• Title/Summary/Keyword: automation method

Search Result 2,075, Processing Time 0.031 seconds

Optimal Allocation Method of Hybrid Active Power Filters in Active Distribution Networks Based on Differential Evolution Algorithm

  • Chen, Yougen;Chen, Weiwei;Yang, Renli;Li, Zhiyong
    • Journal of Power Electronics
    • /
    • v.19 no.5
    • /
    • pp.1289-1302
    • /
    • 2019
  • In this paper, an optimal allocation method of a hybrid active power filter in an active distribution network is designed based on the differential evolution algorithm to resolve the harmonic generation problem when a distributed generation system is connected to the grid. A distributed generation system model in the calculation of power flow is established. An improved back/forward sweep algorithm and a decoupling algorithm are proposed for fundamental power flow and harmonic power flow. On this basis, a multi-objective optimization allocation model of the location and capacity of a hybrid filter in an active distribution network is built, and an optimal allocation scheme of the hybrid active power filter based on the differential evolution algorithm is proposed. To verify the effect of the harmonic suppression of the designed scheme, simulation analysis in an IEEE-33 nodes model and an experimental analysis on a test platform of a microgrid are adopted.

A Study on Analysis of Dimensional Error of Projector for Formulations of Measurement Automation (측정 자동화 구축을 위한 투영기의 치수오차 분석에 관한 연구)

  • Choi, Jisun;Kim, Moon Ki
    • Journal of the Semiconductor & Display Technology
    • /
    • v.20 no.4
    • /
    • pp.114-118
    • /
    • 2021
  • In this research, the dimensional error of the measured specimen according to the measurement method was analyzed for the length, angle, radius of curvature and diameter using a projector which is used in industry. One-way analysis was performed on each data tested 30 times using a statistical technique. Through the experiment, it was found that an error occurred in each data when measuring the length and radius of curvature according to the measurement method, and the null hypothesis that no error occurred when measuring the angle and length was established. Based on this experimental data, the automatic measurement when measuring the projector causes less measurement error, so automatic measurement is recommended when measuring a small product. Also, an optimal measuring method is suggested for securing reliability on formulations of measurement automation.

PERFORMANCE EVALUATION INDEX FOR COMPARING TRADITIONAL CONSTRUCTION METHODS WITH A ROBOT-BASED AUTOMATED CONSTRUCTION METHOD

  • Donguk Oh;Younghoon Lee;Ung-Kyun Lee;Nakju Lett Doh;Hunhee Cho;Kyung-In Kang
    • International conference on construction engineering and project management
    • /
    • 2009.05a
    • /
    • pp.1088-1093
    • /
    • 2009
  • To improve construction productivity and quality, and to make the construction environment safe, a new system, Robot-based Construction Automation (RCA), is currently being developed in Korea. To determine whether RCA is an improvement over traditional construction methods (TCMs), an evaluation method, called the Performance Evaluation Index (PEI), is suggested for RCA. The PEI considers the relationships among the factors influencing the performance of the system obtained using the Delphi method and the analytic hierarchy process (AHP). As the evaluation shows, RCA is much better than TCM except for three factors: the rate of work success, quality improvement by learning experience, and construction duration.

  • PDF

Robust concurrent topology optimization of multiscale structure under load position uncertainty

  • Cai, Jinhu;Wang, Chunjie
    • Structural Engineering and Mechanics
    • /
    • v.76 no.4
    • /
    • pp.529-540
    • /
    • 2020
  • Concurrent topology optimization of macrostructure and microstructure has attracted significant interest due to its high structural performance. However, most of the existing works are carried out under deterministic conditions, the obtained design may be vulnerable or even cause catastrophic failure when the load position exists uncertainty. Therefore, it is necessary to take load position uncertainty into consideration in structural design. This paper presents a computational method for robust concurrent topology optimization with consideration of load position uncertainty. The weighted sum of the mean and standard deviation of the structural compliance is defined as the objective function with constraints are imposed to both macro- and micro-scale structure volume fractions. The Bivariate Dimension Reduction method and Gauss-type quadrature (BDRGQ) are used to quantify and propagate load uncertainty to calculate the objective function. The effective properties of microstructure are evaluated by the numerical homogenization method. To release the computation burden, the decoupled sensitivity analysis method is proposed for microscale design variables. The bi-directional evolutionary structural optimization (BESO) method is used to obtain the black-and-white designs. Several 2D and 3D examples are presented to validate the effectiveness of the proposed robust concurrent topology optimization method.

Classification based Knee Bone Detection using Context Information (문맥 정보를 이용한 분류 기반 무릎 뼈 검출 기법)

  • Shin, Seungyeon;Park, Sanghyun;Yun, Il Dong;Lee, Sang Uk
    • Journal of Broadcast Engineering
    • /
    • v.18 no.3
    • /
    • pp.401-408
    • /
    • 2013
  • In this paper, we propose a method that automatically detects organs having similar appearances in medical images by learning both context and appearance features. Since only the appearance feature is used to learn the classifier in most existing detection methods, detection errors occur when the medical images include multiple organs having similar appearances. In the proposed method, based on the probabilities acquired by the appearance-based classifier, new classifier containing the context feature is created by iteratively learning the characteristics of probability distribution around the interest voxel. Furthermore, both the efficiency and the accuracy are improved through 'region based voting scheme' in test stage. To evaluate the performance of the proposed method, we detect femur and tibia which have similar appearance from SKI10 knee joint dataset. The proposed method outperformed the detection method only using appearance feature in aspect of overall detection performance.

