Tongji University. Chairman of Integrated national engineering laboratory of rail transit vehicle systems (Zhuzhou).
2016.12-now, experts and academic members of China urban rail transit association.
2012.10-now, expert committee memberin CRCC of urban rail transport equipment certification technology committee.
2007.05-now, vice chief engineer of CRRC ZELC.


ABSTRACT: Comparing to diesel shunting technology and electrical shunting technology, energy saving effect, work duty of engine and traction performance of hybrid shunting technology are much better.Furthermore, there are so many advantages (safety, power density, life cycle, charge/discharge rate, etc al) of super cab to lithium battery and pseudo cap in energy storage. CRRC ZELC proposes a new technology to use super cab as main energy storage element used in locomotive, tram and other kinds of railway transportations equipments. Also, CRRC ZELC has provided hybrid power technology to OBB, DB in refurbishing some shunting locomotives.


Dr. Ulrich Hachmann

Ulrich Hachmann 是一个知名的具有30多年工业经验的机械工程师。他1989 - 2000年在MAN 及后续公司(AEG、 Adtranz)工作,2000-2014年是Logo Motive GmbH 公司的CEO,在2014年之后是这家公司的总工程师。 


ABSTRACT: 当今铁路车辆一般通过使用一般安全方法(CSM)进行评估。解释了CSM三个基本列。精确的风险预估将采用FMECA进行表达。这包括结构化(子系统的定义),子系统的功能定义,潜在错误分析(原因、形式和后果),风险评估和风险优先顺序建议(高风险排序),预防和检测措施及一个残余风险评估。FMECA的应用基于一个正式的规定过程。但是,需要注意的是,可应用到相关标准(例如EN 50126ff 和 IEC 61508 )存在不同的路径和评估,尤其是评估故障的原因、故障类型、故障后果和它们的风险评估。因为实际残余风险取决于过程类型、充分的系统理解、及准确的在前述条件下的后续机车运用的边界条件组成。


Jianying Liang

Jianying Liang, Professor-level Senior Engineer, is the Vice-president and Chief Engineer of CRRC Qingdao Sifang Co.,Ltd. , also a member of the ninth national committee of National Association for Science and Technology. She won "Railway Science and Technology Special Award" and “State Science and Technology Progress Prize” in 2016 and 2015. In addition, she was the owner of “Mao Yisheng Science and Technology Award - Railway Engineer Award”, “Medal of Locomotive” and awarded as Professional Female in Shandong Province. 

Jianying Liang is devoted herself to R&D of railway transit equipment these years. She has led more than 10 national scientific R&D projects of 973 Program, 863 Program and State Science and Technology Support Program. She has more than 20 publications and holds 118 patents. The projects she undertook including “the development of the new generation high-speed EMU with the maximum service speed of 380km/h”, “the 300~350km/h EMU”, “high-speed train traction drive system based on permanent magnet motor”, “the higher speed test train”, “China high-speed standard EMU with the maximum service speed of 350km/h (Renaissance EMU)” have achieved a series of technical results. The EMU with the speed level of 350km/h created a maximum testing speed of 486.1km/h for commercial operation, has shown the strength of China high-end manufacturing, has become the “golden business card” for Chinese equipment.


ABSTRACT:Up to the end of 2015, China had completed the establishment of 4 vertical and 4 horizontal high-speed railway network in advance. The total operating mileage of high-speed railway reaches 22,000 km, and the amount of operating high-speed EMUs exceeds 2642, significantly improving people’s travel mode and experience.
However, since the increasing of operating train amount, on one hand, the operation and maintenance cost increases obviously due to the lacking of high-efficient operation and maintenance mode; on the other hand, a large number of data resources generated during train operation and maintenance have not been used effectively.In order to change the present situation, intelligent learning methods are adopted to mine “knowledge information” in data resources of operation and maintenance of EMU, so as to establish assessment model for service performances of main equipment such as traction motor, bearing. The model predicts the performances on the basis of current operating conditions and assesses the current performance and state of such equipment in accordance with prediction results, test results and historical data, so as to optimize operation and maintenance mechanism as well as inventory management of spare parts.On the basis of establishing assessment model for service performances of equipment, by means of abundant data resources of operation and maintenance, service functions such as integral service of predictive equipment maintenance and accessories as well as virtual and visual remote guidance are gradually realized, and the operation and maintenance mode of EMU is improved, so as to drive the completion of transformation from a large amount of “data” to “knowledge” and then to “value” for train operation and maintenance.

