• Title/Summary/Keyword: regression line

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Loss Minimization Control for Induction Generators in Wind Power Systems Using Support Vector Regression

  • Abo-Khalil, Ahmed G.;Lee, Dong-Choon
    • Proceedings of the KIEE Conference
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    • 2006.04b
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    • pp.344-346
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    • 2006
  • In this paper, a novel algorithm for increasing the steady state efficiency during light load operation of the induction generator that integrated with a wind power generation system is presented. The proposed algorithm based on the flux level reduction, where the flux level is estimated using Support-Vector -Machines for regression (SVR) for the optimum d-axis current of the generator. SVR is trained off-line to estimate the unknown mapping between the system's inputs and outputs, and then is used online to calculate the optimum d-axis current for minimizing generator loss. The experimental results show that SVR can define the flux-power loss accurately and determine the optimum d-axis current value precisely. The loss minimization process is more effective at low wind speed and the percent of power saving can approach to 40%.

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A cautionary note on the use of Cook's distance

  • Kim, Myung Geun
    • Communications for Statistical Applications and Methods
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    • v.24 no.3
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    • pp.317-324
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    • 2017
  • An influence measure known as Cook's distance has been used for judging the influence of each observation on the least squares estimate of the parameter vector. The distance does not reflect the distributional property of the change in the least squares estimator of the regression coefficients due to case deletions: the distribution has a covariance matrix of rank one and thus it has a support set determined by a line in the multidimensional Euclidean space. As a result, the use of Cook's distance may fail to correctly provide information about influential observations, and we study some reasons for the failure. Three illustrative examples will be provided, in which the use of Cook's distance fails to give the right information about influential observations or it provides the right information about the most influential observation. We will seek some reasons for the wrong or right provision of information.

Optimization of Process Parameters Using a Genetic Algorithm for Process Automation in Aluminum Laser Welding with Filler Wire (용가 와이어를 적용한 알루미늄 레이저 용접에서 공정 자동화를 위한 유전 알고리즘을 이용한 공정변수 최적화)

  • Park, Young-Whan
    • Journal of Welding and Joining
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    • v.24 no.5
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    • pp.67-73
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    • 2006
  • Laser welding is suitable for welding to the aluminum alloy sheet. In order to apply the aluminum laser welding to production line, parameters should be optimized. In this study, the optimal welding condition was searched through the genetic algorithm in laser welding of AA5182 sheet with AA5356 filler wire. Second-order polynomial regression model to estimate the tensile strength model was developed using the laser power, welding speed and wire feed rate. Fitness function for showing the performance index was defined using the tensile strength, wire feed rate and welding speed which represent the weldability, product cost and productivity, respectively. The genetic algorithm searched the optimal welding condition that the wire feed rate was 2.7 m/min, the laser power was 4 kW and the welding speed was 7.95 m/min. At this welding condition, fitness function value was 137.1 and the estimated tensile strength was 282.2 $N/mm^2$.

Development of Inspection Methods for Bearing Faults with a Rapid Change of Rotation Speed and Optimization of Pass/Fail Criteria (회전 속도가 급격히 변화하는 베어링의 양부 검사 기법 개발 및 검사 기준 최적화)

  • Yang, Won Seok;Lee, Won Pyo;Lee, Jong Woo
    • Transactions of the Korean Society of Automotive Engineers
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    • v.25 no.3
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    • pp.273-286
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    • 2017
  • We develop an inspection method for bearing faults with a rapid change in the rotation speed and present indexes for the pass/fail inspection. At the end of line, impulse noises generated by the operation of machines and conveyors may distort the inspection results. In this paper, we present robust inspection indexes for bearing faults under impulse noises, by taking into account fault signals having pulse train. Using logistic regression, we optimize the pass/fail criterion for each index and evaluate the performance of the inspection indexes based on the total error rate.

DC-Link Capacitance Estimation using Support Vector Regression in AC/DC/AC PWM Converters (SVR을 이용한 AC/DC/AC PWM 컨버터의 직류링크 커패시턴스 추정)

  • Ahmed G. Abo-Khalil;Jang, Jeong-Ik;Lee, Dong-Choon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.1
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    • pp.81-87
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    • 2007
  • This paper proposes a new capacitance estimation scheme for a DC-link capacitor in a three-phase AC/DC/AC PWM converter. A controlled AC voltage with a lower frequency than the line frequency is injected into the DC-link voltage, which then causes AC power ripples at the DC side. By extracting the AC voltage and power components on the DC output side using digital filters, the capacitance can then be calculated using the Support Vector Regression (SVR). By training of SVR, a function which relates a given input (capacitor's power) and its corresponding output (capacitance value) can be derived. This function is used to predict outputs for given inputs that are not included in the training set. The proposed method does not require the information of DC-link current and can be simply implemented with only software and no additional hardware. Experimental results confirm that the estimation error is less than 0.16%.

