• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 Techno-Fair 및 추계학술대회 논문집 전기물성,응용부문
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• pp.222-223
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• 2007

In 6.6kV Rotary Machine Stator Windings, Corona Discharge, Discharge at Conductor Surface, Slot Discharge and Endwinding Discharge is happended by electronic degradation. Also, if Partial Discharge cause in inner-part of Rotary Machine Stator Windings, it will be happended voltage and current pulse. In case of discharge spark, RF electromagnetic wave, which tranmits at discharge position, can happen. To detect this kind of RF electromagnetic wave efficiently, we have designed Planar Antenna Sensor with the CST MWS simulation program. Also we have confined the application possibility, which can analize the partial discharge in Rotary Machine Stator Windings. In the Future, sample of planar antenna sensor will be able to compare with the data of simulation by CST MWS program.

• 한국정보통신학회논문지
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• 제25권8호
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• pp.1130-1133
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• 2021

In this paper, a miniaturized sensor interface circuit for the respiration detection system is proposed. Respiratory diagnosis is one of the main ways to predict various diseases. The proposed system consists of respiration detection sensor, temperature sensor, and interface circuits. Electrochemical type gas sensor using solid electrolytes is adopted for respiration detection. Proposed system performs sensing, amplification, analog-to-digital conversion, digital signal processing, and i2c communication. And also proposed system has a small form factor and low-cost characteristics through optimization and miniaturization of the circuit structure. Moreover, technique for sensor degradation compensation is introduced to obtain high accuracy. The size of proposed system is about 1.36 cm².

• International Journal of Air-Conditioning and Refrigeration
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• 제9권3호
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• pp.63-71
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• 2001

This paper presents a model-based method for detecting and diagnosing some faults in the cooling tower of healing, ventilating, and air-conditioning systems. A simple model for the cooling tower is employed. Faults in cooling tower operation are detected through the deviations in the values of system characteristic parameters such as the heat transfer coefficient-area product, the tower approach, the tower effectiveness, and fan power. Three distinct faults are considered: cooling tower inlet water temperature sensor fault, cooling tower pump fault, and cooling tower fan fault. As a result, most values of the system characteristics parameter variations due to a fault are much higher or lower than the values without faults. This allows the faults in a cooling tower to be detected easily using above methods. The diagnostic rules for the faults were also developed through investigating the changes in the different parameter due to each faults.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 C
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• pp.1906-1908
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• 2002

In general, ZnO lighting arrester are known to exhibit an increases in resistive current with time, the rate of increase being exacerbated with increasing applied voltage. In addition, since the resistive leakage current caused by deterioration of ZnO lighting arrester mainly caused an increase of the third harmonic component, thereby it is possible the arrester degradation diagnosis by measuring the third harmonic component in the total leakage current. So, in this paper, we presents a leakage current measuring and analysis system of 18[kV] ZnO lighting arrester.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 D
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• pp.2531-2534
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• 2000

본 연구는 전동기의 부분방전에 의해 발생되는 전자파를 측정하여 전동기의 열화상태를 진단할 수 있는 전동기 절연열화진단시스템을 설계하는 방법을 제안하고자 한다. 따라서 부분방전에 의한 전자파를 측정하는 시스템을 구성하고, 측정된 데이터를 분석하여 정량화된 특징 데이터를 추출하고 생성된 데이터를 이용한 뉴로-퍼지 진단모델설계 방법을 제시한다. 그리고 제안된 방법에 의해 설계된 진단모델을 실측데이터를 통해 진단하여 그 타당성을 입증하고자 한다. 1단계 연구로, 본 연구에서는 현장 전동기의 전자파를 On-Line으로 계측하는 시스템을 구성하여 전동기의 절연체내에서 발생하는 부분방전에 의한 전자파를 계측하여 데이터로부터 전동기의 절연열화상태를 해석하여 절연 열화와의 관계를 분석하였다.

• IMMUNE NETWORK
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• 제11권1호
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• pp.11-41
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• 2011

The discovery of microRNA (miRNA) is one of the major scientific breakthroughs in recent years and has revolutionized current cell biology and medical science. miRNAs are small (19~25nt) noncoding RNA molecules that post-transcriptionally regulate gene expression by targeting the 3' untranslated region (3'UTR) of specific messenger RNAs (mRNAs) for degradation of translation repression. Genetic ablation of the miRNA machinery, as well as loss or degradation of certain individual miRNAs, severely compromises immune development and response, and can lead to immune disorders. Several sophisticated regulatory mechanisms are used to maintain immune homeostasis. Regulatory T (Treg) cells are essential for maintaining peripheral tolerance, preventing autoimmune diseases and limiting chronic inflammatory diseases. Recent publications have provided compelling evidence that miRNAs are highly expressed in Treg cells, that the expression of Foxp3 is controlled by miRNAs and that a range of miRNAs are involved in the regulation of immunity. A large number of studies have reported links between alterations of miRNA homeostasis and pathological conditions such as cancer, cardiovascular disease and diabetes, as well as psychiatric and neurological diseases. Although it is still unclear how miRNA controls Treg cell development and function, recent studies certainly indicate that this topic will be the subject of further research. The specific circulating miRNA species may also be useful for the diagnosis, classification, prognosis of diseases and prediction of the therapeutic response. An explosive literature has focussed on the role of miRNA. In this review, I briefly summarize the current studies about the role of miRNAs in Treg cells and in the regulation of the innate and adaptive immune response. I also review the explosive current studies about clinical application of miRNA.

