• 제목/요약/키워드: FDC system

검색결과 27건 처리시간 0.019초

FDC 동조제어기법을 이용한 유압-기계식 수문 제어 모니터링 (Sluice Gates Control Monitoring of Oil Pressure-Machine Using FDC Tuning Control Technique)

  • 허광희;김충길
    • 대한토목학회논문집
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    • 제30권4A호
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    • pp.337-342
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    • 2010
  • 일반적으로 하천 시설에 사용되는 수문은 기계식 및 유압식, 혼합식 권양기에 의하여 개폐되며, 구조물의 크기 및 구조상 2개 이상의 인양장치로 동조를 이루며 안전하게 개폐되어야 한다. 수문의 개폐 시 설계상 정확히 고려할 수 없는 수압 및 마찰로 인하여 구조물에 추가적인 하중이 발생하게 된다. 이러한 추가적인 하중은 수문의 끼임 현상 및 권양기의 과부하 등을 초래하고, 이는 수문의 안전에 중대한 영향을 미치게 된다. 본 논문에서는 이러한 수문의 개폐 시 발생하는 불안전한 요소에 대응하여 권양기가 동조를 이룰 수 있도록 유압 및 변위를 동시에 고려한 FDC(Force-Displacement Control)시스템을 설계하였다. 설계된 FDC 시스템을 XG5000프로그램의 PID 기능을 이용하여 구현하였으며, 다중 유압 실린더 수문 권양기(winch) 모형을 제작하여 FDC 시스템을 실험적으로 검증하였다. 실험 결과 개발한 FDC 시스템은 수문의 개폐 시 발생하는 다양한 외부하중에 대응하여, 다중 유압 실린더로 이루어진 수문 권양기가 동조를 이루며 개폐됨을 확인하였다. 실험 결과로부터 FDC 시스템은 수문 권양기에 적용시 효과적임을 확인 하였다.

부분계측 및 미계측 유역에서 기준유량 산정 방법 비교 연구 (Comparative Study on Evaluating Standard Flow in Partially Gauged and Ungauged Watershed)

  • 김경훈;김정민;정현기;임태효;김성민;김용석;서미진
    • 한국물환경학회지
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    • 제35권6호
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    • pp.481-496
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    • 2019
  • The Ministry of Environment has measured streamflow at eight-day intervals for the estimation of standard flow of the Total Maximum Daily Loads (TMDL) system. This study identified the availability of the partially measured the eight-day interval data for estimating standard flow and found the optimal extension techniques of standard flow. The study area was selected for the Nakbon-A watershed in the Nakdong River, and four streamflow record extension techniques of standard flow were considered: extension, percentile, drainagearea, and regional regression methods. The flow duration curve (FDC) using the eight-day interval streamflow data indicated very high Nash and Sutcliffe Efficiency (NSE) values above 90 % from FDC-II to FDC-VII compared to FDC-VIII, the standard FDC. This result demonstrates that FDC using daily data of three-six cumulative years could represent standard FDC fairly well. For the streamflow record extension techniques of standard flow, the percentile method was selected as the optimal alternative, showing the minimal difference from FDC-VIII. These results validate the availability of the eight-day interval streamflow data in the standard flow estimation and the application of extension techniques. It seems that these results could reduce the uncertainty of partially measured streamflow data for water quantity and quality management.

수질오염총량관리를 위한 4대강수계 장기유황곡선 작성방안 (Development of Long Term Flow Duration Curves in 4 River Basins for the Management of Total Maximum Daily Loads)

  • 박준대;오승영
    • 한국물환경학회지
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    • 제29권3호
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    • pp.343-353
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    • 2013
  • Flow duration curve (FDC) can be developed by linking the daily flow data of stream flow monitoring network to 8-day interval flow data of the unit watersheds for the management of Total Maximum Daily Loads. This study investigated the applicable method for the development of long term FDC with the selection of the stream flow reference sites, and suggested the development of the FDC in 4 river basins. Out of 142 unit watersheds in 4 river basins, 107 unit watersheds were shown to estimate daily flow data for the unit watersheds from 2006 to 2010. Short term FDC could be developed in 64 unit watersheds (45%) and long term FDC in 43 unit watersheds (30%), while other 35 unit watersheds (25%) were revealed to have difficulties in the development of FDC itself. Limits in the development of the long term FDC includes no stream monitoring sites in certain unit watersheds, short duration of stream flow data set and missing data by abnormal water level measurements on the stream flow monitoring sites. To improve these limits, it is necessary to install new monitoring sites in the required areas, to keep up continuous monitoring and make normal water level observations on the stream flow monitoring sites, and to build up a special management system to enhance data reliability. The development of long term FDC for the unit watersheds can be established appropriately with the normal and durable measurement on the selected reference sites in the stream flow monitoring network.

