• Journal of the KSME
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• v.33 no.6
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• pp.515-522
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• 1993

센서는 자연현상을 감지하는 소자로 계측 및 제어시스템의 구성요소로 이용되며, 센서를 이용 하여 Closed-loop System의 구성을 가능케 하며, 지능화된 시스템을 구현 할 수 있다. 센서는 압력, 유량, 온도, 자장, 광 등을 측정하는 물리적 센서, pH, 이온, 산소 등의 구성물을 감지하는 화학센서, 인체의 혈당량, 뇌의 상태, 냄새 등을 측정하는 바이오 센서로 대별될 수 있다. 이중 물리적 센서는 기계적 시스템에 많이 이용되며, 특히 압력, 유량센서는 자동차에 있어서 엔진의 Manifold, 엔진오일, 브레이크 오일, 타이어, 연료 등의 상태를 측정하는데 사용되고 있다. 예를 들어 1980년대에는 미국 Ford와 Motorola사가 공동으로 반도체공정 기술을 이용한 용량 형(capacitive) 압력센서를 개발하여 엔진의 컨트롤시스템에 이용하였다. 이러한 압력센서는 1988년에 15억불의 매출을 기록하였으며, 1955년에는 30억불로 늘어날 전망으로 있어 가장 많이 사용되는 센서로 각광을 받고 있다. 이글에서 압력센서의 원리 및 종류에 대하여 알아보고, 마 이크로머시닝 기술 등의 제작방법과 이의 응용에 대하여 논의하려 한다.

• Transactions of The Korea Fluid Power Systems Society
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• v.3 no.1
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• pp.15-19
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• 2006

In this study, a measurement method of leakage flow-rate for pneumatic driving apparatus is proposed. The existing measurement methods of leakage flow-rate of air need disassemble the test component. Therefore, there is no effective method to measure the leakage flow-rate while operating pneumatic driving apparatus. In this study, the leakage flow-rate is measure from the pressure change in an isothermal chamber that can realize isothermal conditions by stuffing steel wool into it. Therefore, wide range of flow-rate could be measured only from the pressure response and the leakage flow-rate can be measured during operating pneumatic driving apparatus. The effectiveness of the proposed method is proved by experimental results.

• Transactions of The Korea Fluid Power Systems Society
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• v.1 no.2
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• pp.1-7
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• 2004

In-process diagnosis is essential to achieve predictive maintenance in industrial plants. An in- process diagnosis method was proposed for hydraulic servo systems, which was based upon leakage flow measurement. Leakage due to servovalve wear was analysed and modeled mathematically far computer simulation work. The key idea of diagnosis algorithm is that when monitoring signals, such as servovalve input and load displacement are in steady states, the return-line flow of hydraulic servo systems can be regarded as null-leakage of servovalve. Virtual experiments were performed to ensure effectiveness of the proposed diagnosis method.

• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.257-258
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• 2007

이 논문에서는 자동차 공기청정기의 성능을 테스트하기 위한 자동화 시험 장치를 설계 및 구현하였다. 기존의 수동시험장치의 경우 정확한 유량 조절이 불가능하여 성능시험평가결과에 오차가 크고 시험과정이 불편하였다. 본 논문에서는 신뢰성 높고, 자동제어가 가능한 시스템을 설계하기 위하여 유량센서, 압력센서, 온도 센서, 습도 센서들의 데이터를 데이터 수집 장치를 통해 수집하고, 컴퓨터 기반의 제어 및 계측 프로그램인 LabVIEW를 이용하여 제어 및 모니터링 프로그램을 제작하였다. 그래픽 기반의 LabVIEW를 이용함으로써, 사용자에게 편리한 인터페이스를 제공하고, 기존의 수동 시스템보다 정확한 성능테스트 데이터를 제공함으로써, 에어필터의 품질향상이 되도록 하기 위한 성능 테스트 장치를 제작한다.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.11 no.6
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• pp.60-67
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• 2002

A precise measurement of field test was performed to estimate the thermal performance of the forced convection electric air heater by experiment. Air temperature, flow rate and electrical power input were measured with the related measurement sensors, and acquisition methods for the measured data were studied to estimate the thermal performance of the tested air heater effectively. To determine the mean air temperature at the flow cross-section, measuring positions were chosen by considering the flow velocity profile and the equally divided cross-sectional area. From the experimental results, thermal efficiency was obtained accurately as an indication of the tested heating system performance.

• Water for future
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• v.22 no.4
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• pp.423-433
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• 1989

In this study, more exact runoff phenomina of the watersheds were comprehended and the relationships between geographical factors of the selected watershed and the unit hydrograph characteristic variables representing runoff processes, were also established. Moreover, the estimation of the adequate design flood was presented, which is needed for the design of the hydrologic structures in the ungauged watersheds. And owing to these results, it is considered to be possible to execute the effective flood control projects of the river and the efficient water resources management.

• Plant Journal
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• v.13 no.4
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• pp.38-40
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• 2017

This study is for stabilization of the water balance of the closed cooling water system. The pipe network analysis program is used for the water balance review, and the resistance factor correction is performed through the field measurement with the ultrasonic flowmeter to improve the reliability of the pipe network software. Based on this, it is aimed to derive optimal driving method through various case simulations.

• Journal of the Korean Society of Visualization
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• v.19 no.1
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• pp.94-99
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• 2021

In order to increase the efficiency of thermoelectric refrigerators using the Peltier effect, it is necessary to optimize the distribution of the flow of cold air from the fan. In this study, the flow flowing upwards and downwards while changing the area of the flow path was visualized using the PIV technique for the control of cold air in a thermoelectric refrigerator. From these results, the flow rate according to the change in the area of the flow path was confirmed, and design criteria for optimizing the distribution of cold air flowing to the top and bottom of the refrigerator were suggested.

• Water for future
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• v.23 no.1
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• pp.79-87
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• 1990

In this study, a regression model, which relates annual flood peak flows collected at stramflow gaging stations in the Han river and Nakdong river basin to both basin characteristics and precipitation data, is developed by using the generalized least squares method which can provide reasonable and unbiased estimator of error variance by separating error variance of the regression model into that due to model error and due to sampling error. This model may be used as a mechanism for transferring hydrologic information from the gaged sites to ungaged sites.

• Journal of Korea Water Resources Association
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• v.56 no.9
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• pp.563-574
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• 2023

Recently, climate change has affected functional responses of river basins to meteorological variables, emphasizing the importance of rainfall-runoff simulation research. Simultaneously, the growing interest in machine learning has led to its increased application in hydrological studies. However, it is not yet clear whether machine learning models are more advantageous than the conventional conceptual models. In this study, we compared the performance of the conventional GR6J model with the machine learning-based Random Forest model across 38 basins in Korea using both gauged and ungauged basin prediction methods. For gauged basin predictions, each model was calibrated or trained using observed daily runoff data, and their performance was evaluted over a separate validation period. Subsequently, ungauged basin simulations were evaluated using proximity-based parameter regionalization with Leave-One-Out Cross-Validation (LOOCV). In gauged basins, the Random Forest consistently outperformed the GR6J, exhibiting superiority across basins regardless of whether they had strong or weak rainfall-runoff correlations. This suggest that the inherent data-driven training structures of machine learning models, in contrast to the conceptual models, offer distinct advantages in data-rich scenarios. However, the advantages of the machine-learning algorithm were not replicated in ungauged basin predictions, resulting in a lower performance than that of the GR6J. In conclusion, this study suggests that while the Random Forest model showed enhanced performance in trained locations, the existing GR6J model may be a better choice for prediction in ungagued basins.