• 제목/요약/키워드: local signals

검색결과 390건 처리시간 0.024초

이진 옵셋 반송파 신호에 알맞은 국소신호 설계 (Local Signal Design for Binary Offset Carrier Signals)

  • 김홍득;윤석호
    • 한국통신학회논문지
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    • 제38A권10호
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    • pp.845-849
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    • 2013
  • 본 논문에서는 Galileo 시스템에 사용할 이진 옵셋 반송파 (binary offset carrier: BOC) 신호의 자기상관함수가 갖는 주변 첨두를 제거하기 위해 국소신호를 설계한다. 구체적으로는 BOC 신호를 분석하여 기존 기법의 국소신호가 사인 혹은 코사인 위상의 BOC 신호에만 적용되는 것을 밝히고, 사인과 코사인 위상 BOC 신호에 모두 적용 가능한 국소신호를 설계한다. 이후 설계한 국소신호와 수신 BOC 신호를 상관하고 상관한 부상관함수를 조합함으로써 주변 첨두가 제거된 상관함수를 생성한다. 모의실험을 통해 설계한 국소신호를 이용하여 생성한 상관함수는 주변 첨두가 모두 제거될 뿐만 아니라 설계한 국소신호는 사인과 코사인 위상 BOC 신호에 모두 적용되는 것을 확인한다.

Estimation of the Nuclear Power Peaking Factor Using In-core Sensor Signals

  • Na, Man-Gyun;Jung, Dong-Won;Shin, Sun-Ho;Lee, Ki-Bog;Lee, Yoon-Joon
    • Nuclear Engineering and Technology
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    • 제36권5호
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    • pp.420-429
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    • 2004
  • The local power density should be estimated accurately to prevent fuel rod melting. The local power density at the hottest part of a hot fuel rod, which is described by the power peaking factor, is more important information than the local power density at any other position in a reactor core. Therefore, in this work, the power peaking factor, which is defined as the highest local power density to the average power density in a reactor core, is estimated by fuzzy neural networks using numerous measured signals of the reactor coolant system. The fuzzy neural networks are trained using a training data set and are verified with another test data set. They are then applied to the first fuel cycle of Yonggwang nuclear power plant unit 3. The estimation accuracy of the power peaking factor is 0.45% based on the relative $2_{\sigma}$ error by using the fuzzy neural networks without the in-core neutron flux sensors signals input. A value of 0.23% is obtained with the in-core neutron flux sensors signals, which is sufficiently accurate for use in local power density monitoring.

고분자 압전센서 신호를 이용한 Gr/Ep 복합재 적층판의 손상유발 충격하중의 복원 (Reconstruction of Damage-Induced Impact Force of Gr/Ep Composite Laminates Using Piezoelectric Thin Film Sensor Signals)

  • 박찬익;김인걸;이영신
    • Composites Research
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    • 제15권5호
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    • pp.7-13
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    • 2002
  • 압전필름센서는 복합재 구조물의 저속충격응답을 관측하기에 우수한 특성을 지니고 있다. 본 연구에서는 Gr/Ep 복합재 적층판이 손상이 발생할 수 있을 정도의 충격에너지를 받았을 때 압전필름센서 신호를 이용하여 충격거동을 모니터링할 수 있는 가능성에 대하여 고찰하였다. 손상이 발생하지 않는 저에너지 충격조건부터 국부적인 손상을 유발할 수 있는 충격조건까지 압전필름센서가 부착된 Gr/Ep 복합재 적층판에 대하여 16가지의 저속충격시험을 수행하였다. 세 가지 조거의 충격시험에서 기지균열 및 층간분리 등의 국부적인 손상이 발생하였으나, 충격력과, 변위, 변형률, 압전센서 신호와의 관계를 이용한 선형해석 모델을 사용하여 충격하중에 의한 복합재 적층판의 응답을 예측하는 정방향 문제와 압전센서 신호로부터 충격력을 복원하는 역방향 문제에서 시험과 해석 결과는 비교적 잘 일치하는 경향을 보였다. 복원된 충격력으로부터 국부적인 손상이 발생할 정도의 충격까지는 압전필름센서 신호를 이용하여 충격력을 정확히 복원할 수 있음을 확인하였다.

웨이브릿 변환을 기반으로 한 심자도 신호의 국소 적응잡음제거 (Local Adaptive Noise Cancellation for MCG Signals Based on Wavelet Transform)

  • 김용주;박희준;원철호;이용호;김인선;김명남;조진호
    • Progress in Superconductivity
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    • 제5권1호
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    • pp.26-30
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    • 2003
  • Magneto-cardiogram(MCG) signals may be highly distorted by the environmental noise, such as power-line interference, broadband white noise, surrounding magnetic noise, and baseline wondering. Several kinds of digital filters and noise cancellation methods have been designed and realized by many researchers, but these methods gave some problems that the original signal may be distorted by digital filter due to the wideband characteristics of background noise. To eliminate noise effectively without distortion of MCG signals, we performed multi-level frequency decomposition using wavelet packets and local adaptive noise cancellation in each local frequency range. In addition to the proposed wavelet filter to eliminate these various non-stationary noise elements, the local adaptive filter using the least mean square(LMS) algorithm and the soft threshold do-noising method are introduced in this paper. The signal to noise ratio(SNR) and the reconstruction square error(RSE) are calculated to evaluate the performance of the proposed method and compared with the results of the conventional wavelet filter and adaptive filter. The experimental results show that the proposed local adaptive filtering method is better than the conventional methods.

