• 제목/요약/키워드: monitoring examples

검색결과 196건 처리시간 0.027초

Application of Realtime Monitoring of Oceanic Conditions in the Coastal Water for Environmental Management

  • Choi, Yang-Ho;Ro, Young-Jae
    • Journal of the korean society of oceanography
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    • 제39권2호
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    • pp.148-154
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    • 2004
  • This study describes the realtime monitoring system for water quality conditions in coastal waters. Some issues on the data qualify control and quality analysis are examined along with examples of erroneous data. Three different cases of database produced by the realtime monitoring system are presented and analyzed, namely 1) hypoxic condition, 2) over-saturated D.O. and 3) short-term variability of temperature and D.O. In utilizing the realtime database, D.O. prediction and warning models are developed based on autoregressive stochastic process. The model is very simple, yet, users in various levels from powerful and useful with its ability to send warning messages to users in varous levels from governmental administrative staff to local fisherman, and give them some allowances to cope with the situation.

산업용 회전 기기의 현장 이상 진단을 위한 지식 기반 전문가 시스템 개발 (Development of knowledge based expert system for fault diag industrial rotating machinery)

  • 이태욱;이용복;김승종;김창호;임윤철
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2001년도 추계학술대회논문집 II
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    • pp.633-639
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    • 2001
  • This paper proposes a knowledge-based expert system. which is assembled into hardware organized with sensor module. AID converter, USB. data acquisition PC and software composed of monitoring and diagnosis module combined with a frame-based method using Sohre's chart and a rule-based method. Vibration signals using various sensors are acquired by AID converter. transferred into PC and processed to obtain a continuous monitoring of the machine status displayed into several plots. Through combining frame-base which covers wide vibration causes with rule-base which gives relatively specified diagnosis results, high accuracy of fault diagnosis can be guaranteed and knowledge base can be easily extended by adding new causes or symptoms. Some examples using experimental data show the good feasibility of the proposed algorithm for condition monitoring and diagnosis of industrial rotating machinery.

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Review of Radio Frequency Identification and Wireless Technology for Structural Health Monitoring

  • Dhital, Dipesh;Chia, Chen Ciang;Lee, Jung-Ryul;Park, Chan-Yik
    • 비파괴검사학회지
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    • 제30권3호
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    • pp.244-256
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    • 2010
  • Radio frequency identification(RFID) combined with wireless technology has good potential for structural health monitoring(SHM). We describe several advantages of RFID and wireless technologies for SHM, and review SHM examples with working principles, design and technical details for damage detection, heat exposure monitoring, force/strain sensing, and corrosion detection in concrete, steel, carbon fiber reinforced polymer(CFRP), and other materials. Various sensors combined with wireless communication are also discussed. These methodologies can be readily developed, implemented, and customized. There are some technical difficulties, but solutions are being addressed. Lastly, a surface acoustic wave-based RFID system is presented, and possible future trends of SHM based on RFID and wireless technology are presented.

수요예측 모니터링 애플리케이션과 웹의 사례 비교 분석 (A Comparative Analysis of Demand Forecast Monitoring Applications and the Web)

  • 이효원;임소연;이영우;박철우
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 추계학술대회
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    • pp.439-441
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    • 2022
  • 본 연구는 수요예측 알고리즘으로 예측한 데이터와 실시간 데이터를 모니터링하기 위한 모니터링 애플리케이션과 웹 중 전력 수요관리 애플리케이션인 '해줌온', U&E 커뮤니케이션즈에서 사용하는 건설 현장 안전관리 시스템 웹 페이지를 비교하는 연구이다. 해당 연구는 위의 두 개의 대표적인 사례로 웹과 애플리케이션의 UI의 차이점, 장단점, 데이터의 보완 등을 비교하여 적절한 애플리케이션 또는 웹을 파악할 수 있다.

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SHM-based probabilistic representation of wind properties: Bayesian inference and model optimization

  • Ye, X.W.;Yuan, L.;Xi, P.S.;Liu, H.
    • Smart Structures and Systems
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    • 제21권5호
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    • pp.601-609
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    • 2018
  • The estimated probabilistic model of wind data based on the conventional approach may have high discrepancy compared with the true distribution because of the uncertainty caused by the instrument error and limited monitoring data. A sequential quadratic programming (SQP) algorithm-based finite mixture modeling method has been developed in the companion paper and is conducted to formulate the joint probability density function (PDF) of wind speed and direction using the wind monitoring data of the investigated bridge. The established bivariate model of wind speed and direction only represents the features of available wind monitoring data. To characterize the stochastic properties of the wind parameters with the subsequent wind monitoring data, in this study, Bayesian inference approach considering the uncertainty is proposed to update the wind parameters in the bivariate probabilistic model. The slice sampling algorithm of Markov chain Monte Carlo (MCMC) method is applied to establish the multi-dimensional and complex posterior distribution which is analytically intractable. The numerical simulation examples for univariate and bivariate models are carried out to verify the effectiveness of the proposed method. In addition, the proposed Bayesian inference approach is used to update and optimize the parameters in the bivariate model using the wind monitoring data from the investigated bridge. The results indicate that the proposed Bayesian inference approach is feasible and can be employed to predict the bivariate distribution of wind speed and direction with limited monitoring data.

