• 제목/요약/키워드: Diagnostics Systems

검색결과 198건 처리시간 0.036초

MCCARD: MONTE CARLO CODE FOR ADVANCED REACTOR DESIGN AND ANALYSIS

  • Shim, Hyung-Jin;Han, Beom-Seok;Jung, Jong-Sung;Park, Ho-Jin;Kim, Chang-Hyo
    • Nuclear Engineering and Technology
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    • 제44권2호
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    • pp.161-176
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    • 2012
  • McCARD is a Monte Carlo (MC) neutron-photon transport simulation code. It has been developed exclusively for the neutronics design of nuclear reactors and fuel systems. It is capable of performing the whole-core neutronics calculations, the reactor fuel burnup analysis, the few group diffusion theory constant generation, sensitivity and uncertainty (S/U) analysis, and uncertainty propagation analysis. It has some special features such as the anterior convergence diagnostics, real variance estimation, neutronics analysis with temperature feedback, $B_1$ theory-augmented few group constants generation, kinetics parameter generation and MC S/U analysis based on the use of adjoint flux. This paper describes the theoretical basis of these features and validation calculations for both neutronics benchmark problems and commercial PWR reactors in operation.

Application of Wireless Sensor for Diagnostics of Electric Equipments (전력 설비 진단을 위한 무선 센서의 응용)

  • Yun, Ju-Ho;Choi, Yong-Sung;Hwang, Jong-Sun;Lee, Kyung-Sup
    • Proceedings of the KIEE Conference
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.2112-2113
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    • 2008
  • The concept is based on distributed wireless sensors that are attached to the incoming and outgoing power lines of secondary substations. A sensor measures only phase current characteristics of the wire it is attached to, is not synchronized to other sensors and does not need configuration of triggering levels. The main novelty of the concept is in detecting and locating faults by combining power distribution network characteristics on system level with low power sampling methods for individual sensors. This concept enables the sensor design to be simple, energy efficient and thus applicable in new installations and for retrofit purposes in both overhead and underground electrical distribution systems.

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Efficiency Analysis of Acoustic Emission Control and Diagnostic Products Engineering

  • Irmuhamedova, R.M.;Sagatovo, M.V.
    • Journal of Multimedia Information System
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    • 제2권4호
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    • pp.317-326
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    • 2015
  • The paper deals with the analysis of the effectiveness of acoustic emission monitoring and diagnostics of engineering products. We discuss the results of the processing results of the field experiment to study the acoustic emission in the alloy and its welded joints in the presence of technological defects. We study the characteristics of the output of acoustic emission signals at different stages of elastic-plastic deformation of alloys. Analyzed acoustic chart and the output waveform of the acoustic emission for the different types of welds. Studies have shown the effectiveness of the Acoustic emission techniques and help improve the accuracy of non-destructive testing systems in problems of automation and control.

Unsteady Flow Rate Measurement Based on Distributed Parameter Pipeline Model (분포정수계 관로모델을 이용한 비정상 유량계측)

  • Kim, Do-Tae;Hong, Sung-Tae
    • Transactions of the Korean Society of Machine Tool Engineers
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    • 제17권3호
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    • pp.8-13
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    • 2008
  • The paper proposes a model-based measurement of unsteady flow rate by using distributed parameter pipeline model and the measured pressure values at two distant points along the pipeline. The distributed parameter model of hydraulic pipeline is applied with consideration of frequency dependent viscosity friction and unsteady velocity distribution at a cross section of a pipeline. By using the self-diagnostics functions of the measurement method, the validity is investigated by comparison with the measured and estimated pressure and flow rate wave forms at the halfway section on the pipeline. The results show good agreement between the estimated flow rate wave forms and theoretical those under unsteady laminar flow conditions. The method proposed here is useful in estimating unsteady flow rate through an arbitrary cross section in hydraulic pipeline and components without installing an instantaneous flowmeter.

Developed and implementation of a knowledge acquisition methodology for seed material processing expert systems

  • Arkhipova, Paper I.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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    • pp.679-684
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    • 1996
  • The work was aimed at realize the problem of seed processing . Solving this problem it was ascertained that the existing mathematical methods are reliable enough, but they are used practically very seldom. The work offers to use the expert system technology which allows to solve problems connected with practical knowledge of experts in the region of investigation effectively. The method of knowledge structuring and analizing as well as technique of knowledge acquisition which is necessary for realization of this technology are worked-out in the work. As the result applying the worked-out method the prototypes of the expert system (ES) are created : -ES " Sieves " ; research prototype for the sieve choice for the seed sorting machines -ES " Diagnostics " ; displaying prototype for the technological determination of action disrepair of seed sorting machines.

