• Title/Summary/Keyword: Location prediction

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PREDICTION OF AIRFOIL CHARACTERISTICS WITH VARIOUS TURBULENCE MODELING (다양한 난류 모텔에 따른 익형 특성 예측)

  • Kim, C.W.;Lee, Y.G.;Lee, J.Y.
    • 한국전산유체공학회:학술대회논문집
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    • 2007.04a
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    • pp.50-52
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    • 2007
  • In the present paper, some difficulties encountered in predicting airfoil characteristics are described and solutions for those problems are discussed Since drag is determined by the amounts of pressure and, especially, shear stress, accurate estimation of shear stress is very crucial. However shear stress computation is dependent on the grid density and turbulence model, it should be consistent in preparing grid and turbulence model. When the transition from laminar to turbulent happen at the middle of airfoil, CFD solver should divide the region into laminar and turbulent region based on the transition location.

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Combustion Instability Prediction Using 1D Thermoacoustic Model in a Gas Turbine Combustor (가스터빈 연소기에서 1D 열음향 모델을 이용한 연소불안정 예측)

  • Kim, Jin Ah;Kim, Daesik
    • Journal of ILASS-Korea
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    • v.20 no.4
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    • pp.241-246
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    • 2015
  • The objective of the current study is to develop an 1D thermoacoustic model for predicting basic characteristics of combustion instability and to investigate effects of key parameters on the instabilities such as effects of flame geometry and acoustic boundary conditions. Another focus of the paper is placed on limit cycle prediction. In order to improve the model accuracy, the 1D model was modified considering the actual flame location and flame length (i.e. distribution of time delay). As a result, it is found that the reflection coefficients have a great effect on the growth rate of the instabilities. In addition, instability characteristics are shown to be strongly dependent upon the fuel compositions.

Analysis on Electrical Characteristics of PV Cells considering Ambient Temperature and Irradiance Level (주변온도와 일사량을 고려한 PV Cell의 전기적 특성 분석)

  • Park, Hyeonah;Kim, Hyosung
    • The Transactions of the Korean Institute of Power Electronics
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    • v.21 no.6
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    • pp.481-485
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    • 2016
  • When analyzing economic feasibility for installing a PV generation plant at a certain location, the prediction of possible annual power production at the site using the target PV panels should be conducted on the basis of the local weather data provided by a local weather forecasting office. In addition, the prediction of PV generating power under certain weather conditions is useful for fault diagnosis and performance evaluation of PV generation plants during actual operation. This study analyzes PV cell characteristics according to a variety of weather conditions, including ambient temperature and irradiance level. From the analysis and simulation results, this work establishes a proper model that can predict the output characteristics of PV cells under changes in weather conditions.

A Study on Adaptive Moving Method of Search Region (탐색 영역의 적응적 이동에 관한 연구)

  • 김진태;이석호;최종수
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.8
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    • pp.129-136
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    • 1994
  • In this paper an adaptive moving method of the search region tracking the motion is proposed. The search region in BMA is determined by the capability of hardware implementation and the degree of motion. But once determined nothing can be changed during coding procedure. In this paper we predict the level of motion of the current block using motion vectors of previous frames without overhead information and change the location of the search region according to the level of the motion predicted. In short the proposed method can be archieved the dsirable effect such that the size of search region gets large when the motion is large. Results of experiments show that prediction efficiency has been improved by using adaptive moving method resulting in reduced prediction error in the blocks with large motion.

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A Life Prediction of Insulation Degradation Using Regression Analysis (회귀분석을 이용한 절연열화의 수명예측)

  • 김성홍;김재환;박재준;김순기;심종탁;최재관;이영상
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1997.11a
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    • pp.302-305
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    • 1997
  • Treeing due to partial discharge(PD) is one of the main causes of breakdown of the insulating materials and reduction of tile insulation life. Therefore the necessity for establishing a method to diagnose the aging of insulation materials and to predict the breakdown of insulation has become important. From this viewpoint, our studies diagnose insulation degradation using the method of computer sensing system, which has the advantages of PD and acoustic emission(AE) sensing system. To use advantages of these two methods can be used effectively to search for treeing location and PD in some materials. In analysis method of degradation. using statically operator such as the center of gravity (G). the gradient of the discharge distribution(C), we have analyzed far tole prediction of life which we can be obtained the time, occurred of many pulse of small discharge amplitude.

