• 한국지진공학회논문집
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• 제24권1호
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• pp.1-8
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• 2020

In 2016, an earthquake occurred at Gyeongju, Korea. At the Wolsong site, the observed peak ground acceleration was lower than the operating basis earthquake (OBE) level of Wolsong nuclear power plant. However, the measured spectral acceleration value exceeded the spectral acceleration of the operating-basis earthquake (OBE) level in some sections of the response spectrum, resulting in a manual shutdown of the nuclear power plant. Analysis of the response spectra shape of the Gyeongju earthquake motion showed that the high-frequency components are stronger than the response spectra shape used in nuclear power plant design. Therefore, the seismic performance evaluation of structures and equipment of nuclear power plants should be made to reflect the characteristics of site-specific earthquakes. In general, the floor response spectrum shape at the installation site or the generalized response spectrum shape is used for the seismic performance evaluation of structures and equipment. In this study, a generalized response spectrum shape is proposed for seismic performance evaluation of structures and equipment for nuclear power plants. The proposed response spectrum shape reflects the characteristics of earthquake motion in Korea through earthquake hazard analysis, and it can be applied to structures and equipment at various locations.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.2192-2197
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• 2005

This paper describes how to diagnose SBR plant equipment using time-series data mining. It shows the equipment diagnostics based upon vibration signals that are acquired from each device for process control. Data transform techniques including two data preprocessing skills and data mining methods were employed in the data analysis. The proposed method is not only suitable for SBR equipment, but is also suitable for other industrial devices. The experimental results performed on a lab-scale SBR plant show a good equipment-management performance.

• 대한기계학회논문집A
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• 제38권10호
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• pp.1075-1084
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• 2014

플랜트 설계를 위해서는 기자재 카탈로그를 구축해야 한다. 기자재의 3 차원 CAD 모델은 목적에 따라 서로 다른 상세도를 가진다. 기자재 제작사는 높은 상세도를 갖는 CAD 데이터를 제공하는 반면에 플랜트 엔지니어링사는 낮은 상세도를 가지는 CAD 데이터가 필요하다. 이와 같은 문제를 해결하기 위해서 기자재 3D CAD 조립체 데이터를 자동으로 간략화하는 시스템을 개발하였다. 이 논문에서는 간략화 시스템의 구조, 상세 기능과 함께 카탈로그 생성을 위한 중립 데이터 형식을 제안한다. 그리고 프로토타입 시스템을 이용한 간략화 실험 결과를 설명한다.

• 설비공학논문집
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• 제25권7호
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• pp.392-397
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• 2013

To fulfill the demands concerning energy efficiency for zero energy buildings, various technologies of architects and engineers are required. This study aims to estimate the thermal performance of heat source equipment in which part load characteristics are considered in an office building. Overestimation of heat source equipment was reviewed through literature survey, and heating and cooling loads depending on the capacity and division of the equipment were analyzed through a simulation program (DOE-2.1E). The conclusions gained from this study are as follows; 1) The more the division of equipment, the less the heating and cooling energy consumption. 2) When a large item of equipment is divided into two small items of equipment, the optimum application rate showed as 5:5 for chiller, and 7:3 for boiler, respectively.

• 반도체디스플레이기술학회지
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• 제21권4호
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• pp.168-173
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• 2022

As the function of a product is advanced and the process is refined, the yield in the fine manufacturing process becomes an important variable that determines the cost and quality of the product. Since a fine manufacturing process generally produces a product through many steps, it is difficult to find which process or equipment has a defect, and thus it is practically difficult to ensure a high yield. This paper presents the system architecture of how to build a smart manufacturing system to analyze the big data of the manufacturing plant, and the equipment factor analysis methodology to increase the yield of products in the smart manufacturing system. In order to improve the yield of the product, it is necessary to analyze the defect factor that causes the low yield among the numerous factors of the equipment, and find and manage the equipment factor that affects the defect factor. This study analyzed the key factors of abnormal equipment that affect the yield of products in the manufacturing process using the data mining technique. Eventually, a methodology for finding key factors of abnormal equipment that directly affect the yield of products in smart manufacturing systems is presented. The methodology presented in this study was applied to the actual manufacturing plant to confirm the effect of key factors of important facilities on yield.

