• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 춘계학술대회
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• pp.461-464
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• 1997

The ECG monitoring system had play a significant roll in ICU, CCU and operating room. By alarming the change of ECG wave form and heart rate, staff can control emergency state. The improve of recent digital technology is able to develope low cost and high quality ECG monitoring system. In this paper, we develope new monitoring system with low price microprocessor and control system.

• Nuclear Engineering and Technology
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• 제36권6호
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• pp.528-539
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• 2004

It is essential in commercial reactors that the safety limits imposed on the fuel pellets and fuel clad barriers, such as the linear power density (LPD) and the departure from nucleate boiling ratio (DNBR), are not violated during reactor operations. In order to accurately monitor the safety limits of current reactor states, a detailed three-dimensional (3D) core power distribution should be estimated from the in-core detector signals. In this paper, we propose a calculation methodology for detailed 3D core power distribution, using in-core detector signals and core monitoring constants such as the 3D Coupling Coefficients (3DCC), node power fraction, and pin-to-node factors. Also, the calculation method for several core safety parameters is introduced. The core monitoring constants for the real core state are promptly provided by the core design code and on-line MASTER (Multi-purpose Analyzer for Static and Transient Effects of Reactors), coupled with the core monitoring program. through the plant computer, core state variables, which include reactor thermal power, control rod bank position, boron concentration, inlet moderator temperature, and flow rate, are supplied as input data for MASTER. MASTER performs the core calculation based on the neutron balance equation and generates several core monitoring constants corresponding to the real core state in addition to the expected core power distribution. The accuracy of the developed method is verified through a comparison with the current CECOR method. Because in all the verification calculation cases the proposed method shows a more conservative value than the best estimated value and a less conservative one than the current CECOR and COLSS methods, it is also confirmed that this method secures a greater operating margin through the simulation of the YGN-3 Cycle-1 core from the viewpoint of the power peaking factor for the LPD and the pseudo hot pin axial power distribution for the DNBR calculation.

• 대한전기학회논문지:전력기술부문A
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• 제55권9호
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• pp.359-364
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• 2006

In modern EMS, state estimation is used as a tool for monitoring how the power system operates. A state estimator iteratively calculates the voltage profile of the currently operating power system with voltage, current, and power measurements gathered from the entire system. It is usually assumed that all the measurements are obtained simultaneously. It, however, is not practically possible to maintain the synchronism of the measurements data. Recently, phasor measurements synchronized by satellites are used for the operation of the power systems. This paper describes the state estimator modified to support the processing of synchronized phasor measurements. Synchronized phasor measurements are found to provide synchronism of measurement data and improve the nccuracy/redundancy of the results of running it are presented.

• 한국지반공학회논문집
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• 제39권9호
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• pp.51-61
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• 2023

본 연구의 목적은 보 구조물 기초지반의 파이핑 안정성을 모니터링할 수 있는 지표를 선정하고, 선정 지표를 활용한 파이핑 안정성 모니터링 방법을 제시하는 데에 있다. 기존 연구 결과에 대한 검토와 침투모사 수치해석 결과로부터 보 기초지반에서의 간극수압 변화를 파이핑 모니터링 지표로 선정하였다. 운영 중인 보에서 간극수압계의 설치 상황을 감안하여, 간극수압계가 보 기초 하부에 1개 또는 2개 설치된 경우 각각에 대해, 다양한 상류 저수위 조건에 따른 침투해석을 수행하였다. 침투해석 결과로부터 파이핑 모니터링 방안을 이러한 각각의 경우에 대하여 제안하였다. 아울러, 제안된 모니터링 방안을 운영 중인 보에 시범 적용하였고 이를 통해 그 실효성을 확인하였다.