MRI in Breasr Cancer

  • Nalcioglu, Orhan
    • 대한자기공명의과학회:학술대회논문집
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    • 대한자기공명의과학회 2003년도 제8차 학술대회 초록집
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    • pp.67-68
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    • 2003
  • We will present work done at our institution on the use of MRI in breast cancer. The presentation will start by describing a compartmental model that has been used by us since 1993 in studying tumor vascular function in animal models and humans. The employment of this method for diagnosis, therapy monitoring, and disease prognosis in breast cancer will be presented with examples.

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Optimal sensor placement for bridge damage detection using deflection influence line

  • Liu, Chengyin;Teng, Jun;Peng, Zhen
    • Smart Structures and Systems
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    • 제25권2호
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    • pp.169-181
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    • 2020
  • Sensor placement is a crucial aspect of bridge health monitoring (BHM) dedicated to accurately estimate and locate structural damages. In addressing this goal, a sensor placement framework based on the deflection influence line (DIL) analysis is here proposed, for the optimal design of damage detection-oriented BHM system. In order to improve damage detection accuracy, we explore the change of global stiffness matrix, damage coefficient matrix and DIL vector caused by structural damage, and thus develop a novel sensor placement framework based on the Fisher information matrix. Our approach seeks to determine the contribution of each sensing node to damage detection, and adopts a distance correction coefficient to eliminate the information redundancy among sensors. The proposed damage detection-oriented optimal sensor placement (OSP) method is verified by two examples: (1) a numerically simulated three-span continuous beam, and (2) the Pinghu bridge which has existing real damage conditions. These two examples verify the performance of the distance corrected damage sensitivity of influence line (DSIL) method in significantly higher contribution to damage detection and lower information redundancy, and demonstrate the proposed OSP framework can be potentially employed in BHM practices.

유한요소해석 후처리 기법을 이용한 용접부의 건전성 평가 (Health Monitoring of Weldment By Post-processing Approach Using Finite Element Analysis)

  • 이제명;백점기;강성원;김명현
    • 한국해양공학회지
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    • 제16권4호
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    • pp.32-36
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    • 2002
  • In this paper, a numerical methodology for health monitoring of weldment was proposed using finite element method coupled with continuum damage mechanics. The welding-induced residual stress distribution of T-joint weldment was calculated using a commercial finite element package SYSWELD+. The distribution of latent damage was evaluated from the stress and strain components taken as the output of a finite element calculation. Numerical examples were given to demonstrate the usefulness of this so-called "post-processing approach" in the case of welding-induced damage assessment.

대규모 지하공동의 파괴거동 예측 및 지반제어를 위한 종합시스템 (Comprehensive Monitoring System for the Prediction of Failure Behavior and the Ground Control of Large Scale Underground Excavation)

    • 터널과지하공간
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    • 제8권2호
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    • pp.130-138
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    • 1998
  • Comprehensive monitoring system for the safe and economical excavation of underground opening has been established by employing the 3 independent models each of which can i) predict the ultimate convergence, ii) assess the in-situ stresses and the elastic modulus of excavating rock, iii) calculate the time-dependent opening behavior with respect to the face advance rate and support pressure at the equilibrium state. Accuracy of each model has been verified through illustrative examples. The step-by-step procedures of comprehensive monitoring system for analyzing the rock behavior and the optimum support installation has been explained. The capability and applicability of this system to the practical excavation also has been discussed.

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안전한 탄 발사시험을 위한 모니터링 시스템 개발에 관한 연구 (Study on Developing a Monitoring System for Safe Fire Testing)

  • 기재석
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2005년도 춘계학술대회
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    • pp.453-459
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    • 2005
  • On this research, we show some concrete examples as software design, 2D/3D display, graph display, and gage display to develop a data monitoring system for real time safe fire testing. Developed software which is simulation software for live fire testing, has been designed to display informations about whole test status in a live fire testing, and with this, user can control a live fire testing under the safe environment. Beside, we increase a security by using a authority of user to access on this software. and we develop it based on module designed to apply a requirement of user later on.

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