• 제목/요약/키워드: Steam Detection

검색결과 101건 처리시간 0.03초

The detection and diagnosis model for small scale MSLB accident

  • Wang, Meng;Chen, Wenzhen
    • Nuclear Engineering and Technology
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    • 제53권10호
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    • pp.3256-3263
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    • 2021
  • The main steam line break accident is an essential initiating event of the pressurized water reactor. In present work, the fuzzy set theory and the signal-based fault detection method has been used to detect the occurrence and diagnosis of the location and break area for the small scale MSLB. The models are validated by the AP1000 accident simulator based on MAAP5. From the test results it can be seen that the proposed approach has a rapid and proper response on accident detection and location diagnosis. The method proposed to evaluate the break area shows good performances for small scale MSLB with the relative deviation within ±3%.

상용 소독제의 살균력 및 균 소장 상태 검정 (The study on sterilization effect of disinfectants and detection of bacteria)

  • 송규남
    • 대한간호
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    • 제37권2호
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    • pp.77-86
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    • 1998
  • Yeung Nam University Medical Center, Department Of Central medical Supply Background: The adverse effect of intravenous therapy combined with various complications. Because sterilization technique and appropriate nursing care can prevent various complications, it is important to use appropriate sponge in intravenous therapy. The purpose of study was to identy sterilization effect and detection of bacteria and to provide basic data for use of appropriate disinfectants. Methods: From May 15 1995 to Aug. 3. 1995, disinfectants that were used in Yeung Nam University Medical Center were tested by bacteria culture. To test sterilization effect of disinfectants of intravenous injection sites after disinfection, 10 subjects were used and were tested by bacteria culture for the study. Results: 1) By sterilization effect of disinfectants, bacteria were increased from 103 to 10 from 48 hours in both 2% Zephanon and 2% zephanon that was sterilized by steam, from 10 to 10 from 72 hours and 10 from 48 hours in 70% lsoprophyl alchol. Also, bacterias were detected in 70% lsoprophyl alchol on 48 hours. 2) By stenlization effect of sponge that were used in nursing unit, bacterias were detected in 2% Zephanon on 2 hours, 70% lsoprophyl alchol on 2 hours, 70% lsoprophyl alchol on 8 hours and 70% lsoprophyl alchol on 48 hours. 3) By sterilization effect and detection of bacteria of intravenous site after disinfection, bacterias were detected in 10 of 10 control groups, 8 of 10 sites that were disinfected by steam sterilized 2% zephanon sponge, 6 of 10 sites that were disinfected by 70% lsoprophyl alchol and 4 of 10 sites that were disinfected by 10% Batadine. Conclusions : it is conclued that 70% lsoprophyl alchol is appropriate for intravenous therapy and 10% Betadine is appropriate in ward that were polluted the air and in immunodeficient patients.

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A Remote Sensed Data Combined Method for Sea Fog Detection

  • Heo, Ki-Young;Kim, Jae-Hwan;Shim, Jae-Seol;Ha, Kyung-Ja;Suh, Ae-Sook;Oh, Hyun-Mi;Min, Se-Yun
    • 대한원격탐사학회지
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    • 제24권1호
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    • pp.1-16
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    • 2008
  • Steam and advection fogs are frequently observed in the Yellow Sea from March to July except for May. This study uses remote sensing (RS) data for the monitoring of sea fog. Meteorological data obtained from the Ieodo Ocean Research Station provided a valuable information for the occurrence of steam and advection fogs as a ground truth. The RS data used in this study were GOES-9, MTSAT-1R images and QuikSCAT wind data. A dual channel difference (DCD) approach using IR and shortwave IR channel of GOES-9 and MTSAT-1R satellites was applied to detect sea fog. The results showed that DCD, texture-related measurement and the weak wind condition are required to separate the sea fog from the low cloud. The QuikSCAT wind data was used to provide the wind speed criteria for a fog event. The laplacian computation was designed for a measurement of the homogeneity. A new combined method, which includes DCD, QuikSCAT wind speed and laplacian computation, was applied to the twelve cases with GOES-9 and MTSAT-1R. The threshold values for DCD, QuikSCAT wind speed and laplacian are -2.0 K, $8m\;s^{-1}$ and 0.1, respectively. The validation results showed that the new combined method slightly improves the detection of sea fog compared to DCD method: improvements of the new combined method are $5{\sim}6%$ increases in the Heidke skill score, 10% decreases in the probability of false detection, and $30{\sim}40%$ increases in the odd ratio.