Nonparametric Method using Placement in an Analysis of a Covariance Model

  • Hwang, Dong-Min;Kim, Dong-Jae
    • Communications for Statistical Applications and Methods
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    • v.19 no.5
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    • pp.721-729
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    • 2012
  • Various methods control the influence of a covariate on a response variable. These methods are analysis of covariance(ANCOVA), RANK ANCOVA, ANOVA of (covariate-adjusted) residuals, and Kruskal-Wallis tests on residuals. Covariate-adjusted residuals are obtained from the overall regression line fit to the entire data set that ignore the treatment levels or factors. It is demonstrated that the methods on covariate-adjusted residuals are only appropriate when the regression lines are parallel and covariate means are equal for all treatments. In this paper, we proposed the new nonparametric method on the ANCOVA model, as applying joint placement in a one-way layout on residuals as described in Chung and Kim (2007). A Monte Carlo simulation study is adapted to compare the power of the proposed procedure with those of the previous procedure.

라인 드로잉에 의한 디자인 조형능력의 측정실험

  • 우흥룡
    • Archives of design research
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    • v.14
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    • pp.53-60
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    • 1996
  • The most remarkable and characteristic problem of design is that of creativity of design. Originality is a part of creativity. In the process of designing, we used to handle design thoughts that shows some patte군 of divergent and productive thoughts. During design thinking, for example 'Idea sketch', We also are under Pattern Recognition and Gestalt principles organization. In this study, it is reorganized that the 'Originality Test of Line Drawing(OTLD)'is a measurement system for personal originality. There is a regression on two tests of OTLD, which has 1 Semester Interval. From the regression data, Test2 = 7.763 + 0.643Test1, F value : 55.219, Prob : 0.0001. We would suggest a measurement system for an ability of originality in design fields, but we couldn't find any reliability and validity for Fine Art fields. In this point, OTLD could be a development tool for design creativity.

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Comparison of Analytical Method for Measuring Particulate Matter in Indoor Air (실내공간에서의 공기중 먼지 측정방법에 관한 비교분석)

  • 정종흡;한천길;이상칠;신재영;이규남
    • Journal of Environmental Health Sciences
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    • v.19 no.4
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    • pp.1-9
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    • 1993
  • Since most people spend a large majority of their time indoors (at least in the industrialized countries), indoor air may affect human health more than outdoor air. This study was carried out to characterize the reference and equivalent methods against the low volume method which was promulgated by the Ministry of Health and Social Affairs. The Laser and Piezo air sampler offer the advantage of real time data and low labor costs. The arithmetic mean concentrations were found to be 102.9% (Laser-2 min method) and 65.9% (Piezo method) against low volume method (100%). The statistical analysis procedure for this comparision is linear regression. The linear regression line of low volume method had slopes of 0.5487 and 0.9697 and Y intercepts of 0.0266 and 0.0110 $\mu$g/m$^3$ about Laser (2 min) and (24 h) method respectively. And the correlation coefficients were 0.7271 and 0.9433.

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Flicker Estimation for Wind Turbine Systems using SVR (SVR을 이용한 풍력 발전 시스템의 플리커 추정)

  • Van, Tan Loung;Nguyen, Thanh Hai;Kim, Ki-Hong;Lee, Dong-Choon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.15 no.4
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    • pp.309-318
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    • 2010
  • This paper presents a simulation model based on support vector regression (SVR) for flicker estimation emitted from the wind turbines. For the SVR training, the voltage variation and flicker level are selected as input and output, respectively. Through the off-line training, the relationship between the voltage variation and flicker level is derived. The required amount of data for the flicker measurement is decreased and its proessing time is also reduced. The simulation and experiment results have shown that the flicker estimation is performed accurately.

Gravimetrics of Pupal Weight Loss in the Domestic Silkworm, Bombyx mori Linn. (Lepidoptera : Bombycidae)

  • Kumar, Vineet;Kariappa, B.K.;Chaturvedi, H.K.;Sarkar, A.;Datta, R.K.
    • International Journal of Industrial Entomology and Biomaterials
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    • v.1 no.1
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    • pp.25-28
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    • 2000
  • A comprehensive study on daily pupal weight loss due to histolysis and histgenesis in Bombyx mori Linn., has been undertaken. The percentag of pupal weight loss in the male pupa is higher than the female, conforming that the female pupa require more energy in the form of less pupal weight loss for ovipositional activities. The regression equation clearly shows higher percentage loss of daily pupal weight in male than female with respect to age and, this is also evident from the slope of the regression line. Moreover, analysis of the coefficient of correlation shows that the weight loss of pupa is directly correlated with the age rather than climatic parameters under which the pupa dwells.

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