• 제목/요약/키워드: Large transformer

검색결과 331건 처리시간 0.03초

Power Transformer Diagnosis Using a Modified Self Organizing Map

  • Lee J. P.;Ji P. S.;Lim J. Y.;Kim S. S.
    • KIEE International Transactions on Power Engineering
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    • 제5A권1호
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    • pp.40-45
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    • 2005
  • Substation facilities have become extremely large and complex parts of electric power systems. The development of condition monitoring and diagnosis techniques has been a very significant factor in the improvement of substation transformer security. This paper presents a method to analyze the cause, the degree, and the aging process power transformers by the Self Organizing Map (SOM) method. Dissolved gas data were non-linearly transformed by the sigmoid function in SOM that works much the same way as the human decision making process. The potential for failure and the degree of aging of normal transformers are identified by using the proposed quantitative criterion. Furthermore, transformer aging is monitored by the proposed criterion for a set of transformers. To demonstrate the validity of the proposed method, a case study is performed and its results are presented.

도로/궤도 매립형 무접촉 집전장치의 전력전달 성능 개선을 위한 특성해석 (Characteristic analysis of inductive contactless power transformer used for the road/railway to improve the performance.)

  • 한경희;백수현;이병송;배창한;변윤섭
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 B
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    • pp.1304-1306
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    • 2004
  • Recently, the study for development of system having affinity for environment is on investigation. This issue is also applicable to transportation system. This paper suggested the inductive power transformer used for the road/railway applied to contactless power transfer system. The two secondary windings, large gaped magnetic structure and horizontal alignment between primary and secondary coil for that transformer approach a process for improvement of contactless power transfer system performance.

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비접촉식 배터리 충전 장치용 Half-Bridge 직렬 공진 컨버터 분석 및 설계 (Analysis and Design of Half-Bridge Resonant Converter for Non-Contact Battery Charger)

  • 김창균;서동현;유정식;박종후;조보형
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제49권4호
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    • pp.265-271
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    • 2000
  • A non-contact battery charger for cellular phone is designed using half-bridge series resonant converter. This converter utilizes series resonance to reduce the undesirable effect of large leakage inductance of the detachable transformer and ZVS operation can reduce switching loss and switching noise. In this paper, analysis and design procedure of half-bridge series resonant converter with detachable transformer is presented. The input voltage is 85VAC∼270VAC, and the output voltage and current is 4.1V and 800mA, respectively. Furthermore, a method of calculating the secondary current of the transformer to control the battery charging current in the constant current charging mode is proposed. The performance of the charger is verified through experiments.

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식물성 절연유의 유속과 BTA에 따른 유동대전 현상 연구 (Research of Flow Velocity and BTA According to the Streaming Electrification of Vegetable Insulating Oils)

  • 최순호;방정주;허창수
    • 한국전기전자재료학회논문지
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    • 제25권10호
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    • pp.791-797
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    • 2012
  • Mineral insulating oils are an important insulating materials in oil-filled transformer. However, the mineral oil is the cause of the environmental problem. The vegetable oils are substitutes for mineral oil because of its biodegradability characteristic. As large size and high rating of the transformer increases, the losses increase at a faster rate. So insulating oil is forced circulation in the oil-filled transformer by using oil pumps. The flow electrification occurs when insulating oil was forced to be circulated. To check the flow electrification, had conducted experiments varying factors. As a result, the streaming electrification could see the changes according to flow velocity, oil temperature and insulation materials.

PZT-PMNS를 이용한 장방형 압전변압기에 대한 연구 (Charicteristics of a step-up piezoelectric transformer using to PZT-PMNS)

  • 권오덕;유지성;윤용진;강성화;임기조
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 추계학술대회 논문집 전기물성,응용부문
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    • pp.220-222
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    • 2004
  • The piezoelectric ceramics for a step-up piezoelectric transformer are desired large electromechanical coupling factor, high mechanical quality factor and good characteristic resonance frequency. In this study, the empirical formula of specimens is used $0.9Pb(Zr_xTi_{1-x})O_3-0.1Pb(Mn_{1/3}Nb_{1/3}Sb_{1/3})O_3$ (PZT-PMNS). The piezoelectric and dielectric characteristic are investigated by sintering temperature and value of x as functions of $Ti^{2+}$, $Zi^{2+}$ mol rate. MPB(morphotropic phase boundary) is defined in the x=0.522. Because it is appeared to the best piezoelectric and dielectric characteristic in the x=0.522, it can be application of step-up transformer.

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변압기 보호용 IED를 위한 개선된 알고리즘의 비교 (A Comparative of Improved Algorithm for IED of Power Transformer Protection)

  • 박철원;박재세;신명철
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 추계학술대회 논문집 전력기술부문
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    • pp.210-212
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    • 2003
  • Conventional PDC relaying with 2nd harmonic restraint makes some doubt in reliability. It can contain second harmonic component to a large extent even during internal fault, and shows a tendency of relative reduction because of the advancement of transformer's core material. It is, therefore, necessary to develop a new algorithm as well as a new technique for the effective and accurate discrimination. This paper deals with advanced algorithm, fuzzy logic based relaying by using flux differential, and a new fault detection criterion logic scheme by using wavelet transform. To comparative analysis of proposed techniques, the paper constructs power system model including power transformer, utilizing the EMTP, and collects data through simulation of various internal faults and magnetizing inrush.

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Transformer-based DKN for News Recommendation

  • Xia, Hanwei;Joe, Inwhee
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2020년도 춘계학술발표대회
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    • pp.523-525
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    • 2020
  • In recent years, deep learning has been widely used in news recommendation systems. In the previous personalized news recommendation, a large number of CF-based methods, content-based or hybrid methods have been proposed. But most of the works are only modeling the user's interaction history, ignoring the hidden meaning of the user's continuous behaviors. In this paper, we propose to adopt the powerful Transformer model in order to understand the hidden meaning of the user's continuous behaviors in news recommendations. The experimental results prove the superiority of the transformer, and the AUC has been significantly improved as compared to the original model.