신경회로망을 이용한 원전 PWR 증기발생기의 고장진단 (Fault Diagnosis for the Nuclear PWR Steam Generator Using Neural Network)

  • 이인수;유철종;김경연
    • 한국지능시스템학회논문지
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    • 제15권6호
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    • pp.673-681
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    • 2005
  • 원자력 발전소는 안정성 및 신뢰성 확보가 가장 중요하므로 고장의 감지 및 진단 시스템의 개발은 원전 자체가 구축하고 있: 다중의 하드웨어 중첩도(hardware redundancy)에도 불구하고 가장 중요한 문제로 취급되고 있다. 본 논문에서는 원저 PWR 증기발생기에서 발생한 고장을 진단하기 위한 알고리듬의 개발을 위해 시스템에서 발생한 고장을 감지하고 분류할 수 있는 ART2 시경회로망 기반 고장진단방법을 제안한다. 고장진단시스템은 발생한 고장을 감지하기 위한 고장감지부, 변화된 시스템파라미터를 추정하기 위한 파라미터 추정부 및 발생한 고장의 종류를 알아내기 위한 고장분류부로 구성된다. 고장분류부는 여러 경계인수를 갖는 ART2(adaptive resonance theory 2) 신경회로망을 이용한 고장분류기로 구성된다. 제안한 고장진단 알고리듬을 증기발생기의 고장진단문제에 적용하여 성능을 확인하였다.

영상신호와 신경회로망을 이용한 보일러 화염 검출 (Flame Detection of Steam Boilers using Neural Networks and Image Information)

  • 배현;박동재;안항배;김성신
    • 한국지능시스템학회논문지
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    • 제13권2호
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    • pp.163-168
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    • 2003
  • 현재 사용중인 화염 검출기들은 화염 검출에 있어서의 특정 문제점들을 종종 나타내고 있다. 이러한 문제점들을 해결하기 위하여 본 논문에서는 캠코더로 획득한 이미지를 적절하게 전치리한 후 신경망의 입력으로 사용하여 화염을 검출하였다. 이미지를 이용한 화염검출의 경우 보일러 외부에서 데이터를 획득하기 때문에 내부열에 대한 영향들을 줄일 수 있는 방법으로 현재 적용 중인 센서에 기반한 화염검출 방법과는 구별된다. 그리고 패턴 분류를 위하여 사용한 신경망 모델은 다른 버너의 화염에 의한 유사정보틀을 잘 분류하기 때문에 화염검출기의 부정확한 동작을 줄일 수 있다. 신경망은 각 조건에 대한 특징을 학습하고 학습된 정보를 바탕으로 효율적인 화염검출을 수행한다.

Fault Detection and Diagnosis of Dynamic Systems with Sequentially Correlated Measurement Noise

  • Kim, B.S.;Y, J. Lee;Kim, K.Y.;Lee, I.S.;Lee, D.Y.;Lee, J.W.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.157.4-157
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    • 2001
  • An effective approach to detect and diagnose multiple failures in a dynamic system is proposed for the case where the measurement noise is correlated sequentially in time. It is based on the modified interacting multiple-model (MIMM) estimation algorithm in which a generalized decorrelation process is developed by employing the autoregressive (AR) model for the correlated measurement noise. Numerical example for the nuclear steam generator is provided to illustrate the enhanced performance of the proposed algorithm.