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Application of Multiple Regression Method to Prediction of Noise Level in Ship Cabins (회귀분석법에 의한 선박 소음 예측에 관한 연구)

  • Dong-Hae Kim;Kyoon-Yang Chung
    • Journal of the Society of Naval Architects of Korea
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    • v.31 no.3
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    • pp.112-118
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    • 1994
  • In this paper, statistical approach to prediction of A-weighted noise level in ship cabins. based on multiple linear regression analysis, is conducted. The best regression formula is composed of seven parameters of the deadweight, the type of ship, the location of engines and cabins, the type of deckhouse and the propeller skew angle. Verification work was carried out with other 210 cabins' data in 6 ships. As a result, the formula ensures the accuracy of 3 dB(A) in 77 % of cases.

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Numerical Simulation for Prediction of Existing Cavity Location on Explosion-Induced Building Collapse (폭발에 의한 건축물 붕괴 시 매몰공동 위치 예측에 관한 수치해석 사례 연구)

  • Jung, Jahe;Park, Hoon;Kim, Kwang Yeom;Shin, Hyu-Soung
    • Journal of the Korean Society of Safety
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    • v.30 no.6
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    • pp.94-101
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    • 2015
  • When a severe disaster such as a building collapse occurs, a first priority for rapid rescue is to find a location where people are highly expected to be buried but alive. It is, however, very difficult to correctly designate the location of such cavities by conventional geophysical survey due to a pile of debris of building members. In this study, location of possible lifeguard cavities were evaluated through a series of simulations of building collapse by explosion depending on the height of the building, a structure of basement floor and a location of explosion. Three types of building structure: five-story, ten-story and fifteen-story were prepared as a model for the simulation. As a results, in the case of low building, only basement floor partially collapsed. On the other hand, in the case of high building, a collapsed range on the inside of the building increased and lifeguard spaces were formed only in the lateral side or corner of the building. In addition, when a wall exists in the basement floor, the possibility that cavities could be formed increased compared to the cases without wall. However, for the fifteen-story building case, no possible lifeguard cavity was found. It is noted that for a high rise building, the height of building more affect forming of safeguard cavity than the structure of the basement floor.

(Theoretical Analysis and Performance Prediction for PSN Filter Tracking) (PSN 픽터의 해석 및 추적성능 예측)

  • Jeong, Yeong-Heon;Kim, Dong-Hyeon;Hong, Sun-Mok
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.39 no.2
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    • pp.166-175
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    • 2002
  • In this paper. we predict tracking performance of the probabilistic strongest neighbor filter (PSNF). The PSNF is known to be consistent and superior to the probabilistic data association filter (PDAF) in both performance and computation. The PSNF takes into account the probability that the measurement with the strongest intensity in the neighborhood of the predicted target measurement location is not target-originated. The tracking performance of the PSNF is quantified in terms of its estimation error covariance matrix. The estimation error covariance matrix is approximately evaluated by using the hybrid conditional average approach (HYCA). We performed numerical experiments to show the validity of our performance prediction.

Prediction of the Combustion Performance in the Coal-fired Boiler using Response Surface Method (반응표면법을 이용한 석탄 화력 보일러 연소특성 예측)

  • Shin, Sung Woo;Kim, Sin Woo;Lee, Eui Ju
    • Journal of the Korean Society of Safety
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    • v.32 no.1
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    • pp.27-32
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    • 2017
  • The experimental design methodology was applied in the real scale coal-fired boiler to predict the various combustion properties according to the operating conditions and to assess the coal plant safety. Response surface method (RSM) was introduced as a design of experiment, and the database for RSM was provided with the numerical simulation of the coal-fired boiler. The three independent variables, high heating value of coal (HHV), overall stoichiometry excess air ratio (OST), and burner-side stoichiometry excess air ratio (BST), were set to characterize the cross section averaged NOx concentration and temperature distribution. The maximum NOx concentration was predicted accurately and mainly controlled by BST in the boiler. The parabola function was assumed for the zone averaged peak temperature distribution, and the prediction was in a fairly good agreement with the experiments except downstream. Also, the location of the peak temperature was compared with that of maximum NOx, which implies that thermal NOx formation is the main mechanism in the coal-fired boiler. These results promise the wide use of statistical models for the fast prediction and safety assessment.

Damage Prediction in Reinforced Concrete Structures using Modal Response Parameters (진동모드특성치를 이용한 철근콘크리트 구조물의 손상예측)

  • 김정태
    • Magazine of the Korea Concrete Institute
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    • v.6 no.6
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    • pp.180-189
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    • 1994
  • A practical methodology to detect and localm da~nagc in rcinforced concrete structures by utilizing modal response parameters of as built and tiamaged states is presented. First, a damage detection algorithm which yields information on the, location of damage directly from changes in mode shapes of structures is outlined. Next, the algorithm is implemented to detec and localize damage in a real, 1 1/3 scale, reinforced concrete structure. A set of pre-damage and post damage modal parameters are used for I he damage detection exercise. The results of the damage prediction show that the proposed algorithm can correctly locate the damage inflicted in the test structure.