• 전력전자학회논문지
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• 제25권5호
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• pp.376-384
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• 2020

An energy storage system is composed of lithium-ion batteries in modern applications. Batteries are regarded as storage devices for renewable and residual energy. The failure of batteries can cause the performance reduction and explosion of battery systems. High maintenance cost is essential when dealing with the problem of battery safety. Therefore an accurate health diagnosis is required to ensure the high reliability of battery systems. A battery pack is a combination of single cells in series and parallel connections. A battery pack has to consider various factors to assess battery health. Battery health involves conventional factors and additional factors, such as cell-to-cell imbalance. For large applications, state-of-health (SOH) can be inaccurate because of the lack of factors that indicate the state of the battery pack. In this study, six characterization factors are proposed for improving the SOH estimation of battery packs. The six proposed characterization factors can be regarded as health indicators (HIs). The six HIs are applied to the principal component analysis (PCA) algorithm. To reflect information regarding capacity, voltage, and temperature, the PCA algorithm extracts new degradation factors by using the six HIs. The new degradation factors are applied to a multiple regression model. Results show the advancement and improvement of SOH estimation.

• 한국인터넷방송통신학회논문지
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• 제24권4호
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• pp.135-140
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• 2024

태양광발전시스템은 다른 재생에너지원과 비교해서 내구수명이 길어 유지점검이 거의 필요 없다고 하지만, 실제 태양광 모듈의 음영 발생, 온도상승, 미스매치, 오염·열화, 태양광 인버터의 고장, 누설전류 및 아크 발생으로 인하여 초기 설계 시에 기대했던 성능이 나오지 않는 경우가 발생한다. 따라서 이러한 시스템의 문제점 해결을 위해 단지 발전량 및 운전 현황에 대한 조사를 통하여 정성적으로 파악하거나 태양광발전시스템의 성능지수인 성능계수(PR, Performance Ratio)로부터 성능을 비교분석하고 있다. 그러나 큰 손실을 포함하고 있으므로 단지 성능계수만으로 태양광발전시스템의 성능 저하, 고장 혹은 결한 등의 이상 유무를 정확하게 판단하기가 어렵다. 본 논문에서는 주변 환경의 변화에 따른 태양광발전시스템 발전량 최적화를 위해 태양광 모듈의 음영 발생, 인버터 고장, 누설 및 아크에 대한 상태 진단 알고리즘을 연구하였다. 또한 연구된 알고리즘을 이용하여 영역별 상태진단과 이에 따른 발전량 최적화 운전에 대한 실증시험을 통한 결과를 고찰하였다.

• 대한방사선기술학회지:방사선기술과학
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• 제44권4호
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• pp.327-333
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• 2021

Magnetic resonance imaging(MRI) uses strong magnetic field to image the cross-section of human body and has excellent image quality with no risk of radiation exposure. Because of above-mentioned advantages, MRI has been widely used in clinical fields. However, the noise generated in MRI degrades the quality of medical images and has a negative effect on quick and accurate diagnosis. In particular, examining a object with a detailed structure such as brain, image quality degradation becomes a problem for diagnosis. Therefore, in this study, we acquired T2 weighted 3D data of multiple sclerosis disease using BrainWeb simulation program, and used quantitative evaluation factors to find appropriate slice thickness among 1, 3, 5, and 7 mm. Coefficient of variation and contrast to noise ratio were calculated to evaluate the noise level, and root mean square error and peak signal to noise ratio were used to evaluate the similarity with the reference image. As a result, the noise level decreased as the slice thickness increased, while the similarity decreased after 5 mm. In conclusion, as the slice thickness increases, the noise is reduced and the image quality is improved. However, since the edge signal is lost due to overlapped signal, it is considered that selecting appropriate slice thickness is necessary.

• 방송공학회논문지
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• 제25권1호
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• pp.13-24
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• 2020

한국에는 전력 분배를 위하여 약 9백만 개의 전신주와 1.3백만 킬로미터의 송전선이 있다. 이러한 많은 전력 설비의 유지보수를 위해서는 많은 인력과 시간이 소요된다. 최근 인공지능을 사용한 여러 고장진단 기술들이 연구되어 오고 있기 때문에 본 논문에서는 송전선의 여러 요인으로 인한 늘어짐을 감지하기 위해 기존의 현장에서의 검증 방법이 아닌 카메라 시스템으로 촬영한 영상에서의 인공 지능 기술을 활용한 송전선 늘어짐 감지 시스템을 제안한다. 제안하는 시스템은 (i) 객체 탐지 시스템을 이용한 송전탑 감지 (ii) 동영상 촬영 데이터의 화질 저하 문제를 해결하기 위한 히스토그램 평활화 기법 (iii) 송전선 전체를 파악하기 위한 파노라마 영상 스티칭(iv) 송전선 탐지 알고리즘 적용 후 파노라마 영상 스티칭 기술을 이용한 늘어짐 판단 과정으로 진행된다. 본 논문에서는 각각의 과정들에 대한 설명 및 실험 결과를 보인다.