• Title/Summary/Keyword: Phase identification

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Vibration Exciter Design for Flow Resonance (유동공진을 위한 가진기 설계)

  • Nam, Yoon-su;Choi, Jae-hyuck
    • Journal of Industrial Technology
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    • v.20 no.B
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    • pp.125-130
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    • 2000
  • Heat dissipation technology using flow resonant phenomenon is a kind of new concept in heat transfer area. A vibration exciter is needed to generate air turbulence which has the natural shedding frequency of heat system. A mechanical vibrating device for the air flow oscillation is introduced, which is driven by a moving coil actuator. An analytical dynamic model for this mechanical vibration exciter is presented and its validity is verified by the comparison with experimental data. Values of some unknown system parameters in the analytic model are estimated through the system identification approach. Based on this mathematical model, a high bandwidth vibration phase, it turns out the high modal resonant characteristics of vibrating plate are the major barrier against obtaining a high bandwidth vibration exciter.

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Topological Observability Analysis Using Incidence Matrix in Power Systems (접속행열을 이용한 전력계통 입상학적 가관측성 해석)

  • Seog-Joo Kim;Young-Hyun Moon
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.36 no.11
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    • pp.769-776
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    • 1987
  • This paper deals with the topological observability analysis and the development of an observable island identification algorithm for state estimation in power systems, by using the incidence matrix and bus voltage grouping. An analogy of the DC power flow method to the DC circuit analysis is introduced, and all the relationships between power flows and phase angles are replaced by the corresponding current-voltage relation. As a result, a set of topological measurement equation expressed in the form of the incidince matrix is derived for the topological analysis, and the observability test is carried out by examining the rand of the measuremint matrix. The integer Gauss elimination method is introduced in the determination of matrix rand, so that the proposed observability test yields a precise observability criterion without any nearly-zero pivot problem encountered in the conventional algorithm. Also, an observable island identification algorithm reduced its computational time in comparision with the conventional algorithms. The proposed algorithms have been tested for sample systems, and their practicability has verified.

Identification of Interval Model for Parametric Uncertain Systems (파라미터 불확실성 시스템의 구간모델 식별)

  • 김동형;우영태;김영철
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.8
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    • pp.462-470
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    • 2003
  • This paper presents an algorithm of identifying parametric uncertainty by way of an interval model. For a given set of frequency response data from an uncertain linear SISO system of which the upper and the lower bounds of both magnitude and phase responses are represented, the proposed algorithm consists of two main parts: first, the nominal model is identified by using Least Square Estimation (LSE), and then an interval model is constructed by expanding the extremal properties of interval systems, so that tightly enclose the given envelopes within those of interval model. Two numerical examples are given to demonstrate and verify the developed algorithm. The identified interval model can be used for evaluating the worst case performance and stability margins against parametric uncertainty by using some extremal properties on interval systems.

Opto-Digital fingerprint identification system for security verification (안전 검증을 위한 광-디지탈 지문인식 시스템)

  • Seung Hyun Lee;Sang-Yi Yi;Hyung Ji Kim
    • Journal of the Korean Society of Safety
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    • v.11 no.2
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    • pp.143-149
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    • 1996
  • We propose an Opto-Digital hybrid fingerprint Identification system based on the binary phase extraction joint transform correlator(BPEJTC) for validation and security yerification. It is shown that since the BPEJTC provides higher peak-to-sidelobe ratio than that of the conventional JTC and does not cause correlation peaks due to intra-class association, this system is well-adaptive to the multiple object environments. Experimental results show that this system has a good performance in the presence of multiple images and the variations of the same person.

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Phasing Procedure with Automatic Identification in the ARQ mode of the NBDP (NBDP시스템의 ARQ모드에 있어서 자동식별 위상동기)

  • 이흥기;김기문
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.2 no.1
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    • pp.79-85
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    • 1998
  • The 9-digit MMSI(Maritime Mobile Service Identity) in the NBDP is converted to the 7-digit identity signal, used to identify to the phase of and to synchronize to the clock of the ISS(Information Sending Station) automatically for phasing procedure between radio stations. In this paper, algorithms for the automatic identification phasing procedures and for conversions, calculations between 7-signals and 9-identity, those check-numbers in the phasing procedures for calling of the NBDP are discussed and designed. And a method of the faster locking and phasing for calling than that of recommended by ITU-R is suggested and implemented.

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Identification Model of Concentrated Winding Single Phase Induction Motor using Neural Networks (신경회로망을 이용한 집중권 방식 유도기의 식별 모델)

  • Chae, Myeong-Gi;Cha, Hyeon-Rok;Yun, Cheol-Ho;Jeong, Tae-Uk
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.11a
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    • pp.228-231
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    • 2006
  • 모터의 설계를 위해서는 여러가지 방법에 의해서 해석을 먼저 수행하는 것이 필수적이다. 이를 위해서는 시스템에 대한 최적 모델링이 필수적인데 모터의 전자기적인 해석에는 비선형성이 크기 때문에 최적의 모델링이 쉽지 않다. 특히 집중권선 방식을 이용한 유도기는 자속의 집중으로 인해 고조파 발생 등 많은 문제점을 안고 있어서 실제로 유도기 설계시 설계자들이 많은 어려움을 겪고 있으며, 많은 설계자들은 대부분 등가회로를 이용한 방법으로 시뮬레이션하고, 자신의 경험을 바탕으로 시행착오를 거쳐 가면서 설계를 하고 있다. 그러나 그렇게 설계된 제품이 최적의 설계인지도 의문시 되는 경우가 대부분이다. 따라서 본 논문에서는 모터의 최적설계를 위하여 기존 개발한 집중권 방식 유도기를 대상으로 신경회로망을 이용하여 시스템을 모델링하였고, 그 결과를 확인하기 위해 기존 개발한 집중권 유도기의 실측치와 신경회로망을 이용하여 모델링한 방법을 비교, 제시하였다.

