• Proceedings of the KSR Conference
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• 2009.05a
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• pp.1179-1186
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• 2009

The high-speed train(KTX) was operated in domestic since 2004 and 4years have been passed since then. At the beginning most of the KTX component maintenance period was followed by the France SNCF. It was settled by the TBO(Time Between Overhauls). But the environment and operation condition are different form each other, so the TBO maintenance period can be different in some component. Therefore new TBO is necessary based on our own circumstances. This paper introduces failure analysis case on some components to set TBO in domestic. KTX-RCM(Reliability Centered Maintenance System), MICS(Maintenance Information Computer System) and KOVIS(KORAIL ERP System) Data was investigated.

• Journal of the Korean Society for Railway
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• v.20 no.5
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• pp.569-576
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• 2017

The electromagnetic valve of pneumatic doors of EMUs has a high failure rate due to air leakage because it supplies air on and off to operate the doors repeatedly. The electromagnetic valve is a very important safety component for which a very high reliability is required because failure makes it impossible to operate the passenger cars. However, domestic urban railway operators maintain electronic valves of the EMU door under a fixed cycle with a spare period according to the full overhaul cycle of the EMU. An improvement of the current maintenance cycle was suggested based on the reliability function and mission reliability. Using the statistical program MINITAB for the operational data of EMU line 6, we analyzed the characteristics of the fault distribution and derived the shape and scale parameters of the reliability function. If we limit the specific reliability probability to under a certain failure rate and calculate its statistical parameters, we can calculate the allowable inspection period with mission reliability. Through this study, we suggested a maintenance period based on RCM (reliability centered-maintenance) to improve the reliability of electromagnetic valves from 68% to 95%.

• Proceedings of the Safety Management and Science Conference
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• 2010.11a
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• pp.651-668
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• 2010

철도 시스템은 차량, 전력, 신호, 선로구축물시스템이 유기적으로 결합된 복합시스템으로 사고 발생 시 원인규명이 어렵고 인명에 치명적인 결과를 초래하게 되며 사소한 고장이라도 열차지연에 미치는 파급효과는 지대하여 시스템의 신뢰성확보가 매우 중요하다[26]. 실제로 세계 각국의 철도산업은 시스템의 신뢰성 향상을 위해 신뢰성 기법에 기반을 둔 다양한 이론을 통해 신뢰성 향상과 안전성 향상에 최선을 다하고 있다. 본 연구에서는 철도 신뢰성관리와 관련된 국내 연구동향과 철도 운영기관 및 기업에서 적용하고 있는 신뢰성 적용 현황을 분석한다. 그리고 국외 연구 동향과 주요 적용 현황을 정리한다. 또한 철도 신뢰성과 관련된 국내외 규격을 조사하고 이들 규격의 내용을 분석한 후 국내 적용방향을 제시한다.

• Journal of the Korean Society for Precision Engineering
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• v.27 no.5
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• pp.36-47
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• 2010

The Korean Railroad Research Institute (KRRI) has developed the rubber tired AGT system (Model: K-AGT) between 1999 and 2005. The K-AGT is a light rail transit system does not require a driver and generally operates on an elevated railroad for transporting passengers. Accidents caused by driverless vehicles can severely affect social confidence, safety and economy therefore, it is very important to minimize the occurrences of such faults, and to accurately perform detailed maintenance tasks and thoroughly investigate the cause of any repeated failures. This research develops the web-based Preventive Maintenance (PM) system for the KAGT train system. The framework of the PM system is based on performing a reliability analysis and a failure mode effects analyses (FMEA) procedure on all the sub-systems in the K-AGT system. Out of the devices that have a low reliability, the high failure ranked devices are included high in the list for performing the overall maintenance plans. Through registration of historical failure data, the reliability indexes can be updated. Such a process is repeated continuously and can achieve very accurate predictions for device operational life times and failure rates. Therefore, this research describes the development of the overall PM system consists of a reliability analysis module, a failure mode effect analysis module, and maintenance request module.

