• 제목/요약/키워드: Gradient Search Method

검색결과 130건 처리시간 0.028초

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

  • 김성홍;김재환;박재준;김순기;심종탁;최재관;이영상
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 1997년도 추계학술대회 논문집
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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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진화연산을 이용한 대규모 전력계통의 최적화 방안 (An Optimization Method using Evolutionary Computation in Large Scale Power Systems)

  • 유석구;박창주;김규호;이재규
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 하계학술대회 논문집 B
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    • pp.714-716
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    • 1996
  • This paper presents an optimization method for optimal reactive power dispatch which minimizes real power loss and improves voltage profile of power systems using evolutionary computation such as genetic algorithms(GAs), evolutionary programming(EP). and evolution strategy(ES). Many conventional methods to this problem have been proposed in the past, but most these approaches have the common defect of being caught to a local minimum solution. Recently, global search methods such as GAs, EP, and ES are introduced. The proposed methods were applied to the IEEE 30-bus system. Each simulation result, compared with that obtained by using a conventional gradient-based optimization method, Sequential Quadratic Programming (SQP), shows the possibility of applications of evolutionary computation to large scale power systems.

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이웃 에지 탐색에 의한 개선된 객체 윤곽선 추출 알고리즘과 MER을 이용한 모의훈련에서의 폐색처리 (Occlusion Processing in Simulation using Improved Object Contour Extraction Algorithm by Neighboring edge Search and MER)

  • 차정희;김계영;최형일
    • 한국지능시스템학회논문지
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    • 제18권2호
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    • pp.206-211
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    • 2008
  • 영상처리 기술을 이용한 모의훈련에서 사용자는 영상에 전시된 가상객체를 통해 실세계와의 상호작용과 인식능력을 향상시킬 수 있다. 따라서 현실감 있는 모의훈련을 위해서는 가상객체와 실영상을 정합한 후 가상객체로 인해 생기는 폐색영역을 결정하는 것이 필수적이다. 본 논문에서는 실 영상위에서 지정된 경로에 따라 가상표적을 이동시킬 때 발생하는 폐색문제를 이웃에지 탐색을 이용한 개선된 윤곽선 추출 알고리즘과 MER(Minimum Enclosing Rectangle)을 이용하여 해결한다. 제안된 윤곽선 추출 알고리즘에 의해 복잡한 물체에 대한 세부적인 윤곽을 얻은 후 성능향상을 위해 객체의 MER을 이용하여 폐색이 일어나는 지점의 3차원 정보를 산출하였다. 실험에서는 부분적 폐색이 발생하는 환경에서 제안한 방법을 기존방법과 비교하고 유효성을 입증하였다.

다중 클래스 데이터를 위한 분류오차 최소화기반 특징추출 기법 (Optimizing Feature Extractioin for Multiclass problems Based on Classification Error)

  • 최의선;이철희
    • 대한전자공학회논문지SP
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    • 제37권2호
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    • pp.39-49
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    • 2000
  • 본 논문에서는 다중 클래스 데이터를 위한 특징 추출 방법을 최적화하는 기법을 제안한다 제안된 특징 추출 기법은 분류 오차에 기반한 방법으로 특징 공간(feature space)을 탐색하여 가우시안 최대우도 분류기 (Gaussian ML Classifier)의 분류오차(classification error)가 최소가 되도록 하는 특징벡터 집합을 구하는 방법이다 제안된 방법은 임의의 초기 특징벡터를 설정한 후 steepest descent 알고리즘을 적용하여 분류오차가 감소하는 방향으로 초기벡터를 갱신시킨다 본 논문에서는 순차탐색 및 전체탐색 두 가지의 방법을 제안하며 순차탐색은 추가로 특징벡터를 구하는 경우 이미 구해진 특징벡터를 포함하여 최소의 분류오차를 얻을 수 있는 특징벡터를 구한다 반면에 전체탐색 방법은 추가의 특징벡터를 구할 경우 새로운 초기 특징벡터 집합을 설정하여 이미 구해진 특징벡터를 포함하는 제약을 받지 않는다. 실험결과 제안된 두 가지 방법은 기존의 특징추출 방법보다 우수한 성능을 보여주고 있다.

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Fabrication of Microgratings and their IR Diffraction Spectra

  • Kim, In Cheol;Choi, Eunwoo;Kim, Seong Kyu;Kang, Young Il;Kim, Taeseong;Bae, Hyo-Wook;Park, Do-Hyun
    • Bulletin of the Korean Chemical Society
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    • 제35권3호
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    • pp.908-912
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    • 2014
  • Microgratings whose diffracted field at a fixed angle generate IR spectra of $SF_6$ or $NH_3$ were fabricated by MEMS techniques for the purpose of IR correlation spectroscopy. Each micrograting was composed of 1441 reflecting lines in the area of $19.2{\times}19.2mm^2$. The depth profile of the line elements was determined with a gradient searching method that was described in our previous publication (J. Mod. Opt. 2013, 60, 324-330), and was discretized into 16 levels between 0 and $6.90{\mu}m$. The diffraction field from a given depth profile was calculated with Fraunhofer equation. The fabricated microgratings showed errors in the depth and the width within acceptable ranges. As the result, the diffracted IR spectrum of each micrograting matched well with its target reference spectrum within spectral resolution of our optical setup.

