• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.1
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• pp.184-192
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• 2022

Valve internal leakage is caused by damage to the internal parts of the valve, resulting in accidents and shutdowns of the piping system. This study investigated the possibility of a real-time leak detection method using the acoustic emission (AE) signal generated from the piping system during the internal leakage of a butterfly valve. Datasets of raw time-domain AE signals were collected and postprocessed for each operation mode of the valve in a systematic manner to develop a data-driven model for the detection and classification of internal leakage, by applying machine learning algorithms. The aim of this study was to determine whether it is possible to treat leak detection as a classification problem by applying two classification algorithms: support vector machine (SVM) and convolutional neural network (CNN). The results showed different performances for the algorithms and datasets used. The SVM-based binary classification models, based on feature extraction of data, achieved an overall accuracy of 83% to 90%, while in the case of a multiple classification model, the accuracy was reduced to 66%. By contrast, the CNN-based classification model achieved an accuracy of 99.85%, which is superior to those of any other models based on the SVM algorithm. The results revealed that the SVM classification model requires effective feature extraction of the AE signals to improve the accuracy of multi-class classification. Moreover, the CNN-based classification can be a promising approach to detect both leakage and valve opening as long as the performance of the processor does not degrade.

• Journal of the Korean Society for Nondestructive Testing
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• v.24 no.1
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• pp.45-51
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• 2004

Boiler tubes in power plants are often leaked due to various material degradations including creep and thermal fatigue damage under severe operating conditions such as high temperature and high pressure over an extended period of time. To monitor and diagnose the tubes on site and in real time, the acoustic emission (AE) technology was applied. We developed an AE leak detection system, and used it to study the variation of AE signal from the on-site tubes in response to the changes in the boiler operation condition and to detect the locations of leakage based on it. Detection of leak was performed by acquiring and evaluating the signals in separate regimes of high and low frequency signal. As a result of these studies, we found that on-line monitoring and detection of leak location for boiler tubes is possible using the developed system. Thus, the system is expected to contribute to the safe operation of power plants, and prevent economic losses due to potential leak.

• Electric Engineers Magazine
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• v.184 no.12
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• pp.41-46
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• 1997

본 시스템은 전기사용상태에서 컴퓨터를 통하여 변압기를 상시 감시할 수 있는 진단방법으로 절연유열화센서를 이용한 열화측정용 진단시스템으로서 절연유속에 절연유열화센서를 설치하고 DC2kV 전압을 센서 양단에 인가한 후 누설전류를 nA단위로 측정하고 현재온도 상태를 측정하여 이 신호를 진단장치에서 A/D변환, 증폭, 제어하여 컴퓨터로 전송함으로써 파형감시, 데이터저장, 분석, 진단결과 분석기록표 출력 등이 가능하며 이 데이터를 이용하여 절연유의 열화정도를 예측하거나 판정할 수 있다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.15 no.3
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• pp.67-73
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• 2001

This paper resents a developed measuring device of resistive leakage current and a fundamental discussion of deterioration diagnosis for Zinc Oxide(ZnO) arrester blocks. We have developed the leakage current detection device for ageing test and durability evaluation for ZnO arrester blocks. The resistive leakage current can be used as an indicator to discriminate whether the ZnO arrester blocks is in good state or in bad. The resistive leakage current measuring system with the compensation circuit was designed and fabricated. The sauce tests for ZnO arrester blocks were investigated by observing the resistive leakage current together with fast Fourier transform analysis. The proposed monitoring systems for the resistive leakage current can effectively be used to investigate the electrophysical properties of ZnO arrester blocks in laboratory and to develop the techniques of forecasting the deterioration of ZnO arresters in electric power systems.

• Journal of the Korean Society for Nondestructive Testing
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• v.34 no.1
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• pp.60-67
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• 2014

In this study, an automated cable non-destructive testing(NDT) system was developed to monitor the steel cables that are a core component of cable-stayed bridges. The magnetic flux leakage(MFL) method, which is suitable for ferromagnetic continuum structures and has been verified in previous studies, was applied to the cable inspection. A multi-channel MFL sensor head was fabricated using hall sensors and permanent magnets. A wheel-based cable climbing robot was fabricated to improve the accessibility to the cables, and operating software was developed to monitor the MFL-based NDT research and control the climbing robot. Remote data transmission and robot control were realized by applying wireless LAN communication. Finally, the developed element techniques were integrated into an MFL-based cable NDT system, and the field applicability of this system was verified through a field test at Seohae Bridge, which is a typical cable-stayed bridge currently in operation.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2008.04a
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• pp.425-430
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• 2008