Prof. Min An (BEng(Hons), MSc, PhD, CEng, MIMechE, MCICE, MIEngD)

Min An (BEng(Hons), MSc, PhD,PG Cert, CEng, MIMechE, MCICE, MIEngD) is a Professor of Construction and Transport Risk Management at the University of Salford,Manchester, UK. Prior to his current appointment, Professor An was a Reader Professor of Project and Transport Risk Management at the University of Birmingham (2003-16), a Senior Lecturer and Director of Engineering Design Research Centre at Coventry University (2000-03), a Postdoctoral Research Fellow and then a Lecturer Liverpool JM University (1997-2000) after he received a Ph.D. from Heriot-Watt University in 1997.He is alsoa Principle Scientist/Senior Consultant forNetwork Rail, London Underground, Tube Lines, Serco Assurance, Rail Safety & Standard Board; and an Editor/Associate Editor/Member of Editorial Boards for 12 international academic journals. He also holds the appointment as a Professor of Railway Safety Engineering at Beijing Jiaotong University, China. His research and consultant works, especially in the context of railway and transportation engineering, are mainly in the fields of (1) development and application of more rational and sustainable safety, risk, reliability and decision-making techniques and methods to facilitate railway safety, risk and reliability analysis, and (2) development of the advanced procedures for minimizing risks by improved design aspects, construction and maintenance strategies based on safety and reliability assessment. This work has been sustained over the past thirty years and has resulted in over one hundred technical papers in journals/at conferences. His research work has been financially funded from a variety of sources including research councils (EU and UK), government agencies and industry. He has been involved in organization or as a member of the International Advisory Board for many of international conferences and has been invited to give many keynote lectures at the international conferences, workshops and seminars. He has collaborated with many of railway industrial major players internationally and nationally including London Underground, Rail Safety & Standard Board, Network Rail, Tube Lines, Metronet SSL, Serco Assurance, Balfour Beatty, TACO, Eurostar (UK) Ltd, Amey Plc, BAE System, Sir Robert McAlpine, Scott Wilson, and Highways England etc. He has delivered many workshops to transfer his research results to industry. The outcomes of the research and consultancy activities can be broadly described as providing new or improved design, construction, operation and maintenance related processes and strategies, resulting in the development of appropriate safety risk assessment and decision making methods and tools, particularly, in railway transportation.

School of Built Environment, the University of Salford, Manchester, M5 4WT, UK
Tel: +44 (0)161 2956294; E-mail: M.An@salford.ac.uk

ABSTRACT:Maintenance of railway systems, such as track, signal, power supply, and vehicle systems can increase safety and reliability of railway network to provide best service for their passengers and customers. However, the absence of sufficient information required in the maintenance activity can result in failures of railway systems. Building Information Modelling (BIM) has become a powerful and useful technology in the transformation towards digital maintenance work by producing Level of Graphical Detail (LOD) of the 3D and 4D simulation models. It can be applied not only for track renewal, but can also be used in maintenance work of signal, power supply, and vehicle systems.This keynote addresses what BIM is, why it is needed, BIM in practice, challengesin creating a 4D schedule for track renewal maintenance work, and two short video clips are used to demonstrate the application of BIM to construction and maintenance practice simulations.

Jianghua Feng

Jianghua Feng , received his B.S. degree in Electric Machine and Control from Zhejiang University, Hangzhou, China in 1986, M.S. degree in Electric Machine and Control from Zhejiang University, Hangzhou, China in 1989, and Ph. D. degree in Control Theory and Control Engineering from Central South University, Changsha, China in 2008. He joined CSR Zhuzhou Institute Co. Ltd., Zhuzhou, China in 1989. His research interest is AC drive system and its control in rail transportation field. He has several journal papers published in Proceedings of China Internat, IEEE International Symposium on Industrial Electronics, International Power Electronics and Motion Control Conference, IPEC, IECON, IEEE Conference on Industrial Electronics and Applications, Electrical Machines and Systems. He is now serving as Vice President and the Chief Technology Officer of CSR Zhuzhou Institute Co. Ltd. and is the distinguished professor in South west Jiaotong University, Tongji University and Central South University. 

