• 제목/요약/키워드: Best maintenance

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APPLICATION OF MONITORING, DIAGNOSIS, AND PROGNOSIS IN THERMAL PERFORMANCE ANALYSIS FOR NUCLEAR POWER PLANTS

  • Kim, Hyeonmin;Na, Man Gyun;Heo, Gyunyoung
    • Nuclear Engineering and Technology
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    • 제46권6호
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    • pp.737-752
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    • 2014
  • As condition-based maintenance (CBM) has risen as a new trend, there has been an active movement to apply information technology for effective implementation of CBM in power plants. This motivation is widespread in operations and maintenance, including monitoring, diagnosis, prognosis, and decision-making on asset management. Thermal efficiency analysis in nuclear power plants (NPPs) is a longstanding concern being updated with new methodologies in an advanced IT environment. It is also a prominent way to differentiate competitiveness in terms of operations and maintenance costs. Although thermal performance tests implemented using industrial codes and standards can provide officially trustworthy results, they are essentially resource-consuming and maybe even a hind-sighted technique rather than a foresighted one, considering their periodicity. Therefore, if more accurate performance monitoring can be achieved using advanced data analysis techniques, we can expect more optimized operations and maintenance. This paper proposes a framework and describes associated methodologies for in-situ thermal performance analysis, which differs from conventional performance monitoring. The methodologies are effective for monitoring, diagnosis, and prognosis in pursuit of CBM. Our enabling techniques cover the intelligent removal of random and systematic errors, deviation detection between a best condition and a currently measured condition, degradation diagnosis using a structured knowledge base, and prognosis for decision-making about maintenance tasks. We also discuss how our new methods can be incorporated with existing performance tests. We provide guidance and directions for developers and end-users interested in in-situ thermal performance management, particularly in NPPs with large steam turbines.

유지관리 계측에 의한 터널 콘크리트 라이닝의 응력 분석 (Stress Analysis of Tunnel Concrete Lining for Maintenance Monitoring)

  • 우종태;이송
    • 콘크리트학회논문집
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    • 제14권3호
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    • pp.341-348
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    • 2002
  • 유지관리 계측은 터널 구조물의 지속적인 안전성 확인과 최적의 유지관리가 되도록 객관적이고 연속적인 자료제공을 목적으로 한다. 최근 들어 각종 터널에 적용하는 사례가 급속하게 증가되고 있으나, 현재까지 터널에서 장기간 측정된 계측실적도 적고, 합리적인 분석방법 연구도 전무한 실정이다. 본 연구에서는 장기간 계측이 수행된 지하철 풍화대 통과 터널의 계측결과를 회귀분석하여 터널의 최종 지보재인 콘크리트 라이닝의 응력과 철근응력의 상관관계를 파악하였다. 또한, 터널 콘크리트 라이닝의 응력과 안전성의 분석을 통하여 유지관리 계측 빈도 및 관리 기준치의 현장 적용성을 검토하였다.

노후 학교건물의 유지관리비용 정책 평가를 위한 시스템 다이내믹스 모델 (A System Dynamics Model for Evaluation of Maintenance Cost Policy in Deteriorated School Building)

  • 강수현;김상용
    • 대한건축학회논문집:구조계
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    • 제35권12호
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    • pp.181-188
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    • 2019
  • The maintenance of school building is pivotal issue. However, it is difficult to obtain basic analysis data for LCC(Lifecycle Cost) analysis and maintenance planning of school building. Therefore, this study proposed System Dynamics(SD) techniques to make maintenance decisions for school building. The interaction between the major parameters related to the aging of a building, maintenance activities, and cost were expressed in Causal Loop Diagram. Based on this, the formula for the relationship between causal maps was defined and converted to Stock and Flow Diagram. Through the completed SD model the 50-year plan of 214 educational building were tested by considered in account budget, maintainability, and budget allocation opinions. As a result, the integrated SD model demonstrated that it can support strategic decision making by identifying the status class and LCC behavior of school buildings by scenario. According to the scenario analysis, the rehabilitation action of preventive maintenance that primarily repairs the buildings in condition grade C showed the best performance improvement effect relative to the cost. Therefore, if the proposed SD model is expanded to consider the effects of other educational policies, the crucial performance improvement budget can be estimated in the long-term perspective.

