• 한국자동차공학회논문집
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• 제13권5호
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• pp.7-18
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• 2005

Over the past twenty years, the maintenance system has been developed and its importance has been increased. For the effective maintenance of the urban transit, we have developed the maintenance system based on the concept of RCM(Reliability Centered Maintenance). RCM analysis is a systematic approach to developing a cost-effective maintenance strategy based on the various components's reliability of the system in question. It is performed according to process that includes the following steps; definition of function and functional failures of the systems, construction of RB D(Reliability Block Diagram), performance of FMEA(Failure Modes & Effects Analysis) and calculation of the reliability index. The final process of RCM is to determine appropriate failure maintenance strategies. This paper aims to define the procedure of maintenace based on the concept of RCM for urban transit. The key for a successful maintenance system is an automated scheduling to the maximum extent possible and timely executions. The developed system issues maintenance plan and repair request based on analyzed data and maintenance experience.

• 한국환경복원기술학회지
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• 제25권4호
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• pp.15-31
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• 2022

The Green Purification Unit System (GPUS) is a green infrastructure facility applicable to the roadside to reduce particulate matter from road traffic. This study introduces two types of GPUS (type1 and type2) and assesses the performance and maintenance costs of each of them. The GPUS's performance analysis used the data collected in November 2021 after the installation of the GPUS type1 and type2 at the study site in Suwon. The changes in the particulate matter concentration near the GPUS were measured. The maintenance cost of GPUS type1 and type2 was assessed by calculating the initial installation cost and the management and repair cost after installation. The results of the performance analysis showed that the GPUS type1, which was manufactured by combining plants and electric dust collectors, had a superior particulate matter reduction performance. In particular, type1 produced a greater effect of particulate matter reduction in the time with a high concentration (50㎍/m³ or higher) of particulate matter due to the operation of electric dust collectors. GPUS type2, which was designed in the form of a plant wall without applying an electric dust collector, showed lower reduction performance than type1 but showed sufficiently improved performance compared to the existing band green area. Meanwhile, the GPUS type1 had three times higher costs for the initial installation than GPUS type2. In terms of costs for managing and repairing, it was evaluated that type1 would be slightly more costly than type2. Finally, this study discussed the applicability of two types of GPUS based on the result of the analysis of their particulate matter performance and maintenance cost at the same time. Since GPUS type2 has a cheaper cost than type1, it could be more economical. However, in the area suffering a high concentration of particulate matter, GPUS type1 would be more effective than type2. Therefore, the choice of GPUS types should rely on the status of particulate matter concentration in the area where GPUS is being installed.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.881-895
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• 2011

Seoul Metro railway facilities' inspection and maintenance tasks cause failure analysis, but if there is trouble the diverse cause investigation and the systematic analysis and management among broken facilities, related facilities and components fell short and the conditions are different. And, excess and insufficiency, under inspection and maintenance, is being raised regardless of the introduction year and the operating environment including the number of use by applying the same facilities in the uniform inspection cycle. In this study, we will analysis systematically facility system information, failures, operational status, performance, fault and maintenance information resulting from the maintenance management of railway facilities and derive the relationship between associated equipment and its components. In addition, optimizing the inspection and the maintenance cycles of railway facilities, we will improve the reliability of operation. Considering the probability of risk, it is possible to predict the occurrence of accidents or faults and to minimize the frequency of breakdown by pre-inspection maintenance. Finally, This paper is to introduce the content of constructing the Seoul Metro RCM-based failure analysis system for railway facilities to support the optimal continuance of operation status of equipments and the securement of the safe operation of vehicles.

• 전기학회논문지
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• 제56권8호
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• pp.1382-1389
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• 2007

This paper presents a new approach for solving the problem of maintenance scheduling of generating units using a binary particle swarm optimization (BPSO). In this paper, we find the optimal solution of the maintenance scheduling of generating units within a specific time horizon using a binary particle swarm optimization algorithm, which is the discrete version of a conventional particle swarm optimization. It is shown that the BPSO method proposed in this paper is effective in obtaining feasible solutions in the maintenance scheduling of generating unit. IEEE reliability test systems(1996) including 32-generators are selected as a sample system for the application of the proposed algorithm. From the result, we can conclude that the BPSO can find the optimal solution of the maintenance scheduling of the generating unit with the desirable degree of accuracy and computation time, compared to other heuristic search algorithm such as genetic algorithms. It is also envisaged that BPSO can be easily implemented for similar optimizations and scheduling problems in power system problems to obtain better solutions and improve convergence performance.

• 산업경영시스템학회지
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• 제45권3호
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• pp.18-30
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• 2022

Predicting remaining useful life (RUL) becomes significant to implement prognostics and health management of industrial systems. The relevant studies have contributed to creating RUL prediction models and validating their acceptable performance; however, they are confined to drive reasonable preventive maintenance strategies derived from and connected with such predictive models. This paper proposes a data-driven preventive maintenance method that predicts RUL of industrial systems and determines the optimal replacement time intervals to lead to cost minimization in preventive maintenance. The proposed method comprises: (1) generating RUL prediction models through learning historical process data by using machine learning techniques including random forest and extreme gradient boosting, and (2) applying the system failure time derived from the RUL prediction models to the Weibull distribution-based minimum-repair block replacement model for finding the cost-optimal block replacement time. The paper includes a case study to demonstrate the feasibility of the proposed method using an open dataset, wherein sensor data are generated and recorded from turbofan engine systems.