ABSTRACT:For many years, to deliver train control command data, bus-based train communication networks (TCNs) have been widely applied. The reliability and security of these networks have been tested strictly. However, the network capacity of such networks are very limited, which can no longer meet the demand of applications, i.e., CCTV, audio/video and IoT. To satisfy the capacity needs of those data-intensive applications, a new train control and information service network (TCSN) has been developed recently. Besides higher bandwidth, TCSN is more flexible and more compatible compare to bus-based TCNs. On the other hand, the reliability and security of TCSN should be studied thoughtfully, due to their de-centralization and openness.     
  In this report, a brief introduction of TCSN is proposed, including its development history, architecture, core technologies, system and applications. The report also highlights the advantages and convenience that TCSN will bring to modern trains. Finally, the future of TCSN is brought. We believe that with TCSN, train will be more and more intelligent and passengers will have safer, more convenient and comfortable travel experience in the near future.

Prof. QIN Yong

Yong Qin is the Dr., Professor, Vice director of State Key laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University. He also is the vice dean and secretary general of Rail Transportation Electro-technical Committee of China Electro-technical Society, the vice dean and secretary general of Rail Intelligent Transportation Systems Committee of China Intelligent Transportation Systems Society, and the member of IEEE and system safety society (USA). His research interests are in the area of intelligent transportation systems, railway operation safety and reliability, rail network management and traffic model. The developed technologies and products have been applied into Chian High-speed railway safety assurance and emergency responcy, Qinghai-tibet railway operation monitoring, Beijing Guangzhou urban rail network operation safety assurance. He has authored or coauthored more than 100 publication papers and 5 books, has 12 patents granted, also won 7 China National or Ministry Science and Technology Progress Award.

ABSTRACT:In order to improve the efficiency and safety of large-scale rail network operation, more and more sensors and monitoring technologies have been used and mass data have been produced. These mass data of railway industry are typical industrial big data. Up to now, many new active safety assurance technologies based on industrial big data have been studied and applied into the practice of China railway. In this talk, these methods, technologies and applications will be introduced in detail.



Ingo A. Hansen
Delft University of Technology
ABSTRACT:Conventional driver advisory systems are bound to the communication of scheduled local speed advices for regular train operation while neglecting the impact of actual train delays and traffic density in railway networks. Intelligent driver advisory systems make use of real-time traffic information generated by signalling and safety systems of the track infrastructure which are communicated via digital radio to a central traffic control unit. A central traffic control unit then computes and transmits globally optimal speed profiles in real-time to the on-board units of the trains that generate conflict-free and energy-optimal speed advices at local level. The computation and communication of accurate advisory speed changes based on optimal speed profiles at open track sections and in interlocking areas assure conflict-free train operations, can reduce train delays and save energy. 

Prof. Chris Mi, Ph.D, Fellow IEEE

Chris Mi is a fellow of IEEE, Professor and Chair of the Department of Electrical and Computer Engineering and the Director of the US DOE funded GATE Center for Electric Drive Transportation at San Diego State University. He is also an adjunct professor at the University of California, San Diego. He was previously a professor at the University of Michigan, Dearborn from 2001 to 2015. He received the B.S. and M.S. degrees from Northwestern Polytechnical University, China, and the Ph.D. degree from the University of Toronto, Canada.  Previously he was an Electrical Engineer with General Electric Company. 
His research interests are in power electronics. He has published more than 130 journal articles and delivered over 50 invited talks and keynote speeches. He has also served as a panel moderator and panelist in major IEEE and SAE conferences. Dr. Mi is the recipient of the “Distinguished Teaching Award” and “Distinguished Research Award” of University of Michigan, Dearborn. He is a recipient of the 2007 IEEE Region 4 “Outstanding Engineer Award,” “IEEE Southeastern Michigan Section Outstanding Professional Award.” and the “SAE Environmental Excellence in Transportation (E2T) Award.”  Dr. Chris Mi was a Distinguished Lecturer (DL) of the IEEE Vehicular Technology Society.
Dr. Mi is the Area Editor of IEEE Transactions on Vehicular Technology, associate editor of IEEE Transactions on Power Electronics and IEEE Transactions on Industry Applications, Guest Editor-in-Chief of IEEE Journal of Emerging and Selected Topics in Power Electronics - Special Issue on WPT, IEEE Transactions on Power Electronics - Special Issue on WPT, and IEEE Transactions on Industrial Electronics - Special Issue on Dynamic Wireless Power Transfer. He is the topic chair of the 2011 IEEE International Future Energy Challenge and General Chair of the 2013 IEEE International Future Energy Challenge. He was the General Chair of 2009 IEEE Vehicle Power and Propulsion Conference, Co-Chair of IEEE Workshop on Wireless Power Transfer, Program Chair of the 2014 IEEE International Electric Vehicle Conference (IEVC), Co-Chair of the IEEE Transportation Electrification Conference (ITEC- Asian). He is Academic Affairs Chair of IEEE Power Electronics Society and the Chair e-Learning Committee for the IEEE Future Direction’s Transportation Electrification Initiative.

