• 제목/요약/키워드: Variable parameters

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가변롤성형 공정을 이용한 단면이 가변하는 프로파일의 형상변수 분석에 관한 연구 (Investigation of Shape Parameters for a Profile with Variable-cross Sections Produced by Flexible Roll Forming)

  • 박종철;차명환;김돈건;남재복;양동열
    • 소성∙가공
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    • 제23권6호
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    • pp.369-375
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    • 2014
  • Flexible roll forming allows profiles to have variable cross-sections. However, the profile may have some shape errors, such as, warping which is a major defect. The shape error is induced by geometrical deviations in both the concave zone and the convex zone. In the current study, flexible roll forming was modeled with FE simulations to analyze the shape error and the longitudinal strain distribution along the flange section over the profile. A distribution of analytically calculated longitudinal strains was used to develop relationships between the shape error and the longitudinal strain distribution as a function of the defined shape parameters for the profile. The FE simulations showed that the shape error is primarily affected by the deviations between the distribution of analytically calculated longitudinal strain and the longitudinal strain distribution of the profile. The results show that the shape error can be controlled by designing the shape parameters to control the geometrical deviations at the flange section in the transition zones.

Maximum Power Tracking Control for parallel-operated DFIG Based on Fuzzy-PID Controller

  • Gao, Yang;Ai, Qian
    • Journal of Electrical Engineering and Technology
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    • 제12권6호
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    • pp.2268-2277
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    • 2017
  • As constantly increasing wind power penetrates power grid, wind power plants (WPPs) are exerting a direct influence on the traditional power system. Most of WPPs are using variable speed constant frequency (VSCF) wind turbines equipped with doubly fed induction generators (DFIGs) due to their high efficiency over other wind turbine generators (WTGs). Therefore, the analysis of DFIG has attracted considerable attention. Precisely measuring optimum reference speed is basis of utilized maximum wind power in electric power generation. If the measurement of wind speed can be easily taken, the reference of rotation speed can be easily calculated by known system's parameters. However, considering the varying wind speed at different locations of blade, the turbulence and tower shadow also increase the difficulty of its measurement. The aim of this study is to design fuzzy controllers to replace the wind speedometer to track the optimum generator speed based on the errors of generator output power and rotation speed in varying wind speed. Besides, this paper proposes the fuzzy adaptive PID control to replace traditional PID control under rated wind speed in variable-pitch wind turbine, which can detect and analyze important aspects, such as unforeseeable conditions, parameters delay and interference in the control process, and conducts online optimal adjustment of PID parameters to fulfill the requirement of variable pitch control system.

석면섬유 자동계수를 위한 고효율 현미경법의 영상처리 알고리즘 개선 (Improvement of Image Processing Algorithm of High-Throughput Microscopy for Automated Counting of Asbestos Fibers)

  • 조명옥;윤성희;한화택;김중경
    • 한국가시화정보학회지
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    • 제13권3호
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    • pp.15-19
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    • 2015
  • We developed a high-throughput microscopy (HTM) method which enabled us to replace a conventional phase contrast microscopy (PCM) method that has been used as a standard analytical method for airborne asbestos. We could obtain the concentration of airborne asbestos fibers under detection limit by automated image processing and analysis using HTM method. Here we propose an improved image processing algorithm with variable parameters to enhance the accuracy of the HTM analysis. Since the variable parameters that compensate the difference of the brightness are applied to the individual images in our new image processing method, it is possible to enhance the accuracy of the automatic image analysis method for sample slides with low asbestos concentration that caused errors in binary image processing. We demonstrated that enumeration of fibers by improved image processing algorithm remarkably enhanced the accuracy of HTM analysis in comparison with PCM. The improved HTM method can be a potential alternative to conventional PCM.

Weighted Least-Squares Design and Parallel Implementation of Variable FIR Filters

  • Deng, Tian-Bo
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -1
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    • pp.686-689
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    • 2002
  • This paper proposes a weighted least-squares(WLS) method for designing variable one-dimensional (1-D) FIR digital filters with simultaneously variable magnitude and variable non-integer phase-delay responses. First, the coefficients of a variable FIR filter are represented as the two-dimensional (2-D) polynomials of a pair of spectral parameters: one is for tuning the magnitude response, and the other is for varying its non-integer phase-delay response. Then the optimal coefficients of the 2-D polynomials are found by minimizing the total weighted squared error of the variable frequency response. Finally, we show that the resulting variable FIR filter can be implemented in a parallel form, which is suitable for high-speed signal processing.

