• Title/Summary/Keyword: operation and maintenance

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Failure Analysis of Train Control System for Hign Speed Line by CAMS (CAMS에 의한 고속선 열차제어시스템의 장애 분석)

  • Kim, Yong-Kyu;Baek, Jong-Hyun;Kim, Jong-Ki;Shin, Duck-Ho
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.973-974
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    • 2006
  • In this paper, Computer-aided Maintenance Equipments, which are being used in maintenance, are applied to analyze failures in train control systems, resulting in long time delays of trains. It can be expected to extend and apply CAMS (Computer Aided Maintenance System) in the hereafter efficient operation and maintenance of high-speed railway train control systems, by comparison between the analysis result of fundamental causes, from high-speed railway train control system failures occurred during the operational process, and predictive result of failure causes, based on the recording data of CAMS when failures were occurred.

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A Study on the Development of Propulsion Control Simulator for Maintenance Training of Railway Vehicle (철도차량 유지보수 훈련용 추진제어장치 시뮬레이터 개발에 관한 연구)

  • Kim, Bo-Sung;Jung, No-Geon;Kim, Jae-Moon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.10
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    • pp.1528-1534
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    • 2015
  • This paper designed the railway vehicle running device with a proto-type for the railway vehicle maintenance training and developed a propulsion control device simulator equipped the imitation steering wheel. In addition, this paper applied a multi-thread technology in order to implement the staged fault and the propulsion control device protected operation test and an implementation of the failure that occur in actual rail vehicle and confirm the validity as the propulsion control device simulator for the maintenance training.

A Study on Estimating the Next Failure Time of LNG FPSO Compressor (해양플랜트 LNG FPSO 압축기의 신뢰성 및 회귀분석 기반 고장시점 추정 방법)

  • Cho, Sang-Jae;Jun, Hong-Bae;Shin, Jong-Ho;Choi, Sang-Deok
    • Korean Journal of Computational Design and Engineering
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    • v.19 no.3
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    • pp.203-213
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    • 2014
  • The O&M (Operation and Maintenance) phase of offshore plants with a long life cycle requires heavy charges and more efforts than the construction phase, and the occurrence of an accident of an offshore plant causes catastrophic damage. So previous studies have focused on design for reliability, and recently many studies have dealt with a maintenance system to prevent unexpected failures. Nowadays due to the emerging ICTs (Information Communication Technologies) and sensor technologies, it is possible to send health monitoring information of important equipment to administrator of an offshore plant in real time, which leads to having much concern on condition based maintenance policy or predictive maintenance. In this study, we have reviewed previous studies associated with condition-based maintenance of offshore plants, and introduced the approaches predicting failures of the compressor which is one of essential mechanical devices in LNG FPSO.

On the Establishment of LSTM-based Predictive Maintenance Platform to Secure The Operational Reliability of ICT/Cold-Chain Unmanned Storage

  • Sunwoo Hwang;Youngmin Kim
    • International journal of advanced smart convergence
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    • v.12 no.3
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    • pp.221-232
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    • 2023
  • Recently, due to the expansion of the logistics industry, demand for logistics automation equipment is increasing. The modern logistics industry is a high-tech industry that combines various technologies. In general, as various technologies are grafted, the complexity of the system increases, and the occurrence rate of defects and failures also increases. As such, it is time for a predictive maintenance model specialized for logistics automation equipment. In this paper, in order to secure the operational reliability of the ICT/Cold-Chain Unmanned Storage, a predictive maintenance system was implemented based on the LSTM model. In this paper, a server for data management, such as collection and monitoring, and an analysis server that notifies the monitoring server through data-based failure and defect analysis are separately distinguished. The predictive maintenance platform presented in this paper works by collecting data and receiving data based on RabbitMQ, loading data in an InMemory method using Redis, and managing snapshot data DB in real time. The predictive maintenance platform can contribute to securing reliability by identifying potential failures and defects that may occur in the operation of the ICT/Cold-Chain Unmanned Storage in the future.

Effect of test-caused degradation on the unavailability of standby safety components

  • S. Parsaei;A. Pirouzmand;M.R. Nematollahi;A. Ahmadi;K. Hadad
    • Nuclear Engineering and Technology
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    • v.56 no.2
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    • pp.526-535
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    • 2024
  • This paper proposes a safety-critical standby component unavailability model that contains aging effects caused by the elapsed time from installation, component degradation due to surveillance tests, and imperfect maintenance actions. An application of the model to a Motor-Operated Valve and a Motor-Driven Pump involved in the HPIS of a VVER/1000-V446 nuclear power plant is demonstrated and compared with other existing models at component and system levels. In addition, the effects of different unavailability models are reflected in the NPP's risk criterion, i.e., core damage frequency, over five maintenance periods. The results show that, compared with other models that do not simultaneously consider the full effects of degradation and maintenance impacts, the proposed model realistically evaluates the unavailabilities of the safety-related components and the involved systems as a plant age function. Therefore, it can effectively reflect the age-dependent CDF impact of a given testing and maintenance policy in a specified time horizon.