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Modulated LII 신호와 이색법을 이용한 매연입자 온도 계측 (The Measurement of Soot Particle Temperatures Using a Two-Color Pyrometry and Modulated LII Signals)

  • 남연우;이원남
    • 한국연소학회:학술대회논문집
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    • 한국연소학회 2006년도 제33회 KOSCO SYMPOSIUM 논문집
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    • pp.110-116
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    • 2006
  • A new measurement technique based on a two-color pyrometry and modulated LII signals to measure local soot particle temperatures has been proposed and examined experimentally. The theoretical review suggests that modulated LII signals of soot particles is suitable for a two-color pyrometry as long as the temperature increase due to laser heating remains relatively small. The modulated LII signals from ethylene and propylene diffusion flames were simultaneously measured at 550 and 750 nm by a dual measurement system that consists of optical fibers, PMT and lock-in amps. The local soot particle temperatures of diffusion flames could be obtained using a two-color pyrometry and modulated LII signal based new technique.

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Damage detection for beam structures based on local flexibility method and macro-strain measurement

  • Hsu, Ting Yu;Liao, Wen I;Hsiao, Shen Yau
    • Smart Structures and Systems
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    • 제19권4호
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    • pp.393-402
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    • 2017
  • Many vibration-based global damage detection methods attempt to extract modal parameters from vibration signals as the main structural features to detect damage. The local flexibility method is one promising method that requires only the first few fundamental modes to detect not only the location but also the extent of damage. Generally, the mode shapes in the lateral degree of freedom are extracted from lateral vibration signals and then used to detect damage for a beam structure. In this study, a new approach which employs the mode shapes in the rotary degree of freedom obtained from the macro-strain vibration signals to detect damage of a beam structure is proposed. In order to facilitate the application of mode shapes in the rotary degree of freedom for beam structures, the local flexibility method is modified and utilized. The proposed rotary approach is verified by numerical and experimental studies of simply supported beams. The results illustrate potential feasibility of the proposed new idea. Compared to the method that uses lateral measurements, the proposed rotary approach seems more robust to noise in the numerical cases considered. The sensor configuration could also be more flexible and customized for a beam structure. Primarily, the proposed approach seems more sensitive to damage when the damage is close to the supports of simply supported beams.

자기단 전원 임피던스 추정 기법을 사용한 병행 2회선 송전선로 고장점 표정 알고리즘 (A Fault Location Algorithm Using Adaptively Estimated Local Source Impedance for a Double-Circuit Transmission Line System)

  • 박건호;강상희;김석일;신종한
    • 전기학회논문지
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    • 제61권3호
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    • pp.373-379
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    • 2012
  • This paper presents a fault location algorithm based on the adaptively estimated value of the local sequence source impedance for faults on a parallel transmission line. This algorithm uses only the local voltage and current signals of a faulted circuit. The remote current signals and the zero-sequence current of the healthy adjacent circuit are calculated by using the current distribution factors together with the local terminal currents of the faulted circuit. The current distribution factors consist of local equivalent source impedance and the others such as fault distance, line impedance and remote equivalent source impedance. It means that the values of the current distribution factors can change according to the operation condition of a power system. Consequently, the accuracy of the fault location algorithm is affected by the two values of equivalent source impedances, one is local source impedance and the other is remote source impedance. Nevertheless, only the local equivalent impedance can be estimated in this paper. A series of test results using EMTP simulation data show the effectiveness of the proposed algorithm. The proposed algorithm is valid for a double-circuit transmission line system where the equivalent source impedance changes continuously.

웨이브렛변환을 이용한 기어결함의 진단 (The Detection of Gear failures Using Wavelet Transform)

  • Park Sung-Tae;Gim Jae-Woong
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문초록집
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    • pp.363.1-363
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    • 2002
  • This paper presents that the Wavelet Transform can be used to detect the various local defects in a gearbox. Two types of defects which are broken tooth and localized wear, are experimented and the signals are collected by accerometer and acoustic sensors and analyized. Because of the complecity of the signals acquired form sensors, it is needed to identify the interesting signal. (omitted)

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Characteristics analysis of local ice load signals in ice-covered waters

  • Lee, Jong-Hyun;Kwon, Yong-Hyeon;Rim, Chae-Whan;Lee, Tak-Kee
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제8권1호
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    • pp.66-72
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    • 2016
  • The aim of this paper is to investigate the characteristics of the signal of local ice load acting on side shell in the bow part due to ice broken by an icebreaker in ice-covered waters. The Korean icebreaking research vessel "ARAON" voyaged to the Arctic Ocean during the summer of 2010, and measurements of local ice load were carried out using several strain gauges. In this study, the time history of measured signals was analyzed and the characteristic values including rising time and half-decaying time were presented using non-dimensional parameters.

시간-주파수 분석을 이용한 파이프 부식감시 (Application of Time Frequency Analysis to On Line Monitoring of Pipe Corrosion)

  • 박기용;이철권;이상정
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
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    • pp.2616-2618
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    • 2005
  • Time-frequency analysis (TFA) method was applied to identify the integrity of the internal local surface of a pipe where some chemical corrosions are likely to occur by acid mixed in the coolant of nuclear power plants. The spalling out of internal material pieces by corrosion induces some transient signals and the change of structural vibration of a local point in the pipe. It is therefore possible to detect the corrosion detachment through the measurement of the transient acoustic signals or the vibration signals. In this presentation, the TFA was configured on the vibrational signal data of the pipe and it is identified that the TFA can Provide an important information, i.e., the amplitude fluctuations in the instantaneous frequency of each characteristic frequency.

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