• Journal of Advanced Marine Engineering and Technology
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• 제30권2호
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• pp.247-252
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• 2006

Almost ship monitoring systems are event driven alarm system which warn only when the measurement value is over or under set point. These kinds of system cannot warn until signal is growing to abnormal state that the signal is over or under the set point. therefore cannot play a role for preventive maintenance system. This paper proposes fault diagnosis method which is able to diagnose and forecast the fault from present operating condition by analyzing monitored signals with present ship monitoring system without any additional sensors. By analyzing the data with high correlation coefficient(CC), correlation level of interactive data can be defined. Knowledge base of abnormal detection can be built by referring level of CC(Fault Detection CC. FDCC) to detect abnormal data among monitored data from monitoring system and knowledge base of diagnosis built by referring CC among interactive data for related machine each other to diagnose fault part.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2005년도 전기학술대회논문집
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• pp.281-286
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• 2005

Almost ship monitoring systems are event driven alarm system which warn only when the measurement value is over or under set point. These kinds of system cannot warn while signal is growing to abnormal state until the signal is over or under the set point and cannot play a role for preventive maintenance system. This paper proposes fault diagnosis method which is able to diagnose and forecast the fault from present operating condition by analyzing monitored signals with present ship monitoring system without additional sensors. By analyzing this data having high correlation coefficient(CC), correlation level of interactive data can be understood. Knowledge base of abnormal detection can be built by referring level of CC(Fault Detection CC, FDCC) to detect abnormal data among monitored data from monitoring system and knowledge base of diagnosis built by referring CC among interactive data for related machine each other to diagnose fault part.

• 산업기술연구
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• 제25권A호
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• pp.81-86
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• 2005

A vibration monitoring system for a small class of wind turbine (W/T) is established and operated. The monitoring system consists of monolithic integrated chip accelerometer for vibration monitoring, anemometers for wind data acquisition and auxiliary sensors for atmospheric data. Using the monitoring system, vibration response of a 6kW W/T generator is investigated. Acceleration data of the W/T tower under various operation condition is acquired in real time using LabVIEW and is remotely transferred from the test site to the laboratory in school by internet. Vibration state of the tower structure is diagnosed within the operating speed range. Resonance frequency range of the test model is investigated with the wind speed data of the test site.

• 한국정보통신학회논문지
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• 제20권11호
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• pp.2100-2106
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• 2016

자동화시스템은 PLC를 사용하여 생산제품의 제조 공정상태를 감시하고 센서에서 전달되는 센서정보를 처리한다. 본 연구에서는 자동화시스템에 사용되고 있는 제어용 계전기의 상태를 감시하는 원격감시시스템을 제안한다. 제안한 시스템은 제어 릴레이모듈, 원칩프로세서 모듈, 컴퓨터 모니터링시스템과 제어용 계전기의 내역을 입력하고 관리하는 데이터베이스시스템으로 구성한다. 컴퓨터 모니터링시스템은 제어용 계전기의 작동상태와 수명을 모터링할 수 있도록 구성하였고, 데이터베이스는 제어용 계전기의 투입 일자를 입력하고 수정이 가능하게 구성하였으며, 제어용 계전기의 작동상태의 정보를 자동으로 프린트할 수 있도록 구성하였다. 원격감시시스템에서 제어용 계전기의 고장상태를 실시간으로 파악하고, 고장부품을 신속하게 교체하여 정상가동에 소요되는 시간을 최소화할 수 있도록 하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(5)
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• pp.289-292
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• 2002

In this study, we measure and analyzed variation of EEG signal by anesthesiologist progress step. In an experiment, the EEG signal was acquired and analyzed as 5 steps(prior surgical operation, during induction, surgical operation, awakening, posterior surgical operation). As a result, we confirm the anesthesiologist progress phase, concluded the possibility of anesthesia depth because using SEF and MF, and Delta ratio confirmed that can presume operating patient's consciousness state.

• Smart Structures and Systems
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• 제8권1호
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• pp.53-67
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• 2011

Human state in human-machine systems highly affects the overall system performance, and should be detected and monitored. Physiological cues are essential indicators of human state and useful for the purpose of monitoring. The study presented in this paper was focused on developing a bio-inspired sensing system, i.e., Nano-Skin, to non-intrusively measure physiological cues on human-machine contact surfaces to detect human state. The paper is presented in three parts. The first part is to analyze the relationship between human state and physiological cues, and to introduce the conceptual design of Nano-Skin. Generally, heart rate, skin conductance, skin temperature, operating force, blood alcohol concentration, sweat rate, and electromyography are closely related with human state. They can be measured through human-machine contact surfaces using Nano-Skin. The second part is to discuss the technologies for skin temperature measurement. The third part is to introduce the design and manufacture of the Nano-Skin for skin temperature measurement. Experiments were performed to verify the performance of the Nano-Skin in temperature measurement. Overall, the study concludes that Nano-Skin is a promising product for measuring physiological cues on human-machine contact surfaces to detect human state.