ABSTRACT:Wireless power transfer (WPT) technology offers significant improvement in convenience and electric safety for electric vehicle (EV) charging. Our research aims at novel designs that considerably reduce size and cost while increasing the coupling coefficient and improving the misalignment capability. We will first introduce the basics of WPT, followed by discussion of a double-sided LCC topology which further enhances the system efficiency. Experiments show that tens of kilowatts of power transfer can be achieved over 200mm distance with an efficiency of 97% (DC-DC), and a misalignment tolerance of up to 300mm. We will then discuss the capacitive wireless power transfer (CPT) for EV charging applications. It has been an established myth that good efficiency and stability of control was only possible at low power levels (in the tens of watts) and with low transfer distances (in the millimeter range) for CPT. We have shown that it is possible to achieve excellent efficiencies at the power level and distance applicable to EV charging, breaking the established myth, enabling a paradigm change on EV charging, and making low cost wireless power transfer possible A double-sided LCLC topology was proposed. A 2.4kW CPT system was designed with four 610mm × 610mm aluminum plates at a distance of 150mm. The experimental prototype reached a DC-DC efficiency of 92% at 2.4kW output power. The CPT system provides a lower cost and better misalignment capability then inductive wireless power transfer systems.

Dr. Ing. Giorgio Medeossi

Dr. Ing. Giorgio Medeossi studied Transportations Systems Engineering (2001-06) and received a PhD at the University of Trieste (2010), where he is currently researcher and contract professor. He was involved in several research projects in the field of rail operations analysis, modelling and simulation and is author of over 40 scientific papers. With the paper “A method for using stochastic blocking times to improve timetable planning” he was awarded the “Young Researcher Award”of the International Association of Railway Operations Research (IAROR) in 2011. He is the founder and president of the spin-off TRENOlab, which supports the railway companies in improving the operations through studies and software. TRENOlab has been involved in railway operations studies in Italy and in other Countries in Europe, Africa, South America and Australia, and partners with major operators such as MTR, SNCF and Jernbaneverket on a regular basis.

ABSTRACT:Data analysis to improve the quality of operations: application to Crossrail. The presentation will focus on the results of a real-world application of data analysis to to improve the quality of operations, which was carried out in 2016 byTRENOlab for MTR Crossrail in London. A combination of historical train movement and ticketing data was used to identify the critical elements in the operations of the London -Shenfield line and to drive a set of timetable tweaks, which where first validated using stochastic simulation and then applied to the real timetable, obtaining a significant improvement of the quality of operations. 
Simulation of railway operations: strengths, weaknesses and unexploited potentials. The stochastic simulation of railway operations is the ideal companion of railway planners during most stages of planning since it allows evaluating the impact of new or improved infrastructure, timetables and rolling stock before constructing them or even before planning them in detail. Although powerful simulation tools have been on the market for the last 10-15 years, and have been widely used in several Countries, a number of weaknesses limit their usability and the reliability of their results, in particular under delayed conditions. The presentation will cover the strengths and the weaknesses of the approach, and identify ways to broaden its applicability.

