• 제목/요약/키워드: Probabilistic model

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초소형 광자기 드라이브용 HGA의 신뢰성 및 충격 해석 (Probabllistic and Shock Analysis of Head-gimbal Assembly in Micro MO Drives)

  • 오우석;박노철;양현석;박영필;홍어진
    • 한국소음진동공학회논문집
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    • 제14권12호
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    • pp.1347-1353
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    • 2004
  • With respect to the researches of the optical flying head(OFH) , the head-gimbal assembly should be analyzed to guarantee the stable fabrication and the characteristics of shock resistance. The suitable design is proved through the Probabilistic analysis of the design parameters and material properties of the model. Probabilistic analysis is a technique that be used to assess the effect of uncertain input parameters and assumptions on your analysis model. Using a probabilistic analysis you can find out how much the results of a finite elements analysis are affected by uncertainties in the model. Another factor is analysis of the dynamic shock analysis. For the mobile application, one of the important requirements is durability under severe environmental condition, especially, resistance to mechanical shock. An important challenge in the disk recording is to improve disk drive robustness in shock environments. If the system comes in contact with outer shock disturbance. the system gets critical damage in head-gimbal assembly or disk. This paper describes probabilistic and dynamic shock analysis of head-gimbal assembly in micro MO drives using OFH slider.

Probabilistic analysis of peak response to nonstationary seismic excitations

  • Wang, S.S.;Hong, H.P.
    • Structural Engineering and Mechanics
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    • 제20권5호
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    • pp.527-542
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    • 2005
  • The main objective of this study is to examine the accuracy of the complete quadratic combination (CQC) rule with the modal responses defined by the ordinates of the uniform hazard spectra (UHS) to evaluate the peak responses of the multi-degree-of-freedom (MDOF) systems subjected to nonstationary seismic excitations. For the probabilistic analysis of the peak responses, it is considered that the seismic excitations can be modeled using evolutionary power spectra density functions with uncertain model parameters. More specifically, a seismological model and the Kanai-Tajimi model with the boxcar or the exponential modulating functions were used to define the evolutionary power spectral density functions in this study. A set of UHS was obtained based on the probabilistic analysis of transient responses of single-degree-of-freedom systems subjected to the seismic excitations. The results of probabilistic analysis of the peak responses of MDOF systems were obtained, and compared with the peak responses calculated by using the CQC rule with the modal responses given by the UHS. The comparison seemed to indicate that the use of the CQC rule with the commonly employed correlation coefficient and the peak modal responses from the UHS could lead to significant under- or over-estimation when contributions from each of the modes are similarly significant.

웹 미디어 시스템을 위한 확률 분포 함수와 사용자 프로파일에 기반 한 동적 적응 모델 (Dynamic Adaptive Model based on Probabilistic Distribution Functions and User's Profile for Web Media Systems)

  • 백영태;이세훈
    • 컴퓨터교육학회논문지
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    • 제6권1호
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    • pp.29-39
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    • 2003
  • 이 논문에서는 웹 미디어(웹 기반의 하이퍼미디어) 시스템에서 이산 확률 분포 함수와 사용자 프로파일 기반의 동적 적응 모델을 제안하였다. 이 모델은 응용 영역을 동적 적응 객체의 가중치 방향성 그래프로 표현하며, 사용자 행위를 이산 확률 함수를 동적으로 구축하는 접근 방식을 이용하여 모델링한다. 제안한 확률적 해석은 웹 미디어 구조에서 사용자의 탐색 행위를 추적하여 사용자 행위에 대한 잠재적 속성을 나타내는데 사용될 수 있다. 이러한 접근 방식은 사용자에게 가장 알맞은 프로파일을 동적으로 할당할 수 있다.

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NUCLEAR FUEL CYCLE COST ESTIMATION AND SENSITIVITY ANALYSIS OF UNIT COSTS ON THE BASIS OF AN EQUILIBRIUM MODEL

  • KIM, S.K.;KO, W.I.;YOUN, S.R.;GAO, R.X.
    • Nuclear Engineering and Technology
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    • 제47권3호
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    • pp.306-314
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    • 2015
  • This paper examines the difference in the value of the nuclear fuel cycle cost calculated by the deterministic and probabilistic methods on the basis of an equilibrium model. Calculating using the deterministic method, the direct disposal cost and Pyro-SFR (sodium-cooled fast reactor) nuclear fuel cycle cost, including the reactor cost, were found to be 66.41 mills/kWh and 77.82 mills/kWh, respectively (1 mill = one thousand of a dollar, i.e., $10^{-3}$ $). This is because the cost of SFR is considerably expensive. Calculating again using the probabilistic method, however, the direct disposal cost and Pyro-SFR nuclear fuel cycle cost, excluding the reactor cost, were found be 7.47 mills/kWh and 6.40 mills/kWh, respectively, on the basis of the most likely value. This is because the nuclear fuel cycle cost is significantly affected by the standard deviation and the mean of the unit cost that includes uncertainty. Thus, it is judged that not only the deterministic method, but also the probabilistic method, would also be necessary to evaluate the nuclear fuel cycle cost. By analyzing the sensitivity of the unit cost in each phase of the nuclear fuel cycle, it was found that the uranium unit price is the most influential factor in determining nuclear fuel cycle costs.

