• 제목/요약/키워드: internal rule

검색결과 205건 처리시간 0.033초

오차를 고려한 765kV 변압기 보호 계전 정정룰 고찰 (Investigation into Transformer Protective Relay Setting Rule Considering Error Ratio)

  • 배영준;이승재;최면송;강상희;김상태;최정이;정창현;유영식;조범섭
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 하계학술대회 논문집 A
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    • pp.229-231
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    • 2002
  • The digital current differential relaying scheme is widely used for primary protection of 765(kV) power transformer. The current differential relay pickup the internal fault at the threshold which is set at 30% of rating current. Margin of 30% include current transformer error 5%, relay error 5%, on load tap changer error 7% and margin factor 140% obtained from the field experience. In this paper transformer protection relay and relay setting rule of high voltage power system are discussed. And we verify the correctness of relay setting rule with current differential relay using Matlab simulation.

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기업의 표현규정이 비대면 감정노동자의 직무만족에 미치는 영향에 관한 연구 (A study of display rule for none face-to-face emotional worker's job satisfaction)

  • 여현진;박지영;문재영
    • 품질경영학회지
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    • 제44권3호
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    • pp.649-660
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    • 2016
  • Purpose: The purpose of this study is to find empirical studies the causal relationship among positive defining representation, negative defining representation, surface acting, deep acting, dissatisfaction of job, and intention of job transfer. Methods: The collected data through the survey by customer satisfaction team of "A" company call center. Results: The result of this study is that emotion and behavior norm influence on deep act of expressing both positive impacts of the employees. Conclusion: Feelings of corporate representation norm is psychologically of employees that because it affects even also must facilitate the surface acts and internal acts of employees and job dissatisfaction at the same time due to emotional dissonance and emotional exhaustion and turnover are hidden on the back emotion norms in the contact department, it should be aware of the need to address the emotional problems. Companies need to develop a variety of programs with attention to addressing the emotional difficulties experienced by workers.

Multiaxial ratcheting assessment of Z2CND18.12N steel using modified A-V hardening rule

  • Xiaohui Chen;Yang Zhou;Wenwu Liu;Xu Zhao
    • Steel and Composite Structures
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    • 제49권1호
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    • pp.1-17
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    • 2023
  • Based on Ahmadzadeh-Varvani hardening rule (A-V model), multiaxial ratcheting effect of Z2CND18.12N austenitic stainless steel is simulated by ABAQUS with user subroutine UMAT. The results show that the predicted results of the origin multiaxial A-V model are lower than the experimental data, and it is difficult to control ratcheting strain rate. In order to improve the predicted capability of A-V model, the A-V model is modified. In this study. Moreover, under the assumption of the von Mises yield criterion and normal plasticity flow rule, we develop a numerical algorithm of plastic strain with the improved model to implement the finite element calculation of the model. Internal iteration in the numerical algorithm was implemented with the Euler backward method, which calculated the trial strain for each equilibrium iteration using the consistent tangent matrix. With a user subroutine, the proposed model is programmed into ABAQUS for a user - executable version. By simulating the uniaxial ratcheting of a round bar made of Z2CND18.12N austenitic stainless steel, we observe that the predicted results simulated by ABAQUS with UMAT are compared with the experimental data. The predicted results of the improved multiaxial A-V model are consistent well with the experimental data.

요소 중심의 네트워크 접근법을 이용한 부정정 트러스 구조 해석 (Analysis of Indeterminate Truss Structures by Element-Focused Network Approach)

  • 한이철
    • 한국농공학회논문집
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    • 제58권3호
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    • pp.13-19
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    • 2016
  • Element-focused network analysis method for truss structure is proposed. The propagation process of loads from external loads to connected other elements is similar to that of connections between nodes in accordance with attachment rule in a network. Here nodes indicate elements in a truss structure and edges represent propagated loads. Therefore, the flows of loads in a truss structure can be calculated using the network analysis method, and consequently the structure can also be analyzed. As a first step to analyze a truss structure as a network, we propose a local load transfer rule in accordance with the topology of elements, and then analyze the loads of the truss elements. Application of this method reveal that the internal loads and reactions caused by external loads can be accurately estimated. Consequently, truss structures can be considered as networks and network analysis method can be applied to further complex truss structures.

영추·경맥편 수태음폐경 유주의 한글번역에 대한 고찰 (A Study on Korean Translation of the Pathway of Lung Meridian in Miraculous Pivot·Meridian Vessel)

  • 정혜진;임사비나
    • Korean Journal of Acupuncture
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    • 제33권3호
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    • pp.114-120
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    • 2016
  • Objectives : It aims to establish a basic rule in Korean translation of the pathway of lung meridian in Miraculous Pivot Meridian vessel. Based on the rule, We tried to make standard translation of the pathway of lung meridian in Miraculous Pivot Meridian vessel. Methods : Books needed for this study were collected through searching Kyunghee University Library(http:// khis.khu.ac.kr). Keywords included "Miraculous Pivot of Huangdi's Internal Classic". We also include the book which is generally used as a textbook in Colleges of Korean Medicine. Results : In five Chinese books, the word-spacing was used differently in four phrases. Six Korean-translated books had the different translation in three phrases. We suggested a standard Korean translation of the pathway of lung meridian in Miraculous Pivot Meridian vessel. Conclusions : This result of the study would be expected to not only be published in Korean Journal of Acupuncture but be studied more about Korean translation by experts in this field.