• Journal of Computational Design and Engineering
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• 제1권1호
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• pp.13-26
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• 2014

Recently, renovations of plant equipment have been more frequent because of the shortened lifespans of the products, and as-built models from large-scale laser-scanned data is expected to streamline rebuilding processes. However, the laser-scanned data of an existing plant has an enormous amount of points, captures intricate objects, and includes a high noise level, so the manual reconstruction of a 3D model is very time-consuming and costly. Among plant equipment, piping systems account for the greatest proportion. Therefore, the purpose of this research was to propose an algorithm which could automatically recognize a piping system from the terrestrial laser-scanned data of plant equipment. The straight portion of pipes, connecting parts, and connection relationship of the piping system can be recognized in this algorithm. Normal-based region growing and cylinder surface fitting can extract all possible locations of pipes, including straight pipes, elbows, and junctions. Tracing the axes of a piping system enables the recognition of the positions of these elements and their connection relationship. Using only point clouds, the recognition algorithm can be performed in a fully automatic way. The algorithm was applied to large-scale scanned data of an oil rig and a chemical plant. Recognition rates of about 86%, 88%, and 71% were achieved straight pipes, elbows, and junctions, respectively.

• 에너지공학
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• 제22권3호
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• pp.283-286
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• 2013

전력사업자의 요청, 경제적인 요인 또는 기타 요인에 따라 기존 발전소의 설계개념 변경 없이 발전소의 전기출력을 증가 또는 감소시켜 발전소를 재설계하는 경우가 종종 있다. 이때 노심출력 및 전기출력을 변경시켜 재설계되는 발전소의 설비들의 가격을 예측할 경우, 시장에서 견적을 받을 환경이 아닐 경우에는 기존발전소 설비들의 가격에 비용보정계수(Cost Scaling Factor)를 적용하여 새로 설계되는 발전소 설비들에 비용들을 계산할 수 있다. 이에 미국의 DOE, EPRI, ABB, SWEC 기관들의 발전소 용량변경에 따른 비용보정계수를 검토하고, 그것을 국내 PWR 1000MWe, 1400MWe에 적용한 결과를 소개하고자 한다.

• 한국화재소방학회논문지
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• 제32권1호
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• pp.57-65
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• 2018

본 연구에서는 다중오동작을 포함하고 있는 화재안전정지분석 교육자료를 개발하기 위하여 가상원전에서의 화재안전정지분석을 결정론적 화재분석코드를 사용하여 수행하였다. 교육용 가상원전은 원자로건물과 보조건물로 이루어졌고, 총 22개의 방화지역으로 구성되었다. 교육용 가상원전의 각 방화지역에는 밸브, 펌프, 비상디젤발전기, 스위치기어, 모터제어반, 로직컨트롤러 등의 기기가 배치되었다. 교육용 가상원전 기기들은 두 개의 케이블로 연결되었으며, 각 케이블은 케이블 트레이를 따라서 방화지역을 지나간다고 가정했다. 방화지역분석을 위해 교육용 가상원전에 대한 기기 및 케이블 정보를 데이터베이스화하였고, 다중오동작 시나리오, 기기로직 및 케이블로직을 가정하여 방화지역분석을 수행하였다. 방화지역 분석결과 문제가 되는 케이블과 케이블 트레이에 대해서 3시간 내화성능으로 케이블을 래핑하는 완화조치를 적용하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.232-234
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• 2003

In this treatise, we research hardware and software for measurement of most suitable condition of the plant growth. that is part of the future oriented that plant growing system. The environment cannot offer the most suitable condition of the plant growth. so we are approached most suitable condition of the plant growth by adjustment of artificial condition of the plant growth but in theses experiment includes some fault that is subjectivity of observation. therefor we develop vision equipment and software for objective observation measurement.

• 한국CDE학회논문집
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• 제14권1호
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• pp.1-9
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• 2009

ISO 15926 is an international standard for the representation of process plant lifecycle data. However, it is not easy to implement the part 2-data model and the part 4-initial reference data because of their complexity in terms of data structure and shortages of related development toolkits. To overcome this problem, ISO 15926-7(part 7) is under development. ISO 15926-7 specifies implementation methods for sharing and exchange of process plant lifecycle data, which is based on semantic web technologies such as OWL, Web Services, and SPARQL. For the application of ISO 15926-7, this paper discusses how to represent technical specifications of process plant equipment by defining user-defined reference data and object information model with an example of reactor coolant pumps located in the reactor coolant system of an APR 1400 nuclear power plant.