• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.1227-1232
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• 2008

High-speed train of push-pull type called as G7 train has been developed and chosen as the model of KTX-II which will be operated on Honam Line nexr year. However, the EMU-type high-speed train appeared to be the recent trend that foreign markets have shown. Also, in the near future, a great number of new train sets are needed to accommodate the increased passengers in our country. Thus, development of the high-speed EMU was decided, planned, and started. In the development, included were almost all fundamental key technologies such as noise and vibration reduction in a passenger cabin, running characteristics, aerodynamic analysis, crashworthiness evaluation, EMI/EMC analysis, design of the cooling system for the propulsion control system, enhanced performance of transformer and switching converters, synchronous traction motor with permanent magnets, new design of front nose and ergonomic interiors, application of advanced information technology(IT) and smart sensors and the cost reduction of construction of railway bridges, etc. Each key technologies are carried out as sub-project independently but under the supervision of a project. The project will develop the high advanced level of technologies and provide necessary know-why's and support the team in charge of the development of the high-speed EMU, Hyundai Rotem Co. Ltd. The high-speed EMU will be successfully developed with the support of the project.

• Smart Structures and Systems
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• 제21권5호
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• pp.705-713
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• 2018

High-speed rail (HSR) has been in operation and development in many countries worldwide. The explosive growth of HSR has posed great challenges for operation safety and ride comfort. Among various technological demands on high-speed trains, vibration is an inevitable problem caused by rail/wheel imperfections, vehicle dynamics, and aerodynamic instability. Ride comfort is a key factor in evaluating the operational performance of high-speed trains. In this study, online monitoring data have been acquired from an in-service high-speed train for condition assessment. The measured dynamic response signals at the floor level of a train cabin are processed by the Sperling operator, in which the ride comfort index sequence is used to identify the train's operation condition. In addition, a novel technique that incorporates salient features of Bayesian inference and time series analysis is proposed for outlier detection and change detection. The Bayesian forecasting approach enables the prediction of conditional probabilities. By integrating the Bayesian forecasting approach with time series analysis, one-step forecasting probability density functions (PDFs) can be obtained before proceeding to the next observation. The change detection is conducted by comparing the current model and the alternative model (whose mean value is shifted by a prescribed offset) to determine which one can well fit the actual observation. When the comparison results indicate that the alternative model performs better, then a potential change is detected. If the current observation is a potential outlier or change, Bayes factor and cumulative Bayes factor are derived for further identification. A significant change, if identified, implies that there is a great alteration in the train operation performance due to defects. In this study, two illustrative cases are provided to demonstrate the performance of the proposed method for condition assessment of high-speed trains.

• 한국항행학회논문지
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• 제22권4호
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• pp.288-294
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• 2018

항공기의 엔터테인먼트 시스템은 고정된 모니터를 사용하는 대신에 승객 개인의 휴대용 전자기기를 사용하는 형태로 그 패러다임이 바뀌었다. 이로 인해 기내 설비는 간소해진 반면 휴대용 전자기기들의 전기 충전으로 안전에 대한 리스크는 증가되었다. 송신 기능이 없는 개인 휴대전자기기와 달리 와이파이 기능이 있는 전자기기(T-PED)의 사용이 허용되고 기내에서 배터리의 충전도 요구된다. 본 연구에서는 기내 무선 환경과 엔터테인먼트 서비스의 변화에 따른 영향을 조사하기 위해 NASA 항공안전보고시스템을 이용하여 기내 전자기기 사용 관련 자료를 분석하였다. 이를 기초로 하여, 항공기 안전관리 관점에서 비행 중에 발생된 객실 전자장비나 승객 휴대용 전자기기(특히 스마트폰)로 인한 이벤트 발생 사례를 공유하여 개인용 전자기기의 위험성을 분석하였다. 이러한 분석을 위해 잠재적 위해요인의 식별과 리스크 평가 작업이 수행되었으며, 최종적으로 휴대용 전자기기의 안전한 사용을 위한 리스크 완화 전략이 제시되었다.