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Structural analysis based on multiresolution blind system identification algorithm

  • Too, Gee-Pinn James;Wang, Chih-Chung Kenny;Chao, Rumin
    • Structural Engineering and Mechanics
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    • v.17 no.6
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    • pp.819-828
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    • 2004
  • A new process for estimating the natural frequency and the corresponding damping ratio in large structures is discussed. In a practical situation, it is very difficult to analyze large structures precisely because they are too complex to model using the finite element method and too heavy to excite using the exciting force method; in particular, the measured signals are seriously influenced by ambient noise. In order to identify the structural impulse response associated with the information of natural frequency and the corresponding damping ratio in large structures, the analysis process, a so-called "multiresolution blind system identification algorithm" which combines Mallat algorithm and the bicepstrum method. High time-frequency concentration is attained and the phase information is kept. The experimental result has demonstrated that the new analysis process exploiting the natural frequency and the corresponding damping ratio of structural response are useful tools in structural analysis application.

Identification of Partial Discharge Defects based on Back- Propagation Algorithm in Eco-friendly Insulation Gas

  • Sung-Wook Kim
    • Journal of information and communication convergence engineering
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    • v.21 no.3
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    • pp.233-238
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    • 2023
  • This study presents a method for identifying partial discharge defects in an eco-friendly gas insulated system using a backpropagation algorithm. Four partial discharge (PD) electrode systems, namely, a free-moving particle, protrusion on the conductor, protrusion on the enclosure, and voids, were designed to simulate PD defects that can occur during the operation of eco-friendly gas-insulated switchgear. The PD signals were measured using an ultrahigh-frequency sensor as a nonconventional method based on IEC 62478. To identify the types of PD defects, the PD parameters of single PD pulses in the time and frequency domains and the phase-resolved partial discharge patterns were extracted, and a back-propagation algorithm in the artificial neural network was designed using a virtual instrument based on LabVIEW. The backpropagation algorithm proposed in this paper has an accuracy rate of over 90% for identifying the types of PD defects, and the result is expected to be used as a reference database for asset management and maintenance work for eco-friendly gas-insulated power equipment.

Characterization of Five Shu Acupoint Pattern in Saam Acupuncture Using Text Mininig (텍스트마이닝을 통한 사암침법 오수혈 사용 패턴 분석)

  • Park, In-Soo;Jung, Won-Mo;Lee, Ye-Seul;Hahm, Dae-Hyun;Park, Hi-Joon;Chae, Younbyoung
    • Korean Journal of Acupuncture
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    • v.32 no.2
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    • pp.66-74
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    • 2015
  • Background : Saam acupuncture were composed by applying the elemental concepts from the Five Phase theory - the relationships between the cycles such as Saeng(Sheng, 'nourishing' or 'creating') and Geuk(Ke, 'suppressing' or 'controlling') - onto the Five Phase points and 12 channels to compensate for the imbalance in each of the 12 main energy traits. Objective : The present study is aimed to find out the characteristics of Five Phase points pattern in Saam acupuncture. Methods : We analysed the characteristics of five elements of the Five Phase points in Korean medical texts such as Saamdoinchimguyogyeol, Dongeuibogam and Chimgugyeongheombang in mid Chosun Dynasty. Using non-negative factorization(NNMF) methods, we extracted the feature matrix of five elements of Five Phase points in each classic medical text. Results : In Saam acupuncture, two characteristics were most prominent: (1) "Self" component of Five elements, (2) "Mother" and "Grandmother" component of Five elements. Conclusions : Saam acupuncture used the combination of Five-Shu acupoint based on ZangFu pattern identification. Our findings suggest that grasping the characteristics of Five Phase points combinations can improve the understanding the selection of the relevant acupoints based on the ZangFu pattern identifications.

Vertical Upward Air-Water Two-Phase Flow Regime Identification (수직상향류 공기-물 이상유동영역 판별)

  • Lee, Ba-Ro;Jang, Young-Jun;Ko, Min-Seok;Lee, Bo-An;Lee, Yeon-Gun;Kim, Sin
    • Journal of Energy Engineering
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    • v.22 no.4
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    • pp.362-369
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    • 2013
  • Two-phase flow is frequently observed in many industries such as nuclear power plants and oil transportation. Two-phase flow regime depends on the flow rates, the fluid properties and the structure of flow channels. Since the identification of the flow regime is of great importance in the system design and the safety analysis, a number of theoretical and experimental investigations have been performed. This paper presents a basic research on the characteristics of each flow regime and transition boundary in the two-phase flows. The flow regime of the upward air-water flow in the vertical tube, 30 mm in the inner diameter, is distinguished by using the high-speed camera and the Wire-mesh sensor(WMS). The identified experimental data are compared with the flow regime maps proposed by Taitel et al, Mishima and Ishii. Even though there is slight difference in the transition boundary, the experimental data show general agreement with these flow regime maps.