Large Point Cloud-based Pipe Shape Reverse Engineering Automation Method (대용량 포인트 클라우드 기반 파이프 형상 역설계 자동화 방법 연구)

  • Kang, Tae-Wook;Kim, Ji-Eum
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.17 no.3
    • /
    • pp.692-698
    • /
    • 2016
  • Recently, the facility extension construction and maintenance market portion has increased instead of decreased the newly facility construction. In this context, it is important to examine the reverse engineering of MEP (Mechanical Electrical and Plumbing) facilities, which have the high operation and management cost in the architecture domains. The purpose of this study was to suggest the Large Point Cloud-based Pipe Shape Reverse Engineering Method. To conduct the study, the related researches were surveyed and the reverse engineering automation method of the pipe shapes considering large point cloud was proposed. Based on the method, the prototype was developed and the results were validated. The proposed method is suitable for large data processing considering the validation results because the rendering performance standard deviation related to the 3D point cloud massive data searching was 0.004 seconds.

A Comparative Evaluation of $K_{op}$ Determination and $\Delta{K}_{eff}$ Estimation Methods

  • Kang, Jae-Youn;Song, Ji-Ho;Koo, Ja-Suk;Park, Byung-Ik
    • Journal of Mechanical Science and Technology
    • /
    • v.18 no.6
    • /
    • pp.961-971
    • /
    • 2004
  • Methods for determination of the crack opening stress intensity factor ($K_{op}$) and for estimation of the effective stress intensity factor range ($\Delta{K}_{eff}$) are evaluated for crack growth test data of aluminum alloys. Three methods of determining $K_{op}$, visual measurement, ASTM offset compliance method, and the neural network method proposed by Kang and Song, and three methods of estimating $\Delta{K}_{eff}$, conventional, the 2/PIO and 2/PI methods proposed by Donald and Paris, are compared in a quantitative manner by using evaluation criteria. For all $K_{op}$ determination methods discussed, the 2/PI method of estimating $\Delta{K}_{eff}$ provides good results. The neural network method of determining $K_{op}$ provides good correlation of crack growth data. It is recommended to use 2/PI estimation with the neural $K_{op}$ determination method. The ASTM offset method used in conjunction with 2/PI estimation shows a possibility of successful application. It is desired to improve the ASTM method.

A Study of Automation for Examination Analysis of Inservice Inspection for Nuclear Power Plant (I) (원자력발전소(原子力發電所) 가동중(稼動中) 검사(檢査)의 시험분석(試驗分析)을 위한 자동화연구(自動化硏究) (I))

  • Kim, W.
    • Journal of the Korean Society for Nondestructive Testing
    • /
    • v.5 no.1
    • /
    • pp.34-47
    • /
    • 1985
  • The developing country, KOREA where does not possess the natural resources for traditional energy such as oil and gas, so. The nuclear energy is the most single reliable source available for closing the energy gap. For these reason, It is inavoidable to construct the nuclear power plant and to develop technology related nuclear energy. The rate of operation in large nuclear power facilities depends upon the performance of work system through design and construction, and also the applied technology. Especially, it is the most important element that safety and reliability in operation of nuclear power plant. In view of this aspects, Nuclear power plant is performed severe examinations during preservice and inservice inspection. This study provide an automation of analysis for volumetric examination which is required to nuclear power plant components. It is composed as follows: I. Introduction II. Inservice Inspection of Nuclear Power Plant ${\ast}$ General Requirement. ${\ast}$ Principle and Methods of Ultrasonic Test. ${\ast}$ Study of Flaw Evaluation and Design of Classifying Formula for Flaws. III. Design of Automation for Flaw Evaluation. IV. An Example V. Conclusion In this theory, It is classifying the flaws, the formula of classifying flaws and the design of automation that is the main important point. As motioned the above, Owing to such as automatic design, more time could be allocated to practical test than that of evaluation of defects, Protecting against subjective bias tester by himself and miscalculation by dint of various process of computation. For the more, adopting this method would be used to more retaining for many test data and comparative evaluating during successive inspection intervals. Inspite of limitation for testing method and required application to test components, it provide useful application to flow evaluation for volumetric examination. Owing to the characteristics of nuclear power plant that is highly skill intensive industry and has huze system, the more notice should be concentrated as follows. Establishing rational operation plan, developing various technology, and making the newly designed system for undeveloped sector.

  • PDF

Improvement of Calcium Phosphate Forming Ability of Titanium Implant by Thermal Oxidation Method (열산화법에 의한 티타늄 임플란트의 인산칼슘 결정의 형성 능력 증진)

  • Hwang, Kyu-Seog;An, Jun-Hyung;Lee, Seon-Ok;Yun, Yeon-Hum;Kang, Bo-An;Oh, Jeong-Sun;Kim, Sang-Bok
    • Journal of the Korean Ceramic Society
    • /
    • v.39 no.5
    • /
    • pp.460-466
    • /
    • 2002
  • Titanium oxide film was deposited on the commercially pure titanium (cp-Ti) by thermal oxidation method for its medical application. The cp-Ti disks were cleaned and then heat-treated at the temperatures of 500, 550, 600, 650, and 700${\circ}C$, respectively, for 10 min in air or Ar. To test the ability of calcium phosphate formation, the specimens were immersed in the Eagle's minimum essential medium solution at 36.5${\circ}C$ for 15 days. The morphology and chemical composition of the surfaces before and after soaking were analyzed by using FE-SEM and EDS. The in-vitro formation of carbonated calcium phosphate on the thin films containing nano-sized $TiO_2$ crystals was identified.