• Title/Summary/Keyword: 예측 유지보수

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Numerical Analysis on Depressurization of High Pressure Carbon Dioxide Pipeline (고압 이산화탄소 파이프라인의 감압거동 특성에 관한 수치해석적 연구)

  • Huh, Cheol;Cho, Meang Ik;Kang, Seong Gil
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.19 no.1
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    • pp.52-61
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    • 2016
  • To inject huge amount of $CO_2$ for CCS application, high pressure pipeline transport is accompanied. Rapid depressurization of $CO_2$ pipeline is required in case of transient processes such as accident and maintenance. In this study, numerical analysis on the depressurization of high pressure $CO_2$ pipeline was carried out. The prediction capability of the numerical model was evaluated by comparing the benchmark experiments. The numerical models well predicted the liquid-vapor two-phase depressurization. On the other hands, there were some limitations in predicting the temperature behavior during the supercritical, liquid phase and gaseous phase expansions.

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

  • Song, Gee-Wook;Koo, Jae-Raeyang;Choi, Woo-Sung
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.9
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    • pp.1325-1330
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    • 2010
  • The breakdown of any critical component of a turbine results in the outage of power plants. Unexpected failure decreases equipment utilization and causes enormous economic losses. Currently, we conduct conservative preventive maintenance for a maintenance period that is proposed by a vendor. In the rapidly changing business environment, reliability-based maintenance is required in order to remain competitive and reduce maintenance costs while maintaining the reliability of equipment. In order to determine an appropriate maintenance period for guaranteeing reliability, we must determine the failure probability by carefully analyzing the failure history of the equipment. In this study, we created a database of failure history for power-plant turbines, predicted the best repair time using the Weibull function, and investigated how the appropriate maintenance cycle can be determined.

A Development of Automatic Quantification System of C&D Waste By Using 3D Objects. (3D Object를 활용한 건설폐기물의 자동화산정 시스템 개발)

  • Kim, Chang-Hak;Lee, Kyoung-Hee;Kim, Hyo-Jin
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.388-391
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    • 2008
  • The Domestic housing Industry has to give consequence to the redevelopment and rebuilding of existing housings rather than the supply by developing a new building site, and now those tendencies are rapidly spreading out. Also, because apartment buildings occupies 50% over of the existing housing, its maintenance, repair, remodeling and reconstruction got to be necessary area for the slumming prevention of a residential area and the disaster prevention occurred by durability lowering of the building. It is increasing the interest for reusing and recycling of C&D waste. The government is doing efforts to diminish amount of C&D waste. But there couldn't find any efforts for developing Integrated system to manage and to estimate lightly generated amounts of C&D waste. So, this study presents a integrated computer system that can estimate easily quantity of C&D waste by using CAD draw and 3D Object.

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Estimation of Carbonation and Service Life of Box Culvert for Power Transmission Line (박스형 전력구의 콘크리트 탄산화에 의한 잔존수명 예측)

  • Woo, Sang Kyun;Lee, Yun;Yi, Seong Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.16 no.4
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    • pp.116-121
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    • 2012
  • The construction of underground structures such as box culverts for electric power transmission is increasing more and more, and the life extension of these structures is very important. Carbonation-induced corrosion in concrete may often occur in a high carbon dioxide environment. In this study, the risk of carbonation of two concrete box culverts in an urban area was evaluated by measuring the carbonation rate and concrete cover depth. Then, the carbonation-free service life at the depth of the steel was calculated, based on in situ information, by the Monte Carlo simulation. The service life of box culvert due to carbonation was estimated over 250 years via Monte Carlo simulation.

Development of Optimal Rehabilitation Model for Water Distribution System Based on Prediction of Pipe Deterioration (I) - Theory and Development of Model - (상수관로의 노후도 예측에 근거한 최적 개량 모형의 개발 (I) - 이론 및 모형개발 -)

  • Kim, Eung-Seok
    • Journal of Korea Water Resources Association
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    • v.36 no.1
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    • pp.45-59
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    • 2003
  • The method in this study, which is more efficiency than the existing method, propose the optimal rehabilitation model based on the deterioration prediction of the laying pipe by using the deterioration survey method of the water distribution system. The deterioration prediction model divides the deterioration degree of each pipe into 5 degree by using the probabilistic neural network. Also, the optimal residual durability is estimated by the calculated deterioration degree in each pipe and pipe diameter. The optimal rehabilitation model by integer programming base on the shortest path can calculate a time and cost of maintenance, rehabilitation, and replacement. Also, the model is divided into budget constraint and no budget constraint. Consequently, the model proposed by the study can be utilized as the quantitative method for the management of the water distribution system.