유량지속곡선을 이용한 수문특성별 한강수계 총량관리 단위유역의 오염기여도 추정 (Estimation of Pollution Contribution TMDL Unit Watershed in Han-River according to hydrological characteristic using Flow Duration Curve)

  • 김동영;윤춘경;이한필;최재호;황하선
    • 한국물환경학회지
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    • 제35권6호
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    • pp.497-509
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    • 2019
  • After the Total Maximum Daily Loads(TMDLs) was applied, it became beyond the limit of concentration management. However, it does not adequately reflect the characteristics of various watersheds, and causes problems with local governments because of the standard flow set. Thus, in this study, the Han River system is organized into four groups in estimating the Pollution Contribution by applying the Flow Duration Curve(FDC) created by the daily flow of data from the HSPF. And the method of this study is expected to be valuable as basic data for the TMDLs. As a result, Group I contains the main watersheds with no large hydraulic structures and tributary watersheds. There is no specificity in the FDC and the Pollution Contribution is estimated as rainfall runoff. Group II contains watersheds near the city where the FDC is maintained above a certain level during the Low Flow Conditions and the Pollution Contribution is estimated as the discharge flow of large scale point pollution facilities. Group III contains the main watersheds in which the large hydraulic structures are installed and FDC is curved in the Low Flow Conditions. So the Pollution Contribution is estimated as the water quality of the large hydraulic structures. Group IV contains the upstream in mainstream watersheds in which the large hydraulic structures are installed and the FDC is disabled before the Low Flow Conditions. As the flow is concentrated in the High Flow Conditions, the non-point pollution sources are estimated as the Pollution Contribution.

150kW급 수소연료전지 차량용 DC/DC 컨버터 개발 및 실차모사 실험 (Development of DC/DC Converters and Actual Vehicle Simulation Experiment for 150 kW Class Fuel-cell Electric Vehicle)

  • 김선주;정현주;최세완;조준호;전유종;박준성;윤혜성
    • 전력전자학회논문지
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    • 제27권1호
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    • pp.26-32
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    • 2022
  • This paper proposes a power system that includes a 120k W fuel cell DC-DC converter (FDC) and 30 kW bidirectional DC-DC converter (BHDC) for a 150 kW fuel-cell vehicle. With a high DC link voltage of 800 V, the efficiency and power density of the power electronic components are improved. Through the modular design of FDC and BHDC, electric components are shared, resulting in reduced mass production costs. The switching frequency of 30 kHz of full SiC devices and optimal design of coupled inductor reduce the volume, achieving a power density of 8.3 kW/L. Furthermore, a synergetic operation strategy using variable limiter control of FDC and BHDC was proposed to efficiently operate the fuel cell vehicle considering the fuel cell stack efficiency according to the load. Finally, the performance of the prototype was verified by Highway Fuel Economy Driving Schedule testing, EMI test, and the linked operation between FDC and BHDC. The full load efficiencies of the FDC and BHDC prototypes are 98.47% and 98.74%, respectively.

Expression of CD320 in human B cells in addition to follicular dendritic cells

  • Cho, Wha-Jung;Choi, Jin-Suk;Park, Chan-Hum;Yoon, Sun-Ok;Jeoung, Doo-Il;Kim, Young-Myeong;Choe, Jong-Seon
    • BMB Reports
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    • 제41권12호
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    • pp.863-867
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    • 2008
  • CD320 has been recently discovered and reported as a follicular dendritic cell (FDC) protein. Although CD320 is known to enhance proliferation of germinal center (GC) B cells, little other information is available. In this study, we investigated its cellular distribution in the GC. Confocal microscopy of human tonsil sections revealed co-localization of CD320 with CD19 and CD38 but not with CD3 indicating that GC B cells expressed CD320 in addition to FDC. In purified GC B cells, CD320 expression was inhibited in the nucleus, membrane and cytoplasm. Reverse transcriptase-polymerase chain reaction confirmed CD320 mRNA expression in B cells. These finding indicate that CD320 is expressed in B cells in addition to FDC, and that its GC activity may be more complicated than previously thought.