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Diagnostics of Power Cables using DC Voltage Decay method (직류전압감쇄법을 이용한 전력케이블의 절연열화진단)

  • Yi, Dong-Young;Kim, Sang-Joan;Kim, Ju-Yong;Song, Il-Keun
    • Proceedings of the KIEE Conference
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    • 대한전기학회 1997년도 하계학술대회 논문집 E
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    • pp.1688-1691
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    • 1997
  • In this work, we have developed the off-line diagnostic system for power cable insulation using DC voltage decay method to diagnose the insulation degradation of underground power cables. Measurement errors of diagnostic system are less than 1% for $1T{\Omega}$ internal resistor. We have also developed measurement and diagnostic programs for win95 which is suitable for the database construction and the management of data. We could conclude that it is possible to apply this system to the multi-grounded underground cable systems.

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The Investigation of Synovial Fluid and Serum for Biochemical Markers of Joint Diseases in the Horse (말의 활액 및 혈청 분석을 통한 관절질환의 생화학적 예측 인자)

  • 배종환;김갑수;유영춘;이회영;이경복
    • Journal of Veterinary Clinics
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    • 제18권3호
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    • pp.304-310
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    • 2001
  • The joint disease including osteoarthris (OA) and rheumatoid arthritis (RA) are common in the horse. Many studies have been performed to develop biochemical markers reflecting the abnormalities of cartilage and synovial membrane. However, no specific, sensitive and clinically well established assay systems have been yet available to characterize the severity of joint diseases. Indeed, radiography is still doctor's best choice of assessing joint damage in OA/RA. This review focuses on biochemical molecules such as proteoglycan, collagen, matrix metalloproteinases (MMPs), lectin and cytokine to assess their potential value for not only predicting stage of joint disease but also monitoring treatment efficacy.

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Biosensors (바이오센서)

  • 김의락
    • KSBB Journal
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    • 제15권5호
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    • pp.423-427
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    • 2000
  • Intense research on biosensors has been performed in a number of different institution over the past 15 years, but relatively few commercial products have resultingly, the blood glucose sensor is a good example of a product which penetrated the market. However recently, the development of electrochemical and optical technologies has accelerated the turnover of the research as is illustrated by a rapid increase in the number of point-of-care diagnostic systems and analytical devices. Examples of such biosensors used in the fields of medical diagnostics, bioprocess control, and environmental monitoring are described, and summarized in an introduction to their characteristics, structures, and functions, given.

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Bioinformatics and Genomic Medicine (생명정보학과 유전체의학)

  • Kim, Ju-Han
    • Journal of Preventive Medicine and Public Health
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    • 제35권2호
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    • pp.83-91
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    • 2002
  • Bioinformatics is a rapidly emerging field of biomedical research. A flood of large-scale genomic and postgenomic data means that many of the challenges in biomedical research are now challenges in computational sciences. Clinical informatics has long developed methodologies to improve biomedical research and clinical care by integrating experimental and clinical information systems. The informatics revolutions both in bioinformatics and clinical informatics will eventually change the current practice of medicine, including diagnostics, therapeutics, and prognostics. Postgenome informatics, powered by high throughput technologies and genomic-scale databases, is likely to transform our biomedical understanding forever much the same way that biochemistry did a generation ago. The paper describes how these technologies will impact biomedical research and clinical care, emphasizing recent advances in biochip-based functional genomics and proteomics. Basic data preprocessing with normalization, primary pattern analysis, and machine learning algorithms will be presented. Use of integrated biochip informatics technologies, text mining of factual and literature databases, and integrated management of biomolecular databases will be discussed. Each step will be given with real examples in the context of clinical relevance. Issues of linking molecular genotype and clinical phenotype information will be discussed.

Sequential Influence Diagnostics in Multiple Regression (축자적 회귀진단 절차의 개발)

  • 김복만;최성운
    • Journal of Korean Society of Industrial and Systems Engineering
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    • 제15권25호
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    • pp.97-101
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    • 1992
  • This paper proposes a new procedures for assessing the influence of individual or groups of cases when any regressors are included. At first, various influence measures pickout influential cases when one regress-or is deleted. Next find influential subsets by using heuristic approach and perform group deletion. Retaining or removing any regressors may depend on the presence or absence of one or few cases. Then, we can identify the interrelationships that exist among regressors and cases and examine their impact on the fitted regression equation. We conclude with an example using fuel consumption data.

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