• Title/Summary/Keyword: generating operators

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A Hybrid Genetic Algorithm for Generating Cutting Paths of a Laser Torch (레이저 토치의 절단경로 생성을 위한 혼합형 유전알고리즘)

  • 이문규;권기범
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.12
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    • pp.1048-1055
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    • 2002
  • The problem of generating torch paths for 2D laser cutting of a stock plate nested with a set of free-formed parts is investigated. The objective is to minimize the total length of the torch path starting from a blown depot, then visiting all the given Parts, and retuning back to the depot. A torch Path consists of the depot and Piercing Points each of which is to be specified for cutting a part. The torch path optimization problem is shown to be formulated as an extended version of the standard travelling salesman problem To solve the problem, a hybrid genetic algorithm is proposed. In order to improve the speed of evolution convergence, the algorithm employs a genetic algorithm for global search and a combination of an optimization technique and a genetic algorithm for local optimization. Traditional genetic operators developed for continuous optimization problems are used to effectively deal with the continuous nature of piercing point positions. Computational results are provided to illustrate the validity of the proposed algorithm.

A Wind Turbine Fault Detection Approach Based on Cluster Analysis and Frequent Pattern Mining

  • Elijorde, Frank;Kim, Sungho;Lee, Jaewan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.2
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    • pp.664-677
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    • 2014
  • Wind energy has proven its viability by the emergence of countless wind turbines around the world which greatly contribute to the increased electrical generating capacity of wind farm operators. These infrastructures are usually deployed in not easily accessible areas; therefore, maintenance routines should be based on a well-guided decision so as to minimize cost. To aid operators prior to the maintenance process, a condition monitoring system should be able to accurately reflect the actual state of the wind turbine and its major components in order to execute specific preventive measures using as little resources as possible. In this paper, we propose a fault detection approach which combines cluster analysis and frequent pattern mining to accurately reflect the deteriorating condition of a wind turbine and to indicate the components that need attention. Using SCADA data, we extracted operational status patterns and developed a rule repository for monitoring wind turbine systems. Results show that the proposed scheme is able to detect the deteriorating condition of a wind turbine as well as to explicitly identify faulty components.

Design and Implementation of Genetic Test-Sheet-Generating Algorithm Considering Uniformity of Difficulty (난이도 균일성을 고려한 유전자 알고리즘 기반 평가지 생성 시스템의 설계 및 구현)

  • Song, Bong-Gi;Woo, Chong-Ho
    • Journal of Korea Multimedia Society
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    • v.10 no.7
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    • pp.912-922
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    • 2007
  • Evaluation of distance teaming systems needs a method that maintains a consistent level of difficulty for each test. In this paper, we propose a new algorithm for test sheet generation based on genetic algorithm. Unlike the existing methods that difficulty of each test item is assigned by tutors, in the proposed method, that can be adjusted by the result of the previous tests and the average difficulty of test sheet can be consistently reserved. We propose the new genetic operators to prevent duplications of test items in a test sheet and apply the adjusted difficulty of each test item. The result of simulation shows that difficulty of the test sheet generated by proposed method can be more regular than the random method and the simulated annealing method.

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Incorporating Genetic Algorithms into the Generation of Artificial Accelerations (인공 지진파 작성을 위한 유전자 알고리즘의 적용)

  • Park, Hyung-Ghee;Chung, Hyun-Kyo
    • Journal of the Earthquake Engineering Society of Korea
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    • v.11 no.2 s.54
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    • pp.1-9
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    • 2007
  • The method of generating the artificial acceleration time histories for seismic analysis based on genetic algorithms is presented. For applying to the genetic algorithms, the frequencies are selected as the decision variables eventually to be genes. An arithmetic average crossover operator and an arithmetic ratio mutation operator are suggested in this study. These operators as well as the typical simple crossover operator are utilized in generating the artificial acceleration time histories corresponding to the specified design response spectrum. Also these generated artificial time histories are checked whether their outward features are to be coincident with the recorded earthquake motion or not. The features include envelope shape, correlation condition between 2 horizontal components of motion, and the relationship of max. acceleration, max. velocity and max. displacement of ground.

An Expert System for Short-Term Generation Scheduling of Electric Power Systems (전력계통의 단기 발전계획 기원용 전문가시스템)

  • Yu, In-Keun
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.41 no.8
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    • pp.831-840
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    • 1992
  • This paper presents an efficient short-term generation scheduling method using a rule-based expert/consulting system approach to assist electric energy system operators and planners. The expert system approach is applied to improve the Dynamic Programming(DP) based generation scheduling algorithm. In the selection procedure of the feasible combinations of generating units at each stage, automatic consulting on the manipulation of several constraints such as the minimum up time, the minimum down time and the maximum running time constraints of generating units will be performed by the expert/consulting system. In order to maximize the solution feasibility, the aforementioned constraints are controlled by a rule-based expert system, that is, instead of imposing penalty cost to those constraint violated combinations, which sometimes may become the very reason of no existing solution, several constraints will be manipulated within their flexibilities using the rules and facts that are established by domain experts. In this paper, for the purpose of implementing the consulting of several constraints during the dynamic process of generation scheduling, an expert system named STGSCS is developed. As a building tool of the expert system, C Language Integrated Production System(CLIPS) is used. The effectiveness of the proposed algorithm has been demonstrated by applying it to a model electric energy system.