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AE를 이용한 저어널 베어링에서의 윤활유 이물질 혼입의 영향 감시 (Monitoring of Lubrication Conditions in Journal Bearing by Acoustic Emission)

  • 윤동진;권요양;정민화;김경웅
    • 한국윤활학회:학술대회논문집
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    • 한국윤활학회 1993년도 제18회 학술대회 초록집
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    • pp.77-84
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    • 1993
  • Systems with journal bearings generally operate in large scale and under severe loading conditions such as steam generator turbines and internal combustion engines, in contrast to the machineries using rolling element bearings. Failure of the bearings in these machineries can result in the system breakdown. To avoid the time consuming repair and considerable economic loss, the detection of incipient failure in journal bearings becomes very important. In this experimental approach, acoustic emission monitoring is employed to the detection of incipient failure caused by intervention of foreign particles most probable in the journal bearing systems. It has been known that the intervention of foreign materials, insufficient lubrication and misassembly etc. are principal factors to cause bearing failure and distress. The experiment was conducted under such designed conditions as inserting alumina particles to the lubrication layer in the simulated journal bearing system. The results showed that acoustic emission could be an effective tool to detect the incipient failure in journal bearings.

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CCTV 카메라를 이용한 플랜트 오일 누설 감시 (Oil leak detection on a plant by using CCTV camera)

  • 손기성;전형섭;최영철;박종원
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2011년도 춘계학술대회 논문집
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    • pp.136-141
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    • 2011
  • In a power plant, an oil and steam leakage is generated once in a while. This is because the operating temperature and pressure of oil are very high. It is very difficult to monitor oil leakage, because oil leakage is almost invisible. Therefore a method to oil leakage detecting quickly and accurately is needs. In this paper, we proposed the method for the detecting oil leakage by using image processing and CCTV. To test the performance of this technique, experiments have been performed for simple case. Results show that the proposed technique is quite powerful in the oil leak detection.

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GC-MS and GC-FID Analysis of Citronella Oil Products for Indicator Ingredient Identification

  • Sumin Kang;Wooil Kim;Jin Wuk Lee;Sangwon Cha
    • Mass Spectrometry Letters
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    • 제14권4호
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    • pp.160-165
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    • 2023
  • Citronella oil, an essential oil extracted through steam distillation from the leaves and stems of Cymbopogon, is a natural complex substance (NCS) regulated by the Korean government for its use in insect repellents. The component ratios of NCSs like citronella oil vary due to differences in manufacturing processes and origins, presenting a challenge in identifying and quantifying these substances in consumer chemical products. This study analysed ten commercially available products of the most commonly used types of citronella oil, specifically Java and Ceylon types, using gas chromatography (GC)-mass spectrometry (MS) and GC with flame ionization detection (FID). Through chromatographic data, we aimed to determine the components that can qualitatively identify citronella oil and the indicator ingredients that can be used for content analysis.

PGSFR 가동중검사기술 개발 (Development of In-Service Inspection Techniques for PGSFR)

  • 김회웅;주영상;이영규;박상진;구경회;김종범;김성균
    • 한국압력기기공학회 논문집
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    • 제12권1호
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    • pp.93-100
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    • 2016
  • Since the sodium-cooled fast reactor is operated in a hostile environment due to the use of liquid sodium as its coolant, advanced techniques for in-service inspection are required to periodically verify the integrity of the reactor. This paper presents the development of in-service inspection techniques for Proto-type Generation IV Sodium-cooled Fast Reactor. First, the 10 m long plate-type ultrasonic waveguide sensor has been developed for in-service inspection of reactor internals, and its feasibility was verified through several under-water and under-sodium experiments. Second, the combined inspection system for in-service inspection of ferromagnetic steam generator tubes has been developed. The remote field eddy current testing and magnetic flux leakage testing can be conducted simultaneously by using the developed inspection system, and the detectability was demonstrated through several damage detection experiments. Finally, the electro-magnetic acoustic transducer which can withstand high temperature and be installable in the remote operated vehicle has been developed for in-service inspection of the reactor vessel, and its detectability was investigated through damage detection experiments.