오염총량관리제 지원을 위한 유역모형 기반 유량지속곡선 및 부하지속곡선 활용방안 (Application of FDC and LDC using HSPF Model to Support Total Water Load Management System)

  • 이은정;김태근;금호준
    • 한국물환경학회지
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    • 제34권1호
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    • pp.33-45
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    • 2018
  • In this study, we discussed the application of Watershed model and Load Duration Curves (LDC) in Total Water Load Management System. The Flow Duration Curves (FDC) and the LDC were generated using the results of the daily HSPF model and analyzed on monthly or yearly flow duration variability, and non-point pollutant discharge loads by entire flow conditions. As a result of the calibration and verification of the HSPF model, both the flow and the water quality were appropriately simulated. The simulated values were used to generate the Flow Duration Curve and the Load Duration Curve, and then the excess rate by entire flow conditions was analyzed. The point and non-point pollutant discharge loads for entire flow conditions were calculated. It is possible to evaluate the variability of water quality in specific flow duration through the curves reflecting the flow duration variability and to confirm the characteristics of the pollutant source. For a more scientific Total Water Load Management System, it is necessary to switch from a current system to a system that can take into account the entire flow conditions. For this, the application of the watershed model and load duration curve is considered to be the best alternative.

스마트 설비관리시스템 구축 및 효과분석 (Implementation and Effectiveness of Smart Equipment Engineering System)

  • 심현식
    • 반도체디스플레이기술학회지
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    • 제16권3호
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    • pp.121-126
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    • 2017
  • EES System support to maximize equipment efficiency by providing real-time information of main equipment which has a significant effect on product quality and productivity, and to prevent equipment failure by detecting equipment abnormality in advance. Smart Equipment Engineering System(S-EES) integrates the activities performed at equipment that are the core of production activities and manages them by system so as to maximize the efficiency of equipment and raise the quality level of products to one level. In other words, when the product is put into the equipment, the recipe is downloaded through the RMS, the recipe is set to the optimal condition through R2R(process control), and the system detects and controls the abnormality of the equipment during operation through the FDC function in real time it means. In this way, we are working with the suitable recipe that matches the lot of product, detecting the abnormality of the equipment during operation, preventing the product from being defective, and establishing a system to maximize the efficiency through real-time equipment management. In this study, we review the present status and problems of equipment management in actual production lines, collect the requirements of the manufacturing line for the PCB line, design and develop the system, The measurement model was studied.

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비동기 설비 신호 상황에서의 강건한 공정 이상 감지 시스템 연구 (Robust Process Fault Detection System Under Asynchronous Time Series Data Situation)

  • 고종명;최자영;김창욱;선상준;이승준
    • 산업공학
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    • 제20권3호
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    • pp.288-297
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    • 2007
  • Success of semiconductor/LCD industry depends on its yield and quality of product. For the purpose, FDC (Fault Detection and Classification) system is used to diagnose fault state in main manufacturing processes by monitoring time series data collected by equipment sensors which represent various conditions of the equipment. The data set is segmented at the start and end of each product lot processing by a trigger event module. However, in practice, segmented sensor data usually have the features of data asynchronization such as different start points, end points, and data lengths. Due to the asynchronization problem, false alarm (type I error) and missed alarm (type II error) occur frequently. In this paper, we propose a robust process fault detection system by integrating a process event detection method and a similarity measuring method based on dynamic time warping algorithm. An experiment shows that the proposed system is able to recognize abnormal condition correctly under the asynchronous data situation.

기계학습 알고리즘을 이용한 UAS 제어계수 실시간 자동 조정 시스템 (UAS Automatic Control Parameter Tuning System using Machine Learning Module)

  • 문미선;송강;송동호
    • 한국항행학회논문지
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    • 제14권6호
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    • pp.874-881
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    • 2010
  • 무인기의 자동 비행 제어 시스템은 기체의 형태, 크기, 무게 등의 정적 및 동적 변화에 따라 스스로 비행계수를 조정하여 목표 비행궤적을 정확히 따라가도록 제어할 필요가 있다. 본 논문에서는 PID 제어 기법을 이용하는 비행제어시스템에 기계학습모듈(MLM)을 추가하여 기체의 특성 변화에 따라 제어계수를 비행중 실시간 자동으로 조정하는 시스템을 제안한다. MLM은 선형회귀분석과 보정학습을 이용하여 설계되었으며 MLM을 통해 학습된 제어계수의 적합성을 평가하는 평가모듈(EvM)을 함께 모델링 하였다. 이 시스템은 FDC 비버 시뮬레이터를 기반으로 실험하였으며 그 결과를 분석 제시하였다.