FSM 공법 PSC 박스 거더교의 최적설계에 관한 연구 (Research on the Optimum Design for PSC Box Girder Bridges Using the Full Staging Method)

  • 김기욱;박문호;장준호
    • 한국구조물진단유지관리공학회 논문집
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    • 제8권3호
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    • pp.159-167
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    • 2004
  • 본 연구는 최적설계 프로그램에 의해 FSM 공법의 PSC 박스 거더교를 최소경비로 자동 설계하고 이를 다양한 교량 형식에 적용하여 적정 형고비 Span Length to Girder Depth와 교폭에 따른 적정 셀(cell )수를 검토하고 최적설계의 필요성을 알리는데 목적이 있다. 사용된 최적설계 프로그램은 축차 무제약 최소화 기법을 이용하였고, 설계과정에서 설계점들이 설계가능 영역밖에 있는것을 허용할 수 있도록 Kavlie가 제안한 확장 벌칙함수를 도입하였다. 또한 설계점들의 탐사 방법은 Powell's direct search method를 사용하며, 설계시간을 단축시키기 위해 설계점 변화에 따른 단면력 변화를 Gradient를 이용하여 근사화 시키는 방법을 사용하였다. 그리고 설계변수의 수렴성과 셀수 지간장 차선수별 최적비용의 상관관계를 도출하였다.

Automatic GA fuzzy modeling with fine tuning method

  • Son, You-Seok;Chang, Wook;Park, Jin-Bae;Joo, Young-Hoon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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    • pp.189-192
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    • 1996
  • This paper presents a systematic approach to identify a linguistic fuzzy model for a multi-input and single-output complex system. Such a model is composed of fuzzy rules, and its output is inferred by the simplified reasoning. The structure and membership function parameters for a fuzzy model are automatically and simultaneously identified by GA (Genetic Algorithm). After GA search, optimal parameters for the fuzzy model are finely tuned by a gradient method. A numerical example is provided to evaluate the feasibility of the proposed approach. Comparison shows that the suggested approach can produce the linguistic fuzzy model with higher accuracy and a smaller number of rules than the ones achieved previously in other methods.

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잡음훼손에 적합한 평가함수와 복원기법을 이용한 유전적 연산자의 개선 (Imrovement of genetic operators using restoration method and evaluation function for noise degradation)

  • 김승목;조영창;이태홍
    • 전자공학회논문지S
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    • 제34S권5호
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    • pp.52-65
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    • 1997
  • For the degradation of severe noise and ill-conditioned blur the optimization function has the solution spaces which have many local optima around global solution. General restoration methods such as inverse filtering or gradient methods are mainly dependent on the properties of degradation model and tend to be isolated into a local optima because their convergences are determined in the convex space. Hence we introduce genetic algorithm as a searching method which will search solutions beyond the convex spaces including local solutins. In this paper we introudce improved evaluation square error) and fitness value for gray scaled images. Finally we also proposed the local fine tunign of window size and visit number for delicate searching mechanism in the vicinity of th global solution. Through the experiental results we verified the effectiveness of the proposed genetic operators and evaluation function on noise reduction over the conventional ones, as well as the improved performance of local fine tuning.

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해석적 비용함수와 최대원리리에 의한 양수운전을 포함하는 최적전원계획 (Optimal Generation Planning Including Pumped-Storage Plant Based on Analytic Cost Function and Maximum Principle)

  • 박영문;이봉용
    • 대한전기학회논문지
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    • 제34권8호
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    • pp.308-316
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    • 1985
  • This paper proposes an analytic tool for long-term generation expansion planning based on the maximum principle. Many research works have been performed in the field of generation expansion planning. But few works can be found with the maxinmum principle. A recently published one worked by professor Young Moon Park et al. shows remarkable improvements in modeling and computation. But this modeling allows only thermal units. This paper has extended Professor Park's model so that the optimal pumped-storage operation is taken into account. So the ability for practical application is enhanced. In addition, the analytic supply-shortage cost function is included. The maximum principle is solved by gradient search due to its simplicity. Every iteration is treated as if mathematical programming such that all controls from the initial to the terminal time are manipulated within the same plane. Proposed methodology is tested in a real scale power system and the simulation results are compared with other available package. Capability of proposed method is fully demonstrated. It is expected that the proposed method can be served as a powerful analytic tool for long-term generation expansion planning.

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하이브리드 유전 알고리듬을 이용한 자동 동조 퍼지 제어기의 설계 (Design of Auto-Tuning Fuzzy Logic Controllers Using Hybrid Genetic Algorithms)

  • 류동완;권재철;박성욱;서보혁
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1997년도 추계학술대회 논문집 학회본부
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    • pp.126-129
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    • 1997
  • This paper propose a new hybrid genetic algorithm for auto-tunig auzzy controller improving the performance. In general, fuzzy controller used pre-determine d moderate membership functions, fuzzy rules, and scaling factors, by trial and error. The presented algorithm estimates automatically the optimal values of membership functions, fuzzy rules, and scaling factors for fuzzy controller, using hybrid genetic algorithms. The object of the proposed algorithm is to promote search efficiency by overcoming a premature convergence of genetic algorithms. Hybrid genetic algorithm is based on genetic algorithm and modified gradient method. Simulation results verify the validity of the presented method.

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