• Title/Summary/Keyword: Leak Detection

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Development of Ceramic Humidity Sensor for the Korean Next Generation Reactor

  • Lee, Na-Young;Hwang, Il-Soon;Song, Chang-Rock;Yoo, Han-Ill;Park, Sang-Duk;Yang, Jun-Seong
    • Nuclear Engineering and Technology
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    • v.30 no.5
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    • pp.435-443
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    • 1998
  • Leak-before-break(LBB) approach has been shown to be both cost effective and risk reductive when applied to high energy Piping in nuclear Power Plants. For the Korean Next Generation Reactor (KNGR) development, LBB application is considered for the Main Steam Line(MSL) piping inside containment. Unlike the primary system leakages, the MSL leak detection systems must be based on principles other than radioactivity measurements. Among humidity, heat and acoustic noise currently being considered as indicators of leakage, we explored humidity as an effective one and developed ceramic-based humidity sensor which can be qualified for LBB applications. The ceramic material, sintered and annealed MgCr$_2$O$_4$-TiO$_2$, is shown to increase its electrical conductivity drastically upon water vapor adsorption over the entire temperature range of interest. With this ceramic sensor specimen, we suggested installation-inside-the-piping method by which we can detect leakage more rapidly and sensitively. In this paper, we describe the progress in the development and characterization of ceramic humidity sensor for the LBB application to the MSL of KNGR.

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Implementation of Film Type Sensor for Synthetic Lube Oil and High Pressure Hydraulic Fluid Leak Detection (합성 윤활유 및 고압 작동유 누출감지 필름형 센서의 구현)

  • Park, No-Jin;Yu, Dong-Kuen;Yu, Hong-Kuen
    • Journal of Sensor Science and Technology
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    • v.23 no.4
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    • pp.266-271
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    • 2014
  • Chemical sensors are used in various industrial facilities such high-risk and prevent the leakage of substances, important in life and environmental protection and the safe use of industry, used for management. In particular, high-temperature environments such as power generation equipment of the rotating part due to leakage generated by the various oil, power plants Shut Down, fire, work environment (exposure to various chemical solution and gas leak) and various water, air and soil pollution causes. Thus, over the long term through various channels such as crops and groundwater contamination caused by the slow, serious adverse effect on the ecosystem. In this paper, synthetic lube oil and high pressure hydraulic fluid leakage and immediately detect a new Printed Electronic implementation of technology-based film-type sensors, and its performance test. Thus, industrial accidents and environmental pollution and for early detection of problems, large accidents can be prevented. Experimental results of the synthetic lube oil and high pressure hydraulic fluid solution after the contact time depending on the experiment and the oil solution of the sensor material of the conductive porous PE resistance value by a chemical reaction could be confirmed that rapid increase. Also implemented in the film-type oil sensor electrical resistance change over time of the reaction rate and the synthetic lube oil is about 2 minutes or less, the high pressure hydraulic fluid is less than about 1 minute was. Therefore, more high-pressure hydraulic fluid such as a low volatility synthetic lube oils are the resistance change and the reaction rate was confirmed to be the slowest.

Signal processing method based on energy ratio for detecting leakage of SG using EVFM

  • Xu, Wei;Xu, Ke-Jun;Yan, Xiao-Xue;Yu, Xin-Long;Wu, Jian-Ping;Xiong, Wei
    • Nuclear Engineering and Technology
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    • v.52 no.8
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    • pp.1677-1688
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    • 2020
  • In the sodium-cooled fast reactor, the steam generator is a heat exchange device between sodium and water, which may cause leakage, resulting in a sodium-water reaction accident, which in turn affects the safe operation of the entire nuclear reactor. To this end, the electromagnetic vortex flowmeter is used to detect leakage of the steam generator and its signal processing method is studied in this paper. The hydraulic experiment was carried out by using water instead of liquid sodium, and the sensor output signal of the electromagnetic vortex flowmeter under different gas injection volumes was collected. The bubble noise signal is reflected by the base line of the sensor output signal. According to the relationship between the proportion of the bubble noise signal in the sensor output signal and the gas injection volume, a signal processing method based on the energy ratio calculation is proposed to detect whether the water contains bubbles. The gas injection experiment of liquid sodium was conducted to verify the effectiveness of the signal processing method in the detection of bubbles in sodium, and the minimum detectable leak rate of water in the steam generator was detected to be 0.2 g/s.

A Study on Pipeline Network Analysis for Predicting Pressure and Flow rate Transients in City-gas Supply Lines (도시가스 공급라인의 압력 및 유량변화 예측을 위한 배관망 해석 연구)

  • Nam, Jin-Hyun;Cho, Chan-Young;Jang, Sung-Pill;Lim, Si-Hyung;Shin, Dong-Hoon;Chung, Tae-Yong
    • Journal of the Korean Institute of Gas
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    • v.12 no.2
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    • pp.85-91
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    • 2008
  • The deviation of measured pressures in pipeline networks from normal or reference pressures is useful information for judging the operation of the pipeline networks. A cost-effective monitoring of pipeline networks including a leak detection capability can be realized when transient pressure variation is accurately predicted using measured conditions at supply- and demand-sides of the networks. In this study, a pipeline network analysis program was developed based on one-dimensional flow equations for compressible fluids. The validity of the present analysis was demonstrated by simulating the flow in a straight pipeline and comparing the results with the previously reported ones. Pressure and flow rate transients in several simple city-gas pipeline networks were also analyzed to show the usefulness of the developed program.

