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이준성,홍승건,박종오,채장범,박일한 대한전기학회 2020 전기학회논문지 Vol.69 No.12
The position control solenoid operated valve(SOV), which is mainly used in the exhaust system of nuclear power plants, uses a position sensor for more precise control than a generally used solenoid valve. The position of the valve plunger is transferred to the control unit, and the duty ratio of the voltage applied to the coil is adjusted through the PWM. Thus, the current of the operating SOV varies depending on the plunger position and the duty ratio. In this paper, we propose a method for diagnosing fault of the driving part of a SOV using an equivalent electric circuit. The operating current of SOV are compared with the reference current from the equivalent circuit to diagnose the fault. To take into account the dependence of the operating on the plunger position and duty ratio, the circuit parameters are calculated by repeating numerical analysis, and the resulted values are interpolated to make them a function. To verify the validity of the proposed fault diagnosis method, the major faults of SOV are implemented in a numerical analysis model and compared with the current of an equivalent circuit.
MATLAB®/Simulink® 기반 EV/PHEV용 리튬 이온 배터리 모델 파라미터 추출
김홍석(Hong-Seok Kim),홍승건(Seung-Gun Hong),전준영(Joon-Young Jeon),최규영(Gyu-Yeong Choe),이병국(Byoung-Kuk Lee) 전력전자학회 2010 전력전자학술대회 논문집 Vol.2010 No.11
본 논문에서는 쉽고 빠르게 정확한 리튬 이온 배터리 모델을 구현할 수 있는 방법을 제시하고 있으며, 구현된 모델을 MATLAB®/Simulink®환경에서 검증한다. 모델을 구현함에 있어서 절차를 간소화하기 위해 비선형 개방 전압은 배터리 충전 및 방전 전압의 평균으로 근사하고, 배터리 내부 비선형 파라미터는 방전 초기에 발생하는 과도응답을 측정한 이산 데이터를 곡선 접합하여 구한다. 구현된 모델을 이용하여 시뮬레이션을 하고 이를 실험 데이터와 비교해본 결과, 평균 절대오차는 기존 연구[4]보다 0.1% 낮은 0.091%로 측정되었다. 측정된 오차의 수준은 본 논문에서 제안한 방법이 파라미터 추출에 필요한 시간을 단축하고 시뮬레이션 모델을 쉽게 구현 가능하게 함에도 불구하고 여전히 리튬 이온 배터리의 출력 특성을 정확하게 예측함을 보여준다.
홍성국,최승준,신새암,이원목,Naina Pinto,신나리,이광준,홍승건,김영아,이혁민,김희정,송원근,이선화,용동은,이경원,장윤섭 대한진단검사의학회 2015 Annals of Laboratory Medicine Vol.35 No.6
Quality control (QC) processes are being performed in the majority of clinical microbiology laboratories to ensure the performance of microbial identification and antimicrobial susceptibility testing by using ATCC strains. To obtain these ATCC strains, some inconveniences are encountered concerning the purchase cost of the strains and the shipping time required. This study was focused on constructing a database of reference strains for QC processes using domestic bacterial strains, concentrating primarily on antimicrobial susceptibility testing. Three strains (Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus) that showed legible results in preliminary testing were selected. The minimal inhibitory concentrations (MICs) and zone diameters (ZDs) of eight antimicrobials for each strain were determined according to the CLSI M23. All resulting MIC and ZD ranges included at least 95% of the data. The ZD QC ranges obtained by using the CLSI method were less than 12 mm, and the MIC QC ranges extended no more than five dilutions. This study is a preliminary attempt to construct a bank of Korean QC strains. With further studies, a positive outcome toward cost and time reduction can be anticipated.