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Development of Optimal Thermal Transfer Calculation Algorithm by Composition of Thermal Transfer Mechanism among Integrated Energy Operators (집단에너지 사업자간의 열연계 메커니즘 구성에 의한 최적 열연계 산정 알고리즘 개발)

  • Kim, Yongha;Kim, Seunghee;Hyeon, Seungyeon
    • Journal of Energy Engineering
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    • v.26 no.4
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    • pp.57-66
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    • 2017
  • Since the heat is not as fast as the electric power and the loss is relatively large compared to the electric power, it is not realistic to operate the thermal transfer system with on operation center like electric power trading. In the case of the Korea District Heating Corporation, where all the thermal transfer are currently being made, only two or four adjacent heat-generating power plants are being the heat trading. Therefore, In this paper, we concluded that it is appropriate to divide the integrated operation center for heat trading into several regions, to operate the hub integrated operation power plant in each region to reflect the characteristics of the heat medium and proposed the thermal transfer mechanism among integrated energy operators. Then, we have developed an algorithm that can optimize the heat transaction for the proposed mechanism and applied it to the actual operators to verify the usefulness of the proposed algorithm.

Industrial robot programming method utilizing the human learning capability (인간 학습을 이용한 산업용 로보트의 효율적 프로그래밍 방안)

  • 김성수;이종태
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.04a
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    • pp.244-248
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    • 1996
  • Nowadays, most shop floors using industrial robots have many problems such as constructing robot workcell, generating robot arm moving trajectory, etc.. In the case of programming robot-arms for a specific task, shop operator commonly use the teach pendant to record the target position and determine the moving trajectory. However, such a teaching process may result in an inefficient trajectory in the sense of moving distance and joint angle fluctuation. Moreover, shop operators who have little knowledge about robot programming process need a lot of learning time and cost. The purpose of this paper is to propose a user friendly robot programming method to program robot-arms easily and efficiently for shop operator so that the programming time is reduced and a short and stable trajectory is obtained.

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Automatic 3-D Modeling System for Cooling Fans Based on a Solid Modeler (솔리드 모델러 기반의 냉각탑용 축류팬 자동 설계시스템)

  • 이광일;강재관;김원일;이윤경
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.141-144
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    • 1997
  • This paper presents design automation system using API and parametric modeling of solid modeler, which is applied on axial fans for cooling towers. The design data including chord length and twist angle according to the fan length are given by design program, and API functions are applied to automate the modeling and assembly process of fan blade. The boss to connect fan and motor is designed with parametric design function provided by UG so as to be flexibly changed by the value of design parameters. The process of generating 2-D drafting for parts and an assembly is also automated. With developed system, the modeling time is reduced to 5 minutes even with unskilled operators.

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The Study on DSA of Intergrated Operating System (통합운영체계의 DSA 적용 연구)

  • Cho, Nam-Bin
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2322-2324
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    • 2002
  • Korea Water Resources Corporation (KOWACO) operates nine hydroelectric power stations on the Han River, Nakdong River, Geum River & Seomjin River Areas. KOWACO will take the lead in improving the efficiency of water resources supply in this parer, KOWACO Generation Intergrated Operating System(GIOS) project will improve the generating plant, hydraulic structures, switchgear, and station controls, alarms and services for unmanned remote controlled operation by modern intergraed SCADA system. Mordern SCADA is used to cover all computer systems designed to perform the following main functions: - to collect data from industrial plant devices. - to process and perform calculations on the collected. - to present collected and derived data on displays on. - to accept commands entered by human operators and act on them such as sending control commands to plant devices.

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Building Reconstruction for 3D City Modeling in Korea (국내 실정에 맞는 삼차원 도시모델링을 위한 건물모델 생성방법에 관한 연구)

  • 조영욱;최재완;한동엽;김용일;유기윤
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2004.10a
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    • pp.13-18
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    • 2004
  • In this study, a new method is proposed generating 3D wire-frames of building using the lowest level topology, points, which are input by human operators. Through the procedure, it is possible to make prediction occlusion points and generate the topology automatically among points, lines, surfaces from buildings. In order to adjust the error of initial values which are input manually, the least squares adjustment for model-image fitting is carried out using the edge information of aerial imagery. And also, model fitting procedure is done making all surfaces plane of buildings by the least squares adjustment. As a result of those procedure, 3D building models are refined similar to real figures of buildings.

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