• 한국재난정보학회 논문집
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• 제16권2호
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• pp.411-419
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• 2020

연구목적: 본 연구는 건축물 및 교통 시설물 등에 사용중인 강재류가 시간에 흐름에 따라 부식이 발생됨에 따라 부식된 강재의 성능을 향상시키고 유지보수 효율성을 확보하기 위해 수분 경화형 방식 코팅액을 개발하였고, 그 성능 시험을 통해 최적의 성분 배율을 결정하도록 하였다. 연구방법: 연구를 위하여 다양한 배율의 코팅액에 대해 내식성 평가, 물리적 성질 평가, 저장안전성 평가 등을 시행하여 그 결과를 분석하였다. 연구결과: 분석결과 마그네슘을 추가로 첨가한 액체에서 컷팅 부위에 발청이 거의 없어 방식효과가 우수하였고, 블리스터 발생도 거의 없어 가장 우수한 배율로 분석되었다. 결론: 본 연구를 통해 그 성능이 인정된 수분 경화형 방식 코팅액에 대해 향후 새로운 성분 배율 실험을 통한 기능 향상과 시행 확대를 위한 제도적 개선 노력이 필요하다.

• 한국구조물진단유지관리공학회 논문집
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• 제19권3호
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• pp.1-9
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• 2015

전 세계적으로 노후교량이 급증함에 따라 교량 신설 뿐만 아니라 교체 및 유지관리의 중요성이 강조되고 있다. 기존 교량의 교체 및 신설에 주로 적용되고 있는 현장타설바닥판은 초기균열로 인한 품질저하 우려, 인건비 상승, 보수 및 교체의 어려움, 공기 증가 그리고 도심지 교통체증으로 인한 간접비용 증가 등 여러 문제점을 내포하고 있다. 반면에 공장에서 사전 제작후 현장에서 조립되는 프리캐스트 바닥판 공법은 공장제작으로 품질확보, 급속시공이 가능하므로 기존 현장타설 바닥판의 효과적인 대안으로 제시되고 있다. 이러한 프리캐스트 바닥판은 바닥판간 이음부가 균열 및 누수 등으로 가장 취약하므로 소요강도와 내구성을 확보할 수 있는 바닥판 간 이음부 연결기술이 중요하다. 본 연구에서는 기존공법을 개선한 요철형 이음단면을 갖는 프리캐스트 교량 바닥판을 제안하고 이음형식별 요소실험을 통해 휨성능을 비교 및 검증하였다.

• Journal of Positioning, Navigation, and Timing
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• 제12권1호
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• pp.83-89
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• 2023

The Korea Augmentation Satellite System (KASS) system is a Satellite Based Augmentation System (SBAS) under development to provide APV-I SBAS service in the Republic of Korea. The KASS ground segment generates correction and integrity information for GPS measurements of KASS users using the accurate positions of KASS Reference Station (KRS) antenna phase centers. For this reason, the accuracy of KRS reference points through geodetic survey campaigns is one of the important factors for providing the KASS service in compliance with the required navigation performance. In order to obtain accurate positions, two geodetic survey campaigns were performed at several reference points, such as Mark, Center of Mast at Ground Level (CMGL), and Center of Hole in Top Plate (CHTP), of each KRS site using three different survey methods, the Virtual Reference Station (VRS), Flächen Korrektur Parameter (FKP), and raw data post-processing methods. By comparing and analyzing the results, the computed coordinates of the reference points were verified and Antenna Phase Center (APC) positions were calculated using KRS Antenna Reference Point (ARP) data, and the first KASS Site Acceptance Test (SAT#1) was performed successfully using the verified APC coordinates. After the first site survey activities, the KASS operators should maintain the coordinates with the required performance such that the overall KASS navigation performance commitment is guaranteed during the lifetime of 15 years. Therefore, the maintenance plan for the KRS antenna coordinates should be developed before the commissioning of KASS operation planned after 2023. Therefore, this paper presents a geodetic survey method selected for the maintenance activities and provides the rationale for using this method.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 춘계학술대회 논문집
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• pp.167-172
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• 2011

Generally, the analysis of railroad wear data is most effective method for the efficient railway maintenance. The wear of railway track affects loss of rough ride, noise or vibration of train and traveling safety. Moreover as the track is worn away, this promotes destruction of structural mechanism of rail track which can bring about increasing of rail track maintenance cost drastically. For this reason, it is very important and interested research subject to design railway track structure and to analyse train movement mechanism based on systematic analysis of the reasons causing rail wear possible in real field. In this research, for the efficient maintenance, Life Cycle Performance of rail track and maintenance characteristics are computed considering some track components such as track type, contracting type, sleeper type and roadbed type. Time - Wear probabilistic distribution relationship as well as multiple regression analysis based on time, curvature and wear data are computed to predict the service life remainder of railway track and to be adapted to safety assessment.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 춘계학술대회 논문집
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• pp.1450-1459
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• 2007

Line type rigid bearings for Open-Steel-Plate-Girder railway bridges have several problem in service, and they are unstable structurally. Thus, spherical bearings having advanced maintenance capability and device to resistance up-lift are developed and replace the existing ones. A experiment of maintenance for a new placed spherical bearings under real Open-Steel-Plate-Girder bridge is conducted and their good maintenance performance is proved. The dynamic behavior of the bridge is measured and analyzed for the two cases of the existing and replacing bearings. Therefore, the effect of the new spherical bearings on the railway bridge is assessed.