• Proceedings of the KIEE Conference
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• summer
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• pp.1460-1462
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• 2004

기존노선을 이용한 고속화 신기술 개발사업 과제를 수행하여 중장거리 및 도시간의 교통해소를 위해 중고속 철도차량을 개발하여 최고속도 180km/h의 속도로 운행할수 있는 차량의 개발에 있어 핵심 전장품인 열차제어진단장치를 국산화하여 수입대처효과 및 기술개발에 기여하고 있다.

• Journal of the Korean Society for Railway
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• v.20 no.2
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• pp.210-222
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• 2017

Railway turnout systems play a key role in railway systems that change train directions. The turnout systems are one of the weakest systems in railway systems, and consecutive maintenance is required. A turnout diagnostic system can automatically measure the turnout status and its deterioration. To diagnose the turnout systems, we follow conventional maintenance procedures and need to identify their physical characteristics to coincide the procedures and the characteristics. According to the physical characteristics, we should choose and install adequate sensors on the turnout systems to measure their physical characteristics. We studied the phenomenon of the turnout system responses for point moving and train running on the turnout systems. We installed sensors on the turnout system in a revenue line to measure the identified physical quantities and to reveal the robustness of the sensors under the turnout system environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.782-789
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• 2020

The demand for the development of rolling stock technology to maintain the best performance in various climatic environments has increased to expand the overseas market of rolling stock. In this study, international and domestic standards that must be applied to build a harsh climatic environment test system were investigated and compared. The way of improvement for domestic standards is proposed. The wind velocities and temperatures are specified in the UIC, EN, and IEC standards for climatic wind tunnel, and EN 50125-1 provides the velocity test up to 180km/h, the largest wind speed. UIC and EN provide the lowest temperature of -45℃, and IEC 62498-1 provides the highest temperature 55℃. The solar radiation test was specified up to 1200W/m2 in the UIC, EN, and IEC. The IEC, EN, and KS R 9145 provide the water tightness standards, which are different from each other in water capacity, pressure, and methods. The snow test method was not well specified. KRTS-VE-Part 31 provides pressurization test methods. The airtightness standards for high-speed rolling stock are defined and regulated for internal pressure change rate in UIC 660 and 779-11. The domestic standard for the wind tunnel test was not well prepared, and the solar radiation test and snow test do not exist in Korea. Therefore, it is necessary to improve domestic standards to an international level for the climatic wind tunnel test of rolling stock.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.609-617
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• 2017

Railways are one of the safest and most important transportation systems in the world. On the other hand, due to the increasing complexity of the railway system and the running distance of rail vehicles, railway accidents occur continuously every year. In particular, in the case of high-speed trains and freight trains, if the function of the axle bearing is lost due to abnormal overheating of the axle box bearing, the load on the axle becomes uneven. Therefore, abnormal overheating in the train axle box bearings can cause serious accidents or derailments. For this purpose, a Hot Box Detector (HBD) was installed in the track side of a high speed line to detect abnormal overheating. This paper proposes an EWMA technique-based axle temperature monitoring method to detect abnormal overheating quickly and efficiently. A statistical design of the proposed method was also performed. The proposed method has better performance compared to the current method in the case of abnormal overheating and the performance is improved by approximately 170% at the maximum.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.7
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• pp.827-833
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• 2011

In this study, a simulation model to estimate the current-collection performance of a high-speed train was developed by using a commercial finite element analysis software, SAMCEF. A three-dimensional springDdamperDmass model of a pantograph was created, and its reliability was validated by comparing the receptance of the model to that of the actual pantograph. The wave propagation speed of the catenary model was compared with the analytical wave propagation speed of the catenary system presented in the UIC 799 OR standard. The length of the droppers was controlled, and the pre-sag of the contact wire due to gravity was considered. The catenary and the pantograph were connected by using a contact element, and the contact force variation when the pantograph was moved at velocities of 300 km/h and 370 km/h was obtained. The average, standard deviation, maximum, and minimum values of the contact force were analyzed, and the effectiveness of the developed simulation model was examined.

• Journal of the Korean Society for Railway
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• v.16 no.4
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• pp.298-304
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• 2013

This paper systematically analyzes the dynamic effects of structure approaches which are expected to have direct effects on train loads - according to the train's acceleration as the area under consideration is located in a section where acceleration of high speed railway vehicles and the train's operating speed happens. In addition, through an examination of the dynamic train loads, dynamic behavioral characteristics of embedded structures and structure approaches were analyzed and a numerical analysis has been carried out in order to evaluate the performance of track subgrade and the safety of the structure. As a result, we reach the conclusion that the dynamic effects by train loads is low, but somewhat high vertical acceleration occurs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.75-84
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• 2018