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The Method for detecting ground fault between power part and controller part of a electricity vehicle (전기동력 자동차 구동부와 제어부 간 절연고장 검출 방법)

  • Park, Hyun-Seok;Cho, Se-Bong;Jeon, Ywun-Seok
    • 한국신재생에너지학회:학술대회논문집
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    • 2007.11a
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    • pp.174-176
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    • 2007
  • Because of accident or leak of electricity, high voltage electricity can be conducted to vehicle chassis and damage human. Therefore the unit for detecting ground fault is necessary to minimize loss of life or equipment damage. Isolation resistance must be monitored for detecting ground fault. GFD(Ground Fault Detection) unit continually generate the pulse voltage between high voltage network and chassis. This will be sensing the returned current, calculate the isolation resistance and make decision the ground fault. This paper describes the method detecting ground fault.

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A Development of the Balloon Pressure Analysis System for the Diagnosis of Esophageal Ruptures (풍선 확장술에서 식도파열의 진단을 위한 압력분석 시스템의 구성)

  • Shin, D.I.;Song, H.Y.;Huh, S.J.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.428-431
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    • 1997
  • This study is the basic research on esophageal balloon dialation with automatic detection of the pressure change in the balloon and analysis using personal computer. In conventional method, the esophageal stricture is cured by surgically. Recently, balloon dialation method has been proposed and is popularized. In balloon dialation, detecting esophageal rupture is very important. When using radiological investigation, the leak of contrast medium is very dangerous. In proposed method, the detection of esopageal rupture can be peformed by detecting and analyze the pressure change of dialation balloon. Experimental system is composed of balloon catheter, pressure pump, pressure sensor, A/D converter and PC.

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Fault Detection with OES and Impedance at Capacitive Coupled Plasmas

  • Choe, Sang-Hyeok;Jang, Hae-Gyu;Chae, Hui-Yeop
    • Proceedings of the Korean Vacuum Society Conference
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    • 2012.02a
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    • pp.499-499
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    • 2012
  • This study was evaluated on etcher of capacitive coupled plasmas with OES (Optical Emission Spectroscopy) and impedance by VI probe that are widely used for process control and monitoring at semiconductor industry. The experiment was operated at conventional Ar and C4F8 plasma with variable change such as pressure and addition of gas (Atmospheric Leak: N2 and O2), RF, pressure, that are highly possible to impact wafer yield during wafer process, in order to observe OES and VI Probe signals. The sensitivity change on OES and Impedance by Vi probe was analyzed by statistical method to determine healthy of process. The main goal of this study is to understand unwanted tool performance to eventually improve productive capability. It is important for process engineers to actively adjust tool parameter before any serious problem occurs.

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Detection of Oscillatory Pattern Signals and its Application to the Fault Diagnosis of a Boiler Drum-Level Control System (Oscillatory 파형감지에 의한 보일러 플랜트 드럼수위 제어계통의 고장진단)

  • Kim, Jae-Hwa;Seo, Yeol-Kyu;Jang, Tae-Gyu
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.1
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    • pp.44-51
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    • 1999
  • This paper proposes a new approach of plant fault diagnosis which is based on detecting the characteristic pattern signals and associating them with the corresponding faults. The new approach does not require analytic modeling of the target system but best reflects the expertise embedded in the experienced human operation by mimicking them in a systematic way. This paper intends to illustrate the feasibility of the proposed by developing the algorithms to detect and estimate the typical characteristic pattern signals, I. e., oscillatory patterns, and applying them to the diagnosis of various faults of a 500MW boiler control system including tube rupture, feed-water leak, and controller failure.

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A Study on Object Detection using Restructured RetinaNet (재구조화된 RetinaNet을 활용한 객체 탐지에 관한 연구)

  • Kim, Jun Yeong;Jung, Se Hoon;Sim, Chun Bo
    • Journal of Korea Multimedia Society
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    • v.23 no.12
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    • pp.1531-1539
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    • 2020
  • Searching for portable baggage through the system before boarding an airplane at an airport is important because it prevents many risks. In addition to these dangerous items, personal and confidential information leaks are occurring at airports through data storage devices. In the airport search system, there is a need for a system that searches not only dangerous items but also devices that can leak data. In this paper, we proposed a model that searches for a data storage device by improving the existing model. A comparative evaluation was conducted using existing algorithms. As a result, it was confirmed that the performance of the proposed model is 74 in the training data and 46.73 in the test data, which is superior to the existing model.

Machine Learning Based Automated Source, Sink Categorization for Hybrid Approach of Privacy Leak Detection (머신러닝 기반의 자동화된 소스 싱크 분류 및 하이브리드 분석을 통한 개인정보 유출 탐지 방법)

  • Shim, Hyunseok;Jung, Souhwan
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.4
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    • pp.657-667
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    • 2020
  • The Android framework allows apps to take full advantage of personal information through granting single permission, and does not determine whether the data being leaked is actual personal information. To solve these problems, we propose a tool with static/dynamic analysis. The tool analyzes the Source and Sink used by the target app, to provide users with information on what personal information it used. To achieve this, we extracted the Source and Sink through Control Flow Graph and make sure that it leaks the user's privacy when there is a Source-to-Sink flow. We also used the sensitive permission information provided by Google to obtain information from the sensitive API corresponding to Source and Sink. Finally, our dynamic analysis tool runs the app and hooks information from each sensitive API. In the hooked data, we got information about whether user's personal information is leaked through this app, and delivered to user. In this process, an automated Source/Sink classification model was applied to collect latest Source/Sink information, and the we categorized latest release version of Android(9.0) with 88.5% accuracy. We evaluated our tool on 2,802 APKs, and found 850 APKs that leak personal information.