Prof. Meng Chu Zhou

MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990.  He joined New Jersey Institute of Technology (NJIT), Newark, NJ in 1990, and is now a Distinguished Professor of Electrical and Computer Engineering and the Director of CRRC-ZIC Laboratory for Rail System Network and Information Technologies at NJIT. His research interests are in discrete event systems, intelligent transportation, intelligent automation, Internet of Things, big data, and high-speed train communication and control.  He has over 700 publications including 12 books, 390+ journal papers (over 280 in IEEE transactions), 11 patents, and 28 book-chapters. He was invited to lecture in Australia, Canada, China, France, Germany, Hong Kong, Italy, Japan, Korea, Mexico, Saudi Arabia, Singapore, Taiwan, and US and served as a plenary/keynote speaker for many conferences.  He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering. He has been a Guest Editor, Associate Editor, Managing Editor, Editor, and Editor-in-Chief of over a dozen international journals including IEEE Transactions on Intelligent Transportation Systems. He has been among most highly cited scholars for years and ranked top one in the field of engineering worldwide in 2012 by Web of Science/Thomson Reuters. He is a recipient of Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man and Cybernetics Society. He is a life member of Chinese Association for Science and Technology-USA and served as its President in 1999. He is a Fellow of IEEE, International Federation of Automatic Control (IFAC) and American Association for the Advancement of Science (AAAS).

ABSTRACT:High-speed trains (HSTs), which travel at speeds of 300 km/h or faster, have played an increasingly significant role in recent public transportation. For example, the number of HST passengers in China has increased from 128 million in 2008 to 672 million in 2013, representing an annual growth of approximately 39% during that period. Because of the increasing number of passengers and bandwidth-hungry online streaming services, such as Youku, the demand for high-speed Internet access on HSTs is also on the rise. Several technologies are being considered for HST communications but they cannot provide high data rates because of interference, bandwidth limitations, and the inherent limited data rates of radio-frequency technology. Free-space optical (FSO) communication is an alternative approach to them. This is a line-of-sight technology that uses modulated light to transfer data. Its benefits over radio-frequency technologies include immunity to electromagnetic interference and high security owing its use of directed light, and the use of an unregulated range of the spectrum. FSO technology can use multiple parallel beams to provide unprecedentedly high data rates. For instance, an FSO communications system that provides a date rate of 1.28 Tbps using 32 parallel channels, each providing 40 Gbps, with a range of 210 m between two stationary stations has been demonstrated. FSO technology has attracted significant attention for high-speed railway communications since it is expected that FSO can provide data rates in the range of Gigabits per second for HSTs. Therefore, it can be considered as a next generation communications technology for high-speed trains and railway systems. This talk reports our recent progress in collaboration with CRRC Zhuzhou Institute Co. Ltd. He will reveal two advances: Free-space OptiCs Utilization in high-Speed trains (called FOCUS for short) as a new architecture and a RotAting TranscEiver scheme (RATE) to mitigate the impact of handover processes with steerable FSO transceivers in a ground-to-train communications system.

Prof. He Zhengyou

Zhengyou He, professor, PhD Tutor, the associate dean of School of Electrical Engineering, Southwest Jiaotong University, the expert who enjoys the special allowance of the State Council and obtains the National Science Fund for Distinguished Young Scholars, who is selected in the national ‘Ten Thousand Talent Program’ leading academics and Young and middle-aged leading scientists, engineers and innovators of Ministry of Science and Technology, the gainer of Program for New Century Excellent Talents in University of Ministry of Education of China, the winner of Mao Yisheng science and Technology Award, the winner of Sichuan Province Science Foundation for Distinguished Young Scholars, the top leader of Academic and technology in Sichuan Province, the leader of Sichuan Province innovation team and so on. He published SCI / EI papers more than 300 articles in the IEEE Trans and other publications and 6 academic work / teaching materials. More than 60 patents are authorized.He was honored 2 items of Second prize National Prize for Progress in Science and Technology,1 item of Second prizes Educational Prize for Progress in Science and Technology, 1 item of first Prize and two second prizes for Science and Technology in China Railway. And 2 items of second prizes for teaching achievement at the national level are awarded.

ABSTRACT:The topic of the presentation is to present a framework for systematically investigatingthe interaction performance between multiple electric trains and traction network interaction system, aiming to evaluate the serious oscillation phenomena, including low frequency oscillation, harmonic resonance and resonance instability. The train-network interaction mechanism is therefore studied. Meanwhile, a detailed coupling model for investigating the three interactive phenomena and their characteristics, mechanisms and possible mitigation schemes is presented.It mainly includes the following three parts: 
1) The phenomena, field test results and research status on low frequency oscillation, harmonic resonance and resonance instability in high speed railway are systematic summarized. 2) An impedance-based method is used for analyzing the oscillationmechanisms and influence factors of these three phenomena.3) The suppression methods of low frequency oscillation, harmonic resonance and instability are discussed.