Efficient Grid-Independent ESS Control System by Prediction of Energy Production Consumption (에너지 생산량 소비량 예측을 통한 효율적인 계통 독립형 ESS 제어 시스템)

  • Joo, Jong-Yul;Oh, Jae-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.1
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    • pp.155-160
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    • 2019
  • In this paper, we propose an efficient grid-independent ESS control system through the control of renewable energy and agricultural ICT by utilizing the prediction of energy production and consumption. The proposed system is an integrated management system that can perform maintenance and monitoring by visualizing the accurate phase and data of power system. It can automatically cope, collect, process, and control the data. Also, it can analyze the power generation of solar power generation, consumption pattern of installed facilities, and operation trend of facilities. Further, it can predict the consumption of energy production and present the optimal energy management method by using the OpenAPI of the Korea Meteorological Administration, thereby reducing unnecessary energy consumption and operating cost.

Proactive Virtual Network Function Live Migration using Machine Learning (머신러닝을 이용한 선제적 VNF Live Migration)

  • Jeong, Seyeon;Yoo, Jae-Hyoung;Hong, James Won-Ki
    • KNOM Review
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    • v.24 no.1
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    • pp.1-12
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    • 2021
  • VM (Virtual Machine) live migration is a server virtualization technique for deploying a running VM to another server node while minimizing downtime of a service the VM provides. Currently, in cloud data centers, VM live migration is widely used to apply load balancing on CPU workload and network traffic, to reduce electricity consumption by consolidating active VMs into specific location groups of servers, and to provide uninterrupted service during the maintenance of hardware and software update on servers. It is critical to use VMlive migration as a prevention or mitigation measure for possible failure when its indications are detected or predicted. In this paper, we propose two VNF live migration methods; one for predictive load balancing and the other for a proactive measure in failure. Both need machine learning models that learn periodic monitoring data of resource usage and logs from servers and VMs/VNFs. We apply the second method to a vEPC (Virtual Evolved Pakcet Core) failure scenario to provide a detailed case study.

A Case Study of Estimating Units of Deconstruction Waste by Each Parts for the Apartment (공동주택의 분별해체를 위한 부위별 원단위 산정사례연구)

  • Kim, Chang Hak;Lee, Kyoung Hee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.1D
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    • pp.73-81
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    • 2008
  • Hereafter, the domestic housing industry has to give consequence to the redevelopment and rebuilding of existing housings rather than the supply by developing a new building site, and now those tendencies are rapidly spreading out. Also, because apartment buildings occupies 50% over of the existing housing, its maintenance, repair, remodeling and reconstruction got to be necessary area for the slumming prevention of a residential area and the disaster prevention occurred by durability lowering of the building. Accordingly, C&D waste is rising largely by reason of demolition works in city is increasing. The right management of C&D waste is being one of very important things, but little research has been conducted to estimate correctly C&D waste. In this study is to suggest standard units of C&D waste which can estimate demolition quantity of apartment. This units can estimate easily and correctly C&D waste in demolition works, also can possible use very important material to carry out policy of national waste management.

Developments of performance-based assessment technique for existing tunnels (공용중인 터널의 성능중심 평가기법 개발)

  • An, Jai-Wook;Kim, Hong-Kyoon
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.18 no.6
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    • pp.525-533
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    • 2016
  • The purpose of current tunnel maintenance system in South Korea is safety-based maintenance system for accident prevention, So it is difficult to conduct a strategic maintenance. The development of a new maintenance system can lead to effective investment of limited financial and it's effort is still in progress. In this study, to develop a performance-based assessment method, indexes for assessment are derived taking into account the safety, durability and serviceability. The indexes for performance-based assessment were selected by a literature analysis and a delphi survey. Then the importance among indexes were calculated by the AHP analysis.

Development of an Economic Evaluation model for Coating System Based on Environmental Conditions of Power Generation Structure (발전구조물의 환경조건을 반영한 도장계 선정 경제성 평가 모델 개발)

  • Kim, In Tae;Lee, Su Young;An, Jin Hee;Kim, Chang Hak
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.40 no.1
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    • pp.77-85
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    • 2020
  • Currently, life-cycle cost analysis methods are introduced to maintain large infrastructure facilities in Korea. However, there are not many cases in which maintenance models are applied that reflect conditions such as the location of a facility and its surroundings. In order to establish an appropriate maintenance strategy, a cost prediction, deterioration model, and a decision model reflecting uncertainty should be established. In this study, an economic analysis model was developed for long-term cost planning and management based on user decisions based on maintenance methods and judgment criteria for painting specifications applied to power generation structures. The performance of the paintwork was assessed through the paint deterioration test for the application of the economic analysis model, and the results of the economic analysis according to the applied paint specifications (Urethan, polysiloxane, fluorine) were verified by applying the proposed economic analysis model. In this study, it is believed that the selection of the repair cycle and evaluation methods applied with the development model rather than the performance of the painting can be expected to be used as basic data for the maintenance cycle, even if it is not limited to the painting.