터빈설비의 정비이력을 이용한 고장확률 예측 및 정비주기 설정에의 응용 (Determination of Maintenance Period and Failure Probability for Turbine Using Maintenance Record)

  • 송기욱;구재량;최우성
    • 대한기계학회논문집A
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    • 제34권9호
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    • pp.1325-1330
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    • 2010
  • 터빈설비 각 중요부품의 고장은 발전정지라는 큰 파급효과를 유발하며, 예기치 못한 고장으로 설비의 이용률이 감소하게 되면 막대한 경제적 손실이 발생한다. 현재 발전설비는 제작사에서 제시한 정비주기를 기준으로 보수적인 예방정비를 실시하고 있으나, 급변하는 경영환경에서 경쟁력을 유지하기 위해서는 신뢰도를 유지하면서 정비비용을 절감하는 신뢰도 기반 정비방법을 도입 해야 할 필요가 있다. 신뢰성 있는 정비주기를 선정하기 위해서는 설비의 고장이력에 대한 면밀한 분석을 통하여 고장확률을 예측해야 한다. 본 논문은 발전설비 중 터빈 각 부품들의 고장이력을 데이터베이스로 만들고, Weibull 함수를 이용하여 최적의 정비시점을 예측하며, 정비주기를 결정하는 방법에 대하여 연구하였다.

학교 BTL사업의 활성화를 위한 학교시설의 수선주기와 수선율 및 내용연수 산정에 관한 연구 -서울시내 초·중·고등학교를 중심으로- (A Study on Standard Repair Periods, Repair Rates of School Facilities for Revitalizing of the School BTL Project)

  • 하호성
    • 교육녹색환경연구
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    • 제6권1호
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    • pp.60-84
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    • 2007
  • This study purpose is seeing that the independent standard sufficiently reflecting the characteristics of the school facility as the basic material needed to calculate the maintenance and repair expenses is needed to make a more realistic and valid qualitative VFM analysis of the school BTL project. this study attempted to develop the standard for the repair cycle and rate and economic year of the school facility. The quantitative VFM analysis should be conducted based on the repair cycle and repair rate proper to the school facility, not the residential space, when calculating the maintenance and repair expenses of the operating expenses of the school facility. An attempt was made to calculate the repair cycle, repair rate and economic life of 114 component materials of the school facility judged to be able to explain the school field best. And it was confirmed that the repair and maintenance expenses more is needed to be set by about 35% than the existing maintenance and repair expenses.

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Simulation 기반 우편집중국 최적운영 방안 (Optimal Operational Schemes of Mailing Center based on Simulation)

  • 남윤석;이홍철
    • 산업공학
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    • 제13권4호
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    • pp.680-687
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    • 2000
  • The objectives of this research are to establish the operation scheduling and the preventive maintenance system in order to optimize the operation of mailing center. For the optimal operation scheduling of mailing process, the existing workflow of mailing process and that of required time are investigated prior to simulation modeling. The simulation experiments are conducted to increase the nextday delivery rate. The best alternative whose nextday delivery rate up to 100% is selected based the AHP(Analytic Hierarchy Process) method. The optimal work scheduling of all mailing centers are also presented. In addition, the CMMS(Computerized Maintenance Management System) for preventive maintenance is introduced for efficient operation of highly automated facilities of mailing center.

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Is the Peak-Affect Important in Fast Processing of Visual Images in Printed Ads?: A Comparative Study on the Affect Integration Theories

  • Bu, Kyunghee;Lee, Luri
    • Asia Marketing Journal
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    • 제24권3호
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    • pp.96-108
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    • 2022
  • This study investigates how affects elicited by visual images in print ads are integrated to form a liking for the ads. Assuming a sequential rather than simultaneous processing of still-cut images, we adopt the 'think-aloud' method to capture consumers' spontaneous responses to visual images. We hypothesize that not only would consumers show mixed affects toward a still-cut visual image but that they would also integrate their serial affects heuristically rather than simply averaging the affects as suggested by the compensatory hypothesis. By comparing the effects of two contradictory affect integration hypotheses (i.e., peak-affect and mood-maintenance) with compensatory integration, using a single regression model, we found that peak-negative along with mood maintenance integration of serial affects for a print ad works best in the formation of ad liking. The results also support our initial premise that people can have mixed valence even toward a still-cut ad.