바이오 셀 정보 추출을 위한 확률 모델 (Probabilistic model for bio-cells information extraction)

  • 석경휴;박성호
    • 한국전자통신학회논문지
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    • 제6권5호
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    • pp.649-656
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    • 2011
  • 본 논문에서는 유전자 생물학 분야의 여러 각도로 세포 간 네트워크를 분석하고, 유전자 생물학 분야를 정보공학 네트워크에 응용하여 수치학적인 표현 모델로 분석 연구하고자 한다. 확률적 그래프 모델을 사용하여 데이터 네트워크로부터 생물학적 통찰력을 확률적 함수적으로 응용해, 복잡한 세포 간 네트워크 보다 단순한 하부모델로 구성하여 유전자 베이스네트워크 논리를 유전자 표현 레벨로 나타낸다. 유전자 데이터로부터 확률적 그래프 모델들을 분석하여 유전자 표현 데이터를 정보공학 네트워크 모델의 방법으로 확장 추론한다.

Probabilistic Power Flow Studies Incorporating Correlations of PV Generation for Distribution Networks

  • Ren, Zhouyang;Yan, Wei;Zhao, Xia;Zhao, Xueqian;Yu, Juan
    • Journal of Electrical Engineering and Technology
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    • 제9권2호
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    • pp.461-470
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    • 2014
  • This paper presents a probabilistic power flow (PPF) analysis method for distribution network incorporating the randomness and correlation of photovoltaic (PV) generation. Based on the multivariate kernel density estimation theory, the probabilistic model of PV generation is proposed without any assumption of theoretical parametric distribution, which can accurately capture not only the randomness but also the correlation of PV resources at adjacent locations. The PPF method is developed by combining the proposed PV model and Monte Carlo technique to evaluate the influence of the randomness and correlation of PV generation on the performance of distribution networks. The historical power output data of three neighboring PV generators in Oregon, USA, and 34-bus/69-bus radial distribution networks are used to demonstrate the correctness, effectiveness, and application of the proposed PV model and PPF method.

Probabilistic assessment on buckling behavior of sandwich panel: - A radial basis function approach

  • Kumar, R.R.;Pandey, K.M.;Dey, S.
    • Structural Engineering and Mechanics
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    • 제71권2호
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    • pp.197-210
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    • 2019
  • Probabilistic buckling behavior of sandwich panel considering random system parameters using a radial basis function (RBF) approach is presented in this paper. The random system properties result in an uncertain response of the sandwich structure. The buckling load of laminated sandwich panel is obtained by employing higher-order-zigzag theory (HOZT) coupled with RBF and probabilistic finite element (FE) model. The in-plane displacement variation of core as well as facesheet is considered to be cubic while transverse displacement is considered to be quadratic within the core and constant in the facesheets. Individual and combined stochasticity in all elemental input parameters (like facesheets thickness, ply-orientation angle, core thickness and properties of material) are considered to know the effect of different degree of stochasticity, ply- orientation angle, boundary conditions, core thickness, number of laminates, and material properties on global response of the structure. In order to achieve the computational efficiency, RBF model is employed as a surrogate to the original finite element model. The stiffness matrix of global response is stored in a single array using skyline technique and simultaneous iteration technique is used to solve the stochastic buckling equations.

확률적 자료연계의 이론과 적용에 관한 연구 (A study on the probabilistic record linkage and its application)

  • 최연옥;이상인
    • 응용통계연구
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    • 제34권5호
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    • pp.849-861
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    • 2021
  • 본 논문은 확률적 자료연계 방법의 기본 개념과 이론적 모형을 소개하고, 실제 통계청 데이터를 사용하여 확률적 자료연계가 진행되는 과정과 원리를 보여준다. 먼저 확률적 자료연계와 결정적 자료연계와의 차이를 간단히 알아보고, 확률적 자료연계 방법론의 토대가 되는 Fellegi-Sunter 모형의 기본 구성과 관련된 모수(m-확률, u-확률), 가중치, 매치여부 판정기준에 대해 기술한다. 그리고 통계청 등록센서스와 인구총조사 자료를 이용하여 그 모형을 적용한 자료연계가 이루어지는 구체적인 과정에 대해 설명하고, 이를 통해 얻어진 연계 결과의 정확성을 살펴본다.

Deriving a Probabilistic Model for Fatigue Life Based on Physical Failure Mechanism

  • Suneung Ahn
    • 산업경영시스템학회지
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    • 제24권68호
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    • pp.1-7
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    • 2001
  • A probabilistic model for fatigue life of a structural component is derived when the component is in a variable-amplitude loading environment. The physical mechanism which governs fatigue failure is used to model the fatigue life. Especially, the judgement of rotational symmetry in the-stress-intensity-factors results in the probability distribution for fatigue life. The probability distribution is related to the familiar truncated Gaussian distribution, which has a single parameter with a direct physical meaning.

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경제급전방식에 의한 확률적 운전비계산 모델 (Probabilistic Production Costing Model based on Economic Load Dispatch)

  • 심건보;이봉용;신종린;김정훈
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(I)
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    • pp.640-643
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    • 1987
  • A probabilistic production costing model based on the economic load dispatch has been developed. Objective function is composed of fuel cost which is a function of generation output and the failure cost. Coefficients of the failure cost is determined from the known equivalent generation cost. The model is compared with other existing methodolgies and the excellent results are obtained.

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