• 제목/요약/키워드: Curve fitting method

검색결과 418건 처리시간 0.029초

곡선맞춤법을 이용한 선체상부구조 모델의 진동해석 (Experimental Vibration Analysis of a Super-Structure Model Using Curve Fitting Method)

  • 오창근;제해광;박석주
    • 한국항해항만학회지
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    • 제26권3호
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    • pp.281-288
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    • 2002
  • 진동해석과 기술에 있어서 실험과 해석분야 모두 다 같이 발전한 것은 사실이지만, 실험해석법은 유한요소법과 같은 이론해석법만큼 발달한 것이라 할 수 없을 것이다. 그 이유 중에 하나로 비선형 방정식을 푸는데 있어 초기치의 선택에 따라 계산시간이 길어지고 해가 종종 발산하기도 하기 때문이다. 일반적으로 실험모드해석에 있어 방정식은 고유진동수와 감쇠비의 비선형 항과 등가강성의 선형 항으로 구성된다. 본 연구에서는 비선형 항을 먼저 구하고, 다음에 선형 항을 구하였다. 개발된 실험모드해석법(곡선맞춤법)을 선체상부구조 모델에 적용하여, 모드 특성치들을 계산하였다. 또한 개발된 프로그램은 그래픽기법을 적용하여 간단한 마우스 조작으로 채용 모드수와 감쇠비를 결정할 수 있도록 하였다.

Approximate voronoi diagrams for planar geometric models

  • Lee, Kwan-Hee;Kim, Myung-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.1601-1606
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    • 1991
  • We present an algorithm to approximate the Voronoi diagrams of 2D objects bounded by algebraic curves. Since the bisector curve for two algebraic curves of degree d can have a very high algebraic degree of 2 * d$^{4}$, it is very difficult to compute the exact algebraic curve equation of Voronoi edge. Thus, we suggest a simple polygonal approximation method. We first approximate each object by a simple polygon and compute a simplified polygonal Voronoi diagram for the approximating polygons. Finally, we approximate each monotone polygonal chain of Voronoi edges with Bezier cubic curve segments using least-square curve fitting.

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Computer용 Monitor에 대한 신뢰성 예측.확인 방법의 응용 (A Study on A, pp.ication of Reliability Prediction & Demonstration Methods for Computer Monitor)

  • 박종만;정수일;김재주
    • 품질경영학회지
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    • 제25권3호
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    • pp.96-107
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    • 1997
  • The recent stream to reliability prediction is that it is totally inclusive in depth to consider even the operating and environmental condition at the level of finished goods as well as component itselves. In this study, firstly we present the reliability prediction methods by entire failure rate model which failure rate at the system level is added to the failure rate model at the component level. Secondly we build up the improved bases of reliability demonstration through a, pp.ication of Kaplan-Meier, Cumulative hazard, Johnson's methods as non-parametric and Maximum Likelihood Estimator under exponential & Weibull distribution as parametric. And also present the methods of curve fitting to piecewise failure rate under Weibull distribution, PRST (Probability Ratio Sequential Test), curve fitting to S-shaped reliability growth curve, computer programs of each methods. Lastly we show the practical for determination of optimal burn-in time as a method of reliability enhancement, and also verify the practical usefulness of the above study through the a, pp.ication of failure and test data during 1 year.

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전력계통의 정전복구시 고조파 공진억제를 위한 완충부하투입량 예측에 관한 연구 (A Study on the Damping Loads Prediction to prevent Harmonic Resonance during the Power System Restoration)

  • 이흥재;유원근
    • 전기학회논문지
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    • 제62권7호
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    • pp.913-917
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    • 2013
  • During the restoration process of primary restorative transmission system, some over voltages may happen due to nonlinear interaction between unloaded transformers and transmission systems. These over voltages caused by harmonic resonance can be suppressed by inserting damping loads before energizing transformers. But it is very difficult to predict the occurrence possibility of harmonic resonance and complex simulation must be repeated to estimate the sufficient damping loads. This paper presents a damping loads prediction system to prevent harmonic resonance. Detailed analysis of the relationship between harmonic resonance and the amount of damping loads is discussed. The prediction system is developed using a curve fitting and a neural network based on this relationship. A curve fitting used a Gaussian function based on non-linear least square method and multi-layer back-propagation neural network is applied. The system is applied to primary restorative transmission lines in korean power system and the result showed satisfactory performance.

뉴로퍼지추론을 이용한 재질온도응답 분류시스템의 개발 (Development of Classification System for Material Temperature Responses Using Neuro-Fuzzy Inference)

  • 유영재
    • 센서학회지
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    • 제9권6호
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    • pp.440-447
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    • 2000
  • 본 논문에서는 곡선근사법과 뉴로퍼지 시스템의 열전도도 추론을 이용하여 대기온도의 변화에 관계없이 재질의 온도응답을 분류하기 위한 시스템을 제안한다. 재질의 온도응답은 정상상태에 도달하는데 장시간이 소요되며, 과도상태에서는 잡음을 포함하고 있기 때문에 실용화하는데 문제점이 있다. 제안하는 방법은 온도응답곡선의 과도상태만을 곡선근사법에 의해 지수함수화함으로써 단시간에 계측이 가능하고 측정중의 잡음을 없앨 수 있다. 뉴로퍼지 추론을 이용하여 임의의 대기온도 하에서 재질의 열전도도를 추론함으로써 열전도 특성의 복잡한 성질을 수학적으로 해석해야하는 문제점을 극복하였다. 이를 위해 인간의 손가락과 유사한 구조의 재질 온도응답센서를 제작하고, 하드웨어를 구현하였으며, 곡선근사화와 뉴로퍼지 알고리즘에 의한 분류 소프트웨어를 개발하였다.