PREDICTION OF FAULT TREND IN A LNG PLANT USING WAVELET TRANSFORM AND ARIMA MODEL

  • Yeonjong Ju;Changyoon Kim;Hyoungkwan Kim
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.388-392
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    • 2009
  • Operation of LNG (Liquefied Natural Gas) plants requires an effective maintenance strategy. To this end, the long-term and short-term trend of faults, such as mechanical and electrical troubles, should be identified so as to take proactive approach for ensuring the smooth and productive operation. However, it is not an easy task to predict the fault trend in LNG plants. Many variables and unexpected conditions make it quite difficult for the facility manager to be well prepared for future faulty conditions. This paper presents a model to predict the fault trend in a LNG plant. ARIMA (Auto-Regressive Integrated Moving Average) model is combined with Wavelet Transform to enhance the prediction capability of the proposed model. Test results show the potential of the proposed model for the preventive maintenance strategy.

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3-D Graphical Model-Based Design and Control of Automated Equipment (3차원 그래픽 모델에 근거한 자동화 장비의 설계 및 조종)

  • Seo Jongwon;Haas Carl
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.188-191
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    • 2002
  • This paper concerns 3-D graphical modeling and simulation techniques for design and control of automated equipment for construction and facility maintenance. A case study on the use of 3-D graphics techniques for developing a power plant maintenance robot is presented. By simulating equipment operation within the 3-D geometry models of the work environment the environment design was improved. The 3-D graphical models of the equipment and the work environment were further utilized for the control of the robot from a remote distance. By presenting the real-time updated equipment configuration and the work environment to the operator, the graphical model-based equipment control system helped the operator overcome the problems associated with spatial perception. The collision between the robot and the plant structures was also avoided based the real-time analysis of the dynamically updated graphical models.

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A Study on the Monitoring Evaluation of Elementary School Complex Facilities - Focusing on Elementary Schools in Seoul - (초등학교 복합화시설 모니터링 평가연구 - 서울시 초등학교를 중심으로 -)

  • Mok, Jeong-Hun
    • Journal of the Korean Institute of Educational Facilities
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    • v.16 no.5
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    • pp.3-10
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    • 2009
  • The purpose of this study is to provide an remodification method for elementary school complex facilities in Seoul Metropolitan city. This study analyzes the questionnaire survey for 568 entire elementary schools and the questionnaire survey for school facility complex project operated 44 elementary schools. Then the result of this study was deduced from the comparison between the 568 entire survey data and 44 survey data in terms of the cognition of school facility complex project, the required type of facility and the problems of complex facility maintenance and operation. Four major findings were revealed as the result of research. First, there is a very high agreement with the school facility complex projects. Second, it was need that the process of planning and design was remodified to enhance participation of parents of students and local residents for selecting an appropriate complex facility. Third, education environment and student safety should be protected from any other school facility complex environments. Fourth, an agreement and regulation is needed for more effective maintenance and operation of school complex facilities.

Korean Maintainability Prediction Methodology Reflecting System Complexity (시스템 복잡도를 반영한 한국형 정비도 예측 방법론)

  • Kwon, Jae-Eon;Hur, Jang-Wook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.4
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    • pp.119-126
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    • 2021
  • During the development of a weapon system, the concept of maintainability is used for quantitatively predicting and analyzing the maintenance time. However, owing to the complexity of a weapon system, the standard maintenance time predicted during the system's development differs significantly from the measured time during the operation of the equipment after the system's development. According to the analysis presented in this paper, the maintenance time can be predicted by considering the system's complexity on the basis of the military specifications, and the procedure can be Part B of Procedure II and Method B of Procedure V. The maintenance work elements affected by the system complexity were identified by the analytic hierarchy process technique, and the system-complexity-reflecting weights of the maintenance work elements were calculated by the Delphi method, which involves expert surveys. Based on MIL-HDBK-470A and MIL-HDBK-472, it is going to present a Korean-style maintainability prediction method that reflects system complexity of weapons systems.

A Study on the Maintenance Method of the Local Government Standard Records Management System (자치단체 표준기록관리시스템 유지관리 방안 연구)

  • Oh, Jinkwan;Yim, Jinhee
    • Journal of Korean Society of Archives and Records Management
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    • v.22 no.2
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    • pp.135-154
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    • 2022
  • Through this study, the following proposals were made to secure the operability of local governments' records management systems (RMSs). First, for the stable operation and maintenance of RMS, establishing a noninterruptible system with regular operation support is necessary. Second, improving the maintenance quality above a certain level by establishing an integrated RMS maintenance system is imperative. Third, systematically managing the RMS infrastructure compatibility list should be vital to provide clear standards for maintaining local governments' RMS structure.