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Simultaneous outlier detection and variable selection via difference-based regression model and stochastic search variable selection

  • Park, Jong Suk;Park, Chun Gun;Lee, Kyeong Eun
    • Communications for Statistical Applications and Methods
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    • 제26권2호
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    • pp.149-161
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    • 2019
  • In this article, we suggest the following approaches to simultaneous variable selection and outlier detection. First, we determine possible candidates for outliers using properties of an intercept estimator in a difference-based regression model, and the information of outliers is reflected in the multiple regression model adding mean shift parameters. Second, we select the best model from the model including the outlier candidates as predictors using stochastic search variable selection. Finally, we evaluate our method using simulations and real data analysis to yield promising results. In addition, we need to develop our method to make robust estimates. We will also to the nonparametric regression model for simultaneous outlier detection and variable selection.

누수성 프락탈 대수층내의 일정 또는 다단계 양수시험의 민감성 분석에 의한 수리상수 결정 (Hydraulic Parameter Evaluation by Sensitivity Analysis of Constant and Variable Rate Pump Test in Leaky Fractal Aquifer)

  • 함세영
    • 지질공학
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    • 제4권3호
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    • pp.311-319
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    • 1994
  • 본 논문은 누수를 포함하는 프락탈 대수층의 수리상수의 최적값을 구하기 위한 민감성 분석에 대한 것이다. 민감성 분석은 최소자승법을 이용한다. 민감성 분석에 의하여 수리상수(일반화 투수량계수와 일반화 저유계수)는 여러가지 흐름의 차원과 여러 값의 누수계수에 대해서 쉽게 결정될 수 있다. 아울러, 민감성, 분석은 다수의 양수정의 다단계 양수에도 적용되었다. 민감성 분석을 이용한 프락탈 대수층의 수리상수 산출을 위하여 컴퓨터 프로그램이 개발되었다.

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직선형 유도전동기의 동특성 시뮬레이션을 통한 저크의 특성 해석 (jerk characteristics through dynamic simulation of Linear induction motors)

  • 장석명;유대준;한형석
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.74-76
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    • 2007
  • Generally, the dynamic parameters by dynamic simulation are calculated from an equivalent circuit parameters in design process. By performing dynamics of motors, it can be achieved design considering control pattern. In this paper, dynamic characteristics of LIM (Linear Induction Motors) is discussed using the new method of equivalent circuit parameters by field analysis. And the system response of VVVF(Variable Voltage Variable frequency) are presented for jerk characteristics represented as acceleration and deceleration by steep trust ripple.

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직선형 유도전동기의 동특성 시뮬레이션을 통한 저크의 특성 해석 (jerk characteristics through dynamic simulation of Linear induction motors)

  • 장석명;유대준;한형석
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.7-9
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    • 2007
  • Generally, the dynamic parameters by dynamic simulation are calculated from an equivalent circuit parameters in design process. By performing dynamics of motors, it can be achieved design considering control pattern. In this paper, dynamic characteristics of LIM (Linear Induction Motors) is discussed using the new method of equivalent circuit parameters by field analysis. And the system response of VVVF(Variable Voltage Variable frequency) are presented for jerk characteristics represented as acceleration and deceleration by steep trust ripple.

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신경회로망에서 일괄 학습 (Batch-mode Learning in Neural Networks)

  • 김명찬;최종호
    • 전자공학회논문지B
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    • 제32B권3호
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    • pp.503-511
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    • 1995
  • A batch-mode algorithm is proposed to increase the speed of learning in the error backpropagation algorithm with variable learning rate and variable momentum parameters in classification problems. The objective function is normalized with respect to the number of patterns and output nodes. Also the gradient of the objective function is normalized in updating the connection weights to increase the effect of its backpropagated error. The learning rate and momentum parameters are determined from a function of the gradient norm and the number of weights. The learning rate depends on the square rott of the gradient norm while the momentum parameters depend on the gradient norm. In the two typical classification problems, simulation results demonstrate the effectiveness of the proposed algorithm.

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모드해석법과 보조변수법을 이용한 NFR 슬라이더 평가방법 (Evaluation Method of NFR Slider Using Modal Analysis Method and Instrumental Variable Method)

  • 안채헌;임경화
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 춘계학술대회논문집
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    • pp.688-693
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    • 2002
  • Identification method is formulated to evaluate the dynamic characteristics of air bearings under NFR(Near Field Recording) sliders. Impulse responses and frequency response functions of NFR sliders are obtained on numerical non-linear models including rigid motion of slider and fluid motion of air bearing under the slider. Modal parameters and system parameters are identified by modal analysis method and instrumental variable method. The parameters of sliders are utilized to evaluate the dynamic characteristics of air bearings. Also, this study shows the difference between the dynamic characteristics of NFR and HDD slides, and squeeze effect of air bearings.

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