Best Practice on Inspecting the Abnormal State of Bridge (Engineering works) Establishment with Augmented Reality (AR) Mechanism

  • Janghwan Kim;So Young Moon;R. Young Chul Kim
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권2호
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    • pp.168-174
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    • 2023
  • In the current world, with the massive scale of SOC construction, it is difficult to diagnose and check all of a bridge's abnormal states with even the experts' eyes for maintenance. It is because we should spend huge costs and time on maintenance. Still, there are not many alternative ways to inspect bridges remotely regarding accuracy or reality. Therefore, we remark on the advantages and disadvantages of previous methods through practices in SOC maintenance. To inspect the abnormal state of the Bridge, we suggest inspecting bridges with an Augmented Reality (AR) mechanism to reduce cost, human resource consumption, and the risk of work. Through the proposed approach, we expect that it provides ways to solve massive construction problems with software-based technologies.

Implementing an Application Tool of Life Cycle Cost Analysis (LCCA) for Highway Maintenance and Rehabilitation in California, USA

  • Kim, Changmo;Lee, Eul-Bum
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.376-380
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    • 2015
  • Life-Cycle Cost Analysis (LCCA) for highway projects is known as an effective analytical technique that uses economic principles to evaluate long-term alternative investment options, especially for comparing the values of alternative pavement design structures and construction strategies. In the Unites States, the 2012 Moving Ahead for Progress in the 21st Century Act (MAP-21) amended the United States Code to mandate that the United States Government Accountability Office (GOA) conducts a study of the best practices for calculating life-cycle costs and benefits for the federally funded highway projects in 2013. The RealCost 2.5CA program was developed and adapted as an official LCCA tool to comply with regulatory requirements for California state highway projects in 2013. Utilization of this California-customized LCCA software helps Caltrans to achieve substantial economic benefits (agency cost and road user cost savings) for highway projects. Proper implementation of LCCA for roadway construction and rehabilitation would deliver noticeable savings of agency's roadway maintenance cost especially in developing counties where financial difficulties exist.

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대학생들의 의복 처분 결정요인에 대한 분석 (An Analysis on College Students′ Clothing Disposal Determinants)

  • 홍연숙
    • 복식문화연구
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    • 제6권2호
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    • pp.92-108
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    • 1998
  • The purpose of this study was designed a) to examine the relative importance for college students' clothing disposal causes and their factor structure: b) to test the effects of gender, clothing satisfaction and family income on clothing disposal determinants; and c) to assess the relationship between clothing purchase determinants and overall clothing satisfaction and clothing disposal determinants. Data (n=660) were collected from college students in Cheju Do. The survey questionnaire composed of a revised Clothing Disposal Determinants Scale, Clothing Purchase Determinants Scale and background variables. First, the most important reasons for clothing disposal were to unfit with body change, get washed our and raise nap on clothe, wornout with long-term use, do not ware for new purchasing clothe, uneasy on wear. Second, factor analysis of the revised Clothing Disposal Determinants Scale revealed five factors; unfitness, fashion change, quality dissatisfaction, product efficiency decrement, and maintenance/inconvenience. Third, female students perceived significantly higher in fashion change and unfitness than male students. Forth, unfitness and product efficiency decrement were significantly discriminated between between clothing satisfaction groups, unfitness and fashion change variables were significantly discriminated between family income groups. fifth, impulsive purchase factor was the best predictor of composite clothing disposal measure, followed by individuality, clothing satisfaction, practicality. The best predictors of each disposal factors were individuality oriented purchasing criterion in unfitness factor. Fashion in fashion change, impulsive purchase in quality dissatisfaction and product efficiency decrement factors, and practicality in maintenance/inconvenience factor. As a whole, the most consistent predictor of clothing disposal determinants was impulsive purchase factor.

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