Increasing the operation rate of components and stabilizing the operation through timely management of the core parts are crucial for improving the efficiency of the railroad maintenance industry. The demand for diagnosis technology to assess the condition of rolling stock components, which employs history management and automated big data analysis, has increased to satisfy both aspects of increasing reliability and reducing the maintenance cost of the core components to cope with the trend of rapid maintenance. This study developed a big data platform-based system to manage the rolling stock component condition to acquire, process, and analyze the big data generated at onboard and wayside devices of railroad cars in real time. The system can monitor the conditions of the railroad car component and system resources in real time. The study also proposed a machine learning technique that enabled the distributed and parallel processing of the acquired big data and automatic component fault diagnosis. The test, which used the virtual instance generation system of the Amazon Web Service, proved that the algorithm applying the distributed and parallel technology decreased the runtime and confirmed the fault diagnosis model utilizing the random forest machine learning for predicting the condition of the bearing and wheel parts with 83% accuracy.

• Journal of the Korean Society for Railway
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• v.20 no.2
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• pp.223-233
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• 2017

The railway turnout system is one of the most important systems that set train routes. Turnout system integrity should be guaranteed for robust train operation. To diagnose the turnout system status, LVDT and accelerometers are installed on a turnout system in a high speed line. The LVDT and accelerometers produce signals containing physical meaning of the turnout systems. The LVDT produces the displacement of the rail gauge and vibration when point moving or a train passes on turnout systems and the accelerometer produces impact forces induced by wheel sets. We performed data extraction from the measured signals and parameterized the extracted signals into meaningful quantities. The parameters are used for classifying whether the turnout status is normal. We proposed two methods for the classification, one uses probabilistic distribution and the other artificial neuron networks. The probabilistic distribution is used for the parameter being classified by the quantities and the artificial neuron networks for the form classification. Finally, we show how to learn the normal status of a turnout system.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.870-873
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• 2008

레일패드는 궤도전체의 탄성확보 뿐만 아니라 열차하중에 의해 침목으로 전달되는 충격을 완화시켜 침목과 도상의 파손을 방지하는 역할을 하는데, 통과톤수의 증가와 기후적 요인에 의하여 패드가 열화되면 패드의 강성이 증가하게 된다. 패드의 강성이 증가하게 되면 레일을 통해 침목으로 전달되는 충격하중이 증가하게 되어 침목의 파손을 유발할 수 있을 뿐만 아니라 침목하면의 도상에도 과도한 충격하중을 전달하여 도상의 손상을 가속화시킬 수 있다. 또한 레일패드의 강성변화는 궤도의 소음과 레일의 파상마모의 진전에도 영향을 미치게 된다. 따라서 레일패드의 공용기간 중에 적정한 강성을 유지할 필요가 있으며, 통과톤수의 증가에 따른 레일패드의 경화도를 산정하는 방법과 레일패드의 경화가 궤도에 미치는 영향을 정량적으로 분석하여 레일패드의 교체주기에 관한 기준을 마련할 필요가 있다. 본 연구에서는 슬래브의 질량과 일정속도대역에서의 패드강성의 민감도분석을 하여 그 결과를 비교하고 레일패드경화에 따른 대상궤도의 동적거동을 수치해석을 통하여 패드강성과 차량주행속도에 따른 윤중의 변동량과 레일의 변위, 가속도 그리고 침목의 변위, 가속도의 변화정도를 분석해 보았다. 궤도시스템의 동적해석을 위한 해석 프로그램으로는 네덜란드 델프트 공과대학에서 개발된 궤도시스템 전용 해석 프로그램인 DARTS(The dynamic analysis of a rail track structure)를 사용하였다. 대상궤도는 국내 1단계 경부고속철도에서 사용되고 있는 3중보 무도상궤도를 사용하였다.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.55-63
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• 2022

In recent years, with the rapid development of large and medium-sized urban rail transit in China, the total operating mileage of high-speed railway and the total number of EMUs(Electric Multiple Units) are rising. The system complexity of high-speed EMU is constantly increasing, which puts forward higher requirements for the safety of equipment and the efficiency of maintenance.At present, the maintenance mode of high-speed EMU in China still adopts the post maintenance method based on planned maintenance and fault maintenance, which leads to insufficient or excessive maintenance, reduces the efficiency of equipment fault handling, and increases the maintenance cost. Based on the intelligent operation and maintenance technology of PHM(prognostics and health management). This thesis builds an integrated PHM platform of "vehicle system-communication system-ground system" by integrating multi-source heterogeneous data of different scenarios of high-speed EMU, and combines the equipment fault mechanism with artificial intelligence algorithms to build a fault prediction model for traction motors of high-speed EMU.Reliable fault prediction and accurate maintenance shall be carried out in advance to ensure safe and efficient operation of high-speed EMU.