퍼지 전문가 시스템을 이용한 강관 하이드로포밍의 성형성 예측에 관한 연구 (Optimization of tube hydroforming process by using fuzzy expert system)

  • 박광수;김동규;이동활;문영훈
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2004년도 춘계학술대회 논문집
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    • pp.194-197
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    • 2004
  • In the tube hydroforming process, a tube is placed into the die cavity and the ends of the tube are sealed by fixing the axial cylinder piston into the ends. Then the tube is pressurized with a hydraulic fluid and simultaneously the axial cylinders move to feed the material into the expansion zone. Therefore, the quantitative relationship between process parameters such as internal pressure and feeding amount and hydroformabillity, is hard to establish because of their high complexity and many unknown factors. In this study, the empirical and the quantitative relationship between process parameters and hydroformabillity are analyzed by fuzzy rules. Fuzzy expert system is an advanced expert system which uses fuzzy rule and approximate reasoning. Many process parameters are converted to the quantitative relationship by use of approximate reasoning of fuzzy expert system. The comparison between experimentally measured hydroformabillity from hydroforming experiments and the predicted values by fuzzy expert system shows a good agreement.

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하이브리드 차량의 SOC 유지전략 방법 (SOC Sustaining Strategy for HEV through State-machine Control)

  • 변상민;김범수;차석원
    • 신재생에너지
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    • 제4권4호
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    • pp.65-71
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    • 2008
  • Considering the world's environmental problem, HEVs are projected as one of the solution. The keys of the HEV cruise control are expanding the use of electric motor and operating the internal combustion engine in the efficient region. This paper presents a new structure of SOC sustaining model where state-machine control is used. The proposed model defines battery charging and discharging as states and SOC of the battery as control variables. In this paper, we introduce various methods in deterministic rule-based control for HEV and describe a new SOC sustaining controller used by state-machine.

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A Classification Techniques For Quality Improvement

  • Jichao, Xu;Yumin, Liu;Li, Zhang
    • International Journal of Quality Innovation
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    • 제2권2호
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    • pp.24-33
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    • 2001
  • As we know, the quality of processes is technically depicted by variation, a product or process with the best quality must naturally require the variation as less as possible. The variation is usually reduced with many ways, say, by adjusting parameters settings under robust design with many turns expensive experiments. So ones are trying to reach the robustness by detecting cheap and simple methods. In this paper, a both practical and simple technique for quality improvement, namely reducing the variation, by data classification is studied. First, all possible system factors are included, which may dominate the variation law. And then we make use of the past observations and their classification as well as boxplot charts to find out the internal rule between the variation and the system factor. Next, adjust the location of the system factor according to the rule so that the variation could, to some extent, be lessened. Finally, two typical quality improvement cases based on data classification are presented.

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Neuro-Fuzzy Systems: Theory and Applications

  • Lee, C.S. George
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.29.1-29
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    • 2001
  • Neuro-fuzzy systems are multi-layered connectionist networks that realize the elements and functions of traditional fuzzy logic control/decision systems. A trained neuro-fuzzy system is isomorphic to a fuzzy logic system, and fuzzy IF-THEN rule knowledge can be explicitly extracted from the network. This talk presents a brief introduction to self-adaptive neuro-fuzzy systems and addresses some recent research results and applications. Most of the existing neuro-fuzzy systems exhibit several major drawbacks that lead to performance degradation. These drawbacks are the curse of dimensionality (i.e., fuzzy rule explosion), inability to re-structure their internal nodes in a changing environment, and their lack of ability to extract knowledge from a given set of training data. This talk focuses on our investigation of network architectures, self-adaptation algorithms, and efficient learning algorithms that will enable existing neuro-fuzzy systems to self-adapt themselves in an unstructured and uncertain environment.

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반대측 유방전이를 일으킨 폐소세포암 1례 (A Case of Small Cell Lung Cancer Metastastized to the Contralateral Breast)

  • 박성철;김승영;이승용;김제형;이상엽;신철;심재정;인광호;강경호;유세화
    • Tuberculosis and Respiratory Diseases
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    • 제56권1호
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    • pp.91-96
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    • 2004
  • 저자들은 기침을 주소로 내원한 62세 여자환자에서 폐소세포암의 진단과 함께, 경피적 세침 생검 흡입술로 확진된 반대측 유방전이 1례를 경험하였기에 문헌고찰과 함께 보고하는 바이다.