• International Journal of Quality Innovation
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• v.7 no.2
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• pp.97-124
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• 2006

The purpose of this research is to create an expert risk-based piping system inspection model. The proposed system includes a risk-based piping inspection system and a piping inspection guideline system. The research procedure consists of three parts: the risk-based inspection model, the risk-based piping inspection model, and the piping inspection guideline system model. In this research procedure, a field plant visit is conducted to collect the related domestic information (Taiwan) and foreign standards and regulations for creating a strategic risk-based piping inspection and analysis system in accordance with the piping damage characteristics in the petrochemical industry. In accordance with various piping damage models and damage positions, petrochemical plants provide the optimal piping inspection planning tool for efficient piping risk prediction for enhancing plant operation safety.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.495-504
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• 2009

As the Reliability Centered Maintenance(RCM) is being studied, maintenance tasks can be performed effectively through the Risk Priority Number(RPN) evaluation about the components in the system. The RPN is usually calculated through arithmetical operations of three values, Severity, Occurrence, and Detection for each facility. This RPN provides information that includes risk level of the facility and the priority order of maintenance tasks for facility. However, if there is no sufficient historical failure data, it is difficult to calculate the RPN. In this case, historical failure data from other sources can be used and apply this data to korean railway system. In this paper, it is proposed that a new methodology to model the failure rate as a fuzzy membership function. This method is based on failure data from other sources by means of the fuzzy theory and the expert opinion system. And considering assessment tendency of each expert, distortions that happened when the failure rate of facilities is estimated were minimized. This results determine Occurrence values of facilities. Taking advantage of this result., the RPN can be calculated with Severity and Detection of facilities by using the fuzzy operation. The proposed method is applied the rail-way power substation.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.6
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• pp.629-633
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• 2011

Recently, systems such as aircraft, trains and ships have become larger more complex. Therefore, the reliability calculation of these systems is more difficult. This paper presents a reliability calculation algorithm for a complex system with a solution that is difficult to analyze. When the system has a very complex structure, it is very difficult to find an analytical solution. In this case, we can assess system reliability using the failure enumeration method of the reliability path. In this research, we represent the reliability block diagram by an adjacent matrix and define the reliability path. We can find any system status by the failure enumeration of the reliability path, and thus we can calculate any kind of system reliability through this process. This result can be applied to RCM (Reliability-Centered Maintenance) and reliability information-management systems, in which the system reliability is composed of the reliabilities of individual parts.

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.249-251
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• 2005

전력 산업구조개편으로 인하여 전력회사의 민영화가 진행됨에 따라 전력회사에서는 한정된 예산으로 배전계통을 운영함으로써 유지보수를 위한 충분한 여유가 없어지게 될 것이다. 이러한 환경에서 한정된 비용으로 계통의 신뢰도를 일정 수준 이상으로 유지해야만 하는 문제에 직면하게 되며, 이는 매우 어려운 일이다. 이를 위해서는 최소의 비용으로 최대의 유지보수 효과를 낼 수 있는 방법을 개발해야 하며, 최적의 유지보수 주기를 찾는 것이 중요한 문제라 할 수 있다. 본 논문에서는 이런 문제론 해결하기 위해, 유지보수 기기 선정 및 유지보수 주기를 결정하는데 있어 검증된 기법인 Reliability Centered Maintenance (RCM) 기법을 이용하였다. 배전계통 기기의 유지보수에 있어서 Four-state Markov 모델을 이용하여 기기의 유지보수에 드는 비용과 기기의 고장에 의한 정전비용 사이의 trade-off를 고려하여 총 비용이 최소가 되는 최적의 유지보수 주기를 찾고자 한다. 이를 위하여 기존의 모델에서 평균고장률(mean failure rate)을 사용한 것과는 달리 시변 고장률(time-varying failure rate)을 적용하였으며, 또한 유지보수에 따른 고장률의 감소도 고려함으로써 최적의 유지보수 주기를 결정할 수 있었다.

• Journal of the Korean Society for Railway
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• v.19 no.5
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• pp.672-684
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• 2016

UIC Codes 714R & 715R recommend the use of line classifications and their usage in maintenance work by employing notional traffic loads. However, the classification has not been applied to local lines and, therefore, a new line classification system based on UIC 714R has been proposed in this study. For this, various classification models of UIC, Germany, and UK have been studied first and equivalent traffic loads based on Korail's report, as well as on train timetables, have been derived. The results of the classifications have been compared with those of major European countries and it has been shown that the proposed classification is equivalent to the average value in the European cases. The line classification can be fully utilized during the decision making process of maintenance work and will also be used to model the Reliability Centered Maintenance (RCM) in the future.