To verify the system performance of portable AE leak diagnosis system which can measure with moving conditions, AE activities such as RMS voltage level, AE signal trend, leak rate degree according to AE database, FFT spectrum were measured during operation on total 11 valves of the secondary system in nuclear power plant. AE activities were recorded and analyzed from various operating conditions including different temperature, type of valve, pressure difference, valve size and fluid. The results of this field study are utilized to select the type of sensors, the frequency band for filtering and thereby to improve the signal-to-noise ratio for diagnosis for diagnosis or monitoring of valves in operation. As the final result of application study above, portable type leak diagnosis system by AE was developed. The outcome of the study can be definitely applied as a means of the diagnosis or monitoring system for energy saving and prevention of accident for power plant valve. The purpose of this study is to verify availability of the acoustic emission in-situ monitoring method to the internal leak and operating conditions of the major valves at nuclear power plants. In this study, acoustic emission tests are performed when the pressurized temperature water and steam flowed through glove valve(main steam dump valve) and check valve(main steam outlet pump check valve) on the normal size of 12 and 18 ". The valve internal leak monitoring system for practical field was designed. The acoustic emission method was applied to the valves at the site, and the background noise was measured for the abnormal plant condition. To improve the reliability, a judgment of leak on the system was used various factors which are AE parameters, trend analysis, frequency analysis, voltage analysis and amplitude analysis of acoustic signal emitted from the valve operating condition internal leak.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.76-79
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• 2016

자동차 산업의 발달과 전세계적으로 차량의 증가로 인해 보행자의 사고 발생율이 증가하고 있고 보행자의 안전에 대해 연구와 안전장비들이 계속적으로 개발되고 있다. 보행자와 차량의 충돌시 보행자의 상해를 감소시키는 시스템 중 화약식 액티브 후드 시스템(active hood system, AHS)은 부하가 화약성분이므로 부하의 성분을 검출하는데 한계가 있고, 위험성이 높으므로 정밀한 고장진단이 필요하다. 이러한 문제점을 해결하기 위해 화약의 부하저항을 측정하는 방법과 저항성 누설전류를 측정하는 방법을 제시하고, 이 방법을 점화회로의 이상 유무를 확인하는 고장진단 기법으로 제안한다. 그리고 고장진단시 squib가 점화되는 오동작을 방지하고저 고장진단 모드와 점화모드를 구별하여 진단전류와 점화전류를 구분하는 기법을 제안한다.

• Proceedings of the KIEE Conference
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• 2002.07c
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• pp.1739-1741
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• 2002

본 논문에서는 현재 당사에서 GIS 제조업체로서 당사의 제품에 대한 예방진단 시스템을 구축한다는 계획의 일환으로서 진행하고 있는 신가평/신태백 765kV 변전소의 800kV/362kV GIS용 피뢰기 누설전류 측정장치 개발에 대한 전반적인 개요와 진행 상황에 대해서 기술하도록 한다. 우선, 피뢰기의 일반적인 열화 특성에 관해서 고찰하며, 개발된 피뢰기 누설전류측정장치의 시스템 구성도를 통해서 미소전류에 대한 신호처리기법을 소개한다. 또한, 본 장치를 개발함에 있어서 진행된 전자기 적합성(Electromagnetic Compatibility) 시험 및 절연 내력 시험에 대해서 서술하며, 시험 전, 후의 입 출력 특성을 확인함으로서 제품의 신뢰성을 검증하도록 하였다.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2687-2689
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• 2003

국내 LNG/LPG 누출을 관리할 수 있는 유무선 복합 종합관리시스템을 개발하였다. 이 시스템은 무선가스누출 탐지 및 제어부, 유선가스누출 탐지 및 제어부, 종합관리 시스템부로 구성되며, 특징으로는 무선가스누설 제어부 : 통신속도 1200bps, 유선가스누설 제어부 : 내부통신속도 9600 bps, IEEE 802 양방향 통신 방식, 최대전송속도 25 Mbps, 군 관리기능(server to server). 자체진단기능 등이다. 본 시스템을 가스공사 연구개발원 내에 운영되고 있는 CNG 및 LCNG 충전에 설치 운영하여 성능시험을 거친 결과, 현재까지 기존의 외국제품과 동등한 성능을 보이고 있으며 단가면에서도 2/3정도로 경쟁력을 가지고 있다. 보다 장기적인 현장적용 시험을 통해 성능 및 장기안정성 등이 확립되면 국내시장뿐만 아니라 수출을 통한 국제시장 점유도 기대할 수 있을 것이다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.29-30
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• 2018

전 세계적으로 급증하고 있는 에너지 수요로 인해 오일, 가스 등의 에너지 생산 매체를 운송 할 수 있는 수송 수단인 배관에 대한 수요도 증가하고 있는 추세이다. 그러나 이러한 배관을 장시간 사용할 경우 노후화로 인해 발생되는 파공은 배관에 흐르는 유체 누설의 원인이 되고, 나아가서 경제 및 재난 피해를 야기할 수 있다. 따라서 다양한 배관 누설 검출 기술들이 개발되고 있는 추세이며, 이를 위해서는 신뢰성 있는 결함 모사 데이터의 확보가 매우 중요하다. 본 논문에서는 신뢰성 있는 데이터 수집을 위해 배관의 누설 상황을 모사 할 수 있는 테스트베드를 제어하고, 테스트베드에서 데이터를 안정적으로 취득할 수 있는 테스트베드 제어 및 데이터 취득 시스템을 제안한다.