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Gaussian Model for Laser Image on Curved Surface

  • Annmarie Grant;Sy-Hung Bach;Soo-Yeong Yi
    • Current Optics and Photonics
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    • 제7권6호
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    • pp.701-707
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    • 2023
  • In laser imaging, accurate extraction of the laser's center is essential. Several methods exist to extract the laser's center in an image, such as the geometric mean, the parabolic curve fitting, and the Gaussian curve fitting, etc. The Gaussian curve fitting is the most suitable because it is based on the physical properties of the laser. The width of the Gaussian laser beam depends on the distance from the laser source to the target object. It is assumed in general that the distance remains constant at a laser spot resulting in a symmetric Gaussian model for the laser image. However, on a curved surface of the object, the distance is not constant; The laser beam is narrower on the side closer to the focal point of the laser light and wider on the side closer to the laser source, which causes the distribution of the laser beam to skew. This study presents a modified Gaussian model in the laser imaging to incorporate the slant angle of a curved object. The proposed method is verified with simulation and experiments.

A simplified directly determination of soil-water retention curve variables

  • Niu, Geng;Shao, Longtan;Guo, Xiaoxia
    • Geomechanics and Engineering
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    • 제23권5호
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    • pp.431-439
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    • 2020
  • Soil-water retention curve (SWRC) contains key information for the application of unsaturated soil mechanics principles to engineering practice. The SWRC variables are commonly used to describe the hydro-mechanics of soils. Generally, these parameters are determined using the graphical method which can be time consuming. The SWRC is highly dependent on the pore size distribution (PSD). Theoretically, the PSD obtained by mercury intrusion porosimetry test can be used to determine some SWRC variables. Moreover, the relationship between SWRC and shrinkage curve has been investigated. A new method to determine total SWRC variables directly without curve-fitting procedure is proposed. Substituting the variables into linear SWRC equations construct SWRC. A good agreement was obtained between predicted and measured SWRCs, indicating the validity of the proposed method for unimodal SWRC.

질량 스펙트럼 분석기를 위한 부가잡음제거 알고리즘 (Additive Noise Reduction Algorithm for Mass Spectrum Analyzer)

  • 최훈;이임건
    • 한국정보통신학회논문지
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    • 제22권1호
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    • pp.33-39
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    • 2018
  • 질량 스펙트럼 분석 시스템을 위한 부가 잡음제거 알고리즘을 제안하였다. 측정된 이온 신호로부터 먼저 백색 가우시안 특성을 갖는 바닥 잡음의 제거를 위해 측정된 신호의 최빈값으로부터 추정된 임계값을 사용하였다. 또한 각각의 질량 지수에 해당하는 신호 블록을 구성하여 이 신호 블록에 대한 2차 커브 피팅 및 선형 근사를 수행한다. 이 과정에서 임펄스성 잡음과 정상적인 이온 신호로 보기에 불충분한 샘플 신호들을 제거함으로써 이온 신호만으로 구성된 유효 신호 블록을 재 구성할 수 있다. 이 유효 신호 블록에 대한 커브 피팅 곡선으로부터 잡음이 제거된 질량 스펙트럼을 얻을 수 있다. 제안한 방법의 성능평가를 위해 개발장비로부터 취득된 신호를 이용한 시뮬레이션을 수행하였다. 시뮬레이션 결과를 통해 최빈값으로부터 추정된 임계값 설정의 타당함과 제안한 커브 피팅 및 선형 근사기반 잡음제거 알고리즘의 우수성을 보였다.

Flux Cored Arc용접용 아크센서의 개발 및 이를 이용한 용접선 추적에 관한 연구 (A Study on the Development of Arc Sensor for Flux Cored Arc Welding Process and its Application for Seam Tracking)

  • 김수영;이승영;나석주
    • Journal of Welding and Joining
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    • 제10권4호
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    • pp.190-198
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    • 1992
  • Among the variety of welding processes available, the flux cored arc welding is one of the most frequently used process, because of its wide range of application and high productivity. The weld joint tracking is indispensable to improve the flexibility of the arc welding robot application for the flux cored arc welding (FCAW) process. In this study, an arc sensor which utilizes the electrical signal obtained from the welding arc itself was developed for weld joint tracking in FCAW. Because a model of the welding arc in flux cored arc welding was required to develop the arc sensor, a mathematical model was proposed by analysing the welding arc behaviour, and also an experimental model by using the factorial experiment and least square method. For overcoming the fluctuation in the welding current signal during tracking the weld joint, it was fitted to a curve which is inversely proportional to a trace of tip-to-workpiece distance by using the quadratic curve-fitting method.

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자동차용 실리콘 와이어 씰의 조립과정에 관한 변형해석 (Deformation Analysis on Assembly Process of Silicone Wire Seal for Automobile)

  • 김진광
    • 동력기계공학회지
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    • 제21권6호
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    • pp.86-93
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    • 2017
  • Silicone rubber wire seals are widely used in automotive connector systems for waterproofing and so on. The purpose of this paper is to predict and evaluate the sealing performance of wire seals using finite element analysis. The material properties of the rubber seals were determined by the curve fitting of uniaxial tensile test and equibiaxial tensile test data. The response surface method was used to determine the optimum shape of the wire seal. In order to verify the accuracy and reliability of the simulations on the deformation prediction of wire seals, experiments were also carried out.