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PSCAD/EMTDC와 FEA를 이용한 케이블 배열 방법에 따른 전류 불균형률의 비교
신호전(Ho-Jeon Shin),김지호(Ji-Ho Kim),강갑석(Gab-Suk Kang),김재철(Jae-Chul Kim),이향범(Hyang-Beom Lee) 대한전기학회 2013 전기학회논문지 P Vol.62 No.2
In this study, samples from the site where there occurred unbalanced current when cable routing were analyzed, and the simulation program for electric power system analysis, PSCAD/EMTDC, was used to calculate the current unbalance on cable routing. Based on electromagnetic finite element analysis(FEA), electromagnetic parameters enabled the interlocking with COMSOL for the calculation of allowable current ampacity and magnetic filed distribution. This then led to modeling unbalanced current between common modes using the unbalanced current analysis program, thereby comparing and discussing the results from both. The analyzed model is a common mode 2 parallel circuit, which is a basic model for cable routing, and by arranging cables in various ways, the arrangement with the least current unbalance was suggested, which would, in the future, prevent earth faults and extend life for the whole cable.
신호선(Ho-Sun Shin),추준욱(Jun-Uk Chu),이승하(Seungha Lee),이연정(Yun-Jung Lee) 한국지능시스템학회 2003 한국지능시스템학회논문지 Vol.13 No.2
새로운 3차원 도립진자 시스템의 구현 및 퍼지제어에 관하여 논한다. 기존의 1차원 또는 2차원 도립진자 시스템과 달리, 3차원 도립진자 시스템은 상하 운동을 포함하는 인간의 도립진자 제어행위를 적절히 모사할 수 있는 새로운 시스템이다. 3차원 도립진자 시스템의 특성 분석과 퍼지제어기 설계를 위하여 3축 직교로봇과 도립진자를 포함하는 기구부의 동력학식을 유도한다. 로봇의 여유자유도와 제한된 작업영역을 고려하면서 도립진자의 요오(yaw) 및 피치(pitch)각을 제어하기 위한 퍼지제어기 설계 방법을 제안한다. 개발된 PC 기반의 다축제어보드를 이용한 실험 결과를 통하여 제안된 시스템의 성능을 검증한다. The fuzzy control and implementation of a new three-dimensional(3-D) inverted pendulum system are addressed. In comparison with conventional 1-D and 2-D systems, the 3-D inverted pendulum system is a proper benchmark system to simulate human's control action which includes the up and down motion to stabilize an inverted pendulum. To investigate the characteristics of the 3-D inverted pendulum system and to design of a fuzzy controller, we derive dynamic equations of the mechanism including a 3-axis cartesian robot and an inverted pendulum. We propose a design method of a fuzzy controller of the yaw and pitch angles of an inverted pendulum. In the design, the redundant degree-of-freedom(DOF) of the robot and the constrained workspace are taken into account. The performance of the proposed system is proved by experimental results using a developed PC-based Multi-Motion Control(MMC) board.
금강 수계 주요지류인 갑천과 미호천에서 잠정유해물질 오염원 확인 연구
이준배 ( Jun Bae Lee ),이재정 ( Jay Jung Lee ),조윤해 ( Yoon Hae Cho ),윤조희 ( Jo Hee Yoon ),홍선화 ( Seoun Hwa Hong ),이대희 ( Dae Hee Lee ),이수형 ( Soo Hyung Lee ),조영환 ( Young Hwan Cho ),신호상 ( Ho Sang Shin ) 한국환경농학회 2016 한국환경농학회지 Vol.35 No.1
BACKGROUND: Water quality is of concern to water utility operators, public health officials, and populations using the water. If any contaminant is released from a point of entry, it could be spread rapidly throughout the water stream. So the identification of the location of the points of entry and its release history are critical informations to establish the management strategy. METHODS AND RESULTS: Aniline, nonylphenol, pentachlorophenol and formaldehyde in 39 surface water samples were analysed using Gas chromatography-mass spectrometry (GC-MS) methods. Formaldehyde, aniline and nonylphenol were mainly detected in the near sites where industrial waste water and domestic sewage were discharged into stream. But pentachlorophenol was detected in the downstream samples where pulp manufacturing plants were operated. CONCLUSION: Results indicate that pentachlorophenol found in main stream of Guem river was mainly introduced from pulp manufacture industries. Otherwise, formaldehyde, aniline and nonylphenol were mainly contaminated from the industrial waste water and domestic sewage.
신호진,전은미,권도경,권준석,이철진,Shin, Ho-Jin,Jeon, Eun-Mi,Kwon, Do-kyung,Kwon, Jun-Seok,Lee, Chul-Jin 한국플랜트학회 2021 플랜트 저널 Vol.17 No.3
P&ID(Piping and Instrument Diagram)는 플랜트의 장치 및 계장 정보를 집약적으로 담고 있는, 엔지니어링 핵심도면이다. 한 장의 P&ID에는 심볼로 표현된 수백 여개의 정보들이 존재하며, 이에 대한 디지털 전산화 작업이 수작업으로 진행되고 있어 많은 인력과 시간이 소요된다. 기존 연구들은 CNN 모델을 이용하여 도면 객체 검출에 성공하였으나, 도면 한 장당 약 30분, 인식률은 90% 정도로 현장에서 구현하기에는 부족한 성능이다. 따라서 본 연구에서는 영역 검출과 객체 인식을 동시에 처리하는 1-stage 객체 검출 알고리즘을 제안하였다. 이미지 레이블링 오픈소스 툴을 이용하여 학습 데이터를 구축하고 딥러닝 모델 학습을 통해 도면 내 심볼 이미지 인식 방법을 제안한다. P&ID((Piping and Instrument Diagram) is a key drawing in the engineering industry because it contains information about the units and instrumentation of the plant. Until now, simple repetitive tasks like listing symbols in P&ID drawings have been done manually, consuming lots of time and manpower. Currently, a deep learning model based on CNN(Convolutional Neural Network) is studied for drawing object detection, but the detection time is about 30 minutes and the accuracy is about 90%, indicating performance that is not sufficient to be implemented in the real word. In this study, the detection of symbols in a drawing is performed using 1-stage object detection algorithms that process both region proposal and detection. Specifically, build the training data using the image labeling tool, and show the results of recognizing the symbol in the drawing which are trained in the deep learning model.