• Title/Summary/Keyword: EMU (Electronic Multiple Unit)

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Development of Environment Assessment Software for Electronic Multiple Unit (EMU) (전동차 환경성 평가 S/W RACE의 개발)

  • Kim, Yong-Ki;Lee, Jae-Young;Lee, Cheul-Kyu;Eun, Jong-Hwan
    • Journal of the Korean Society for Railway
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    • v.11 no.3
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    • pp.211-215
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    • 2008
  • Generally, an EMU (Electronic Multiple Unit) is manufactured by assembling a large number of components and parts with extensive raw materials. Throughout its entire life cycle, much both the complicated system and long operating period. Therefore, it is necessary to the environmental performance of EMUs from raw materials to waste. In this study, RACE (Rail Assessment for Clean Environment) was developed as the software that can analyze the environmental RACE had several LCI (Life Cycle Inventory) database for main components as well as principal materials in EMUs. In the future, RACE can also be used as a tool for environmental communication between manufacturers and operators. Also, we will improve RACE continuously to assess more easily the environment of rolling stocks EMU for user.

The Effect of Regenerative Energy Storage System on Stabilization of Electro-Pneumatic Braking Blending (회생에너지 저장시스템이 제동 브랜딩 안정화에 미치는 영향)

  • Kim, Kyu-Joong;Lee, Keun-Oh
    • Journal of the Korean Society of Safety
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    • v.25 no.5
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    • pp.15-21
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    • 2010
  • Regenerative Energy Storage System(ESS) is a system that saves regenerative energy which generated instantly in the regenerative braking of Electric Multiple Unit(EMU) and disappear, and reuse the stored energy when EMU is in powering. Such system related to a research field of renewable energy which emerged concerning climate change and high oil prices. In the case of existing domestic rolling stock, about 25% to 30% of generated regenerative energy is restored to power source and is regarded as direct factor of raising catenary voltage. Such rapid change of catenary voltage is a cause of the failure of EMU's electronic equipment and lowering its reliability and is also a cause of train's fault occurred by tripping circuit breaker. In this paper, we intend to investigate the effect on blending characteristics of electric-braking and pneumatic-braking whether the regenerative energy storage system is used or not in urban transit DC 1,500V feeding system, while trains run. And we also intend to investigate its effect on stabilization of the blending, fluctuation of catenary voltage and various electric equipments.

Ripple Analysis and Control of Electric Multiple Unit Traction Drives under a Fluctuating DC Link Voltage

  • Diao, Li-Jun;Dong, Kan;Yin, Shao-Bo;Tang, Jing;Chen, Jie
    • Journal of Power Electronics
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    • v.16 no.5
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    • pp.1851-1860
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    • 2016
  • The traction motors in electric multiple unit (EMU) trains are powered by AC-DC-AC converters, and the DC link voltage is generated by single phase PWM converters, with a fluctuation component under twice the frequency of the input catenary AC grid, which causes fluctuations in the motor torque and current. Traditionally, heavy and low-efficiency hardware LC resonant filters parallel in the DC side are adopted to reduce the ripple effect. In this paper, an analytical model of the ripple phenomenon is derived and analyzed in the frequency domain, and a ripple control scheme compensating the slip frequency of rotor vector control systems without a hardware filter is applied to reduce the torque and current ripple amplitude. Then a relatively simple discretization method is chosen to discretize the algorithm with a high discrete accuracy. Simulation and experimental results validate the proposed ripple control strategy.

Analysis of EMU Installation and Yard Test for Communication Based Train Control On-board Equipment (무선통신기반 차상제어장치의 전동차 시험 분석)

  • Baek, Jong-Hyen;Kim, Yong-Kyu;Lee, Chang-Goo;Park, Jae-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.5
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    • pp.935-941
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    • 2009
  • In this paper, we study the communication based train control technology which has been improved for the railroad operation efficiency. All the signalling systems currently used in Korea are track circuit based train control systems, which train mobility and safety are considered on. When it comes to the recent abroad trend, development for communication based train control system, which arises new paradigm in the field of high density train separation, have been promoted. Considering the urgent necessity to develop the above mentioned technology, we would like to propose the research and development of communication based train control system and the present domestic and foreign statuses of on-board equipment development. In this paper, therefore, we had been developed localization on-board equipment of communication based train control system, which is the key construction of train control systems. For its verification, we accomplished installation and yard test on-board equipment of communication based train control system on Bundang-line's EMU(Electrical Multiple Unit).

Classification of stator coil degradation of traction motor by PD signal distribution analysis (PD 분포 분석에 의한 견인전동기 고정자 코일의 열화도 분류에 관한 연구)

  • Park, Seong-Hee;Lim, Jong-Ho;Jang, Dong-Uk;Park, Hyun-June;Kang, Seong-Hwa;Lim, Kee-Joe
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.07b
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    • pp.1183-1186
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    • 2004
  • Degradation and insulation failure of traction motor depend on the continuous stress imposed on it. And knowing on insulation condition is important thing for safety operation of EMU(electric multiple unit). In this paper, PD(partial discharge) characteristics for degradation analysis of stator coil is studied. For PD data acquisition, two models are made; one is normal condition coil, the other is aged condition coil. And PD data for discrimination were acquired from PD detector. And these data making use of a computer-aided discharge analyser, statistical and other discharge parameters is calculated to discrimination between different discharge sources. And also these parameter is applied to classify PD sources by neural networks. Neural Networks has good recognition rate for degradation of stator coil.

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