• 제목/요약/키워드: Prony Analysis

검색결과 32건 처리시간 0.019초

과도현상 해석을 위한 시간 영역에서의 등가축약법 :프로니 해석기법을 이용한 등가 구동점 임피던스 모델의 구성 (Time domain Reduction Method for Electromagnetic Transients Study: Equivalent Driving-Point Impedance Model using Prony Analysis)

  • 홍준희;박종근
    • 대한전기학회논문지
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    • 제43권4호
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    • pp.687-690
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    • 1994
  • This paper presents a method of obtaining transmission network equivalents from the network's response to the pulse excitation signal. Proposed method is base on Prony signal analysis and jtransfer function identification technique. As a result Thevenin-type of discrete-time filter model can be generated. It can reproduce the driving point impedance characteristic of the network.

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원통셸의 진동 데이터에 대한 파수해석을 위한 공간신호처리 방법의 응용 연구 (Study on Application of Spatial Signal Processing Techniques to Wavenumber Analysis of Vibration Data on a Cylindrical Shell)

  • 길현권;이찬
    • 한국소음진동공학회논문집
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    • 제20권9호
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    • pp.863-875
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    • 2010
  • The vibration of a cylindrical shell is generated due to elastic waves propagating on the shell. Those elastic waves include propagating waves such as flexural, longitudinal and shear waves. Those also include non-propagating decaying waves, i.e. evanescent waves. In order to separate contributions of each type of waves to the data for the vibration of the cylindrical shell, spatial signal processing techniques for wavenumber analysis are investigated in this paper. Those techniques include Fast Fourier transform(FFT) algorithm, Extended Prony method and Overdetermined Modified Extended Prony method(OMEP). Those techniques have been applied to identify the waves from simulated vibration signals with various signal-to-noise ratios. Futhermore, the experimental data for in-plane vibration of the cylindrical shell has been processed with those techniques to identify propagating waves(longitudinal, shear and flexural waves) and evanescent waves.

Fundamental Frequency Estimation in Power Systems Using Complex Prony Analysis

  • Nam, Soon-Ryul;Lee, Dong-Gyu;Kang, Sang-Hee;Ahn, Seon-Ju;Choi, Joon-Ho
    • Journal of Electrical Engineering and Technology
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    • 제6권2호
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    • pp.154-160
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    • 2011
  • A new algorithm for estimating the fundamental frequency of power system signals is presented. The proposed algorithm consists of two stages: orthogonal decomposition and a complex Prony analysis. First, the input signal is decomposed into two orthogonal components using cosine and sine filters, and a variable window is adapted to enhance the performance of eliminating harmonics. Then a complex Prony analysis that is proposed in this paper is used to estimate the fundamental frequency by approximating the cosine-filtered and sine-filtered signals simultaneously. To evaluate the performance of the algorithm, amplitude modulation and harmonic tests were performed using simulated test signals. The performance of the algorithm was also assessed for dynamic conditions on a single-machine power system. The Electromagnetic Transients Program was used to generate voltage signals for a load increase and single phase-to-ground faults. The performance evaluation showed that the proposed algorithm accurately estimated the fundamental frequency of power system signals in the presence of amplitude modulation and harmonics.

LS Prony에 의한 시간영역에서의 배경뇌파 특징추출 (The Feacture Extraction of Background EEG in the Time Domain by LS Prony Method.)

  • 주대성;황수용;최갑석
    • 대한의용생체공학회:의공학회지
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    • 제10권2호
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    • pp.131-138
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    • 1989
  • In this paper the feature of background EEG is extracted by LS Prony Method for the analysis of background EEG in the time domain. Autocorrelation leg estimates are not required with the LS Prony method. The Prony method is required any the solution of two serfs of simultaneous linear equation and a polynominal rooting. That the optimal order of this model is the 6-th order is determined by using Akaike' s Information Criterial test. From the experimential results the alpha band amplitude is the largest among alpha band beta band theta band delta band and beta band amplitude is larger than that of the delta band and theta band. The sustained time for the alph a band, the beta band, the delta band and the theta band is 2, 3461 (sec), 0.6490(sec), 0.3120(sec), 0.7046(sec) respectively. Consequenty the alpha band is maintained in the whole subjects, the beta band, the delta band, the theta band are existed intermittently in each subjects.

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시간영역에서 파라미터 추정과 전력계통의 저주파진동 해석 (A Parameter Estimation of Time Signal and Analysis of Low Frequency Oscillation in Power Systems)

  • 심관식;남해곤;김용구
    • 대한전기학회논문지:전력기술부문A
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    • 제54권3호
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    • pp.122-132
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    • 2005
  • This paper presents a novel approach based on Prony method to analysis of small signal stability in power system. Prony method is a valuable tool in identifying transfer function and estimating the modal parameter of power system oscillation from measured or computed discrete time signal. This paper define the relative residue of time signal and propose the condition to select low frequency oscillation in each generator. This paper describes the application results of proposed algorithm with respect to KEPCO systems. Simulation results show that the proposed algorithm can be used as another tools of power systems analysis.

프로니해석을 이용한 과도신호에서 기본 주파수 검출 (Extraction of the Fundamental Frequency from Transient Signals Using Prony's Analysis)

  • 조경래;강용철;김성수;박종근;강상희;홍준희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 추계학술대회 논문집 학회본부
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    • pp.99-101
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    • 1995
  • This paper presents a method for the extraction of the fundamental frequency from transient signals using Prony's analysis. There exists transient voltages and current after a fault including an exponetially decaying do component and harmonics as well as the fundamental frequency. As Prony's analysis uses exponetially decaying functions as basis functions it can extract the fundamental frequency precisely from transient signals. The results of comparison with DFT are also shown.

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Characterization of wind-induced vibrations in transmission lines by single-channel field data analysis

  • Yamaguchi, Hiroki;Gurung, Chandra B.;Yukino, Teruhiro
    • Wind and Structures
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    • 제8권2호
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    • pp.121-134
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    • 2005
  • Wind-induced vibrations measured in the Tsuruga Test Line are characterized in this paper by single-channel data analysis based on piecewise application of Prony's method. Some of events were identified as galloping, while most of events were buffeting responses, which were confirmed partly by the buffeting analysis. Effects of end condition etc. on the response characteristics are also discussed.

PRONY 해석을 사용한 전력계통 저주파 전동모드의 온라인 추정 (On-line Estimation of Low Frequency Osillation Mode Using Prony Analysis in the Power System)

  • 이기영;심관식;남해곤
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 추계학술대회 논문집 전력기술부문
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    • pp.167-170
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    • 2002
  • This paper presents a mode estimation for the analysis of small signal stability in power system. The low frequency oscillation mode estimation is based on Prony method that is able to accurately compute the modal parameters (frequency and damping) of oscillation mode from time series. The time series or time domain data is obtained in TSA process. The method applied to a large scale power systems and compared on the eigenanalysis results.

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프로니 분석을 이용한 주행 환경에서의 브레이크 래틀 소음 발생 특성 분석 (Signal Processing for MoC Brake Rattle Noise of Moving Vehicles Using Prony Analysis)

  • 이재철;곽윤상;박준홍
    • 비파괴검사학회지
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    • 제35권4호
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    • pp.245-250
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    • 2015
  • MoC(motor on caliper)를 이용한 자동차 브레이크 시스템이 장착되었을 때 도로 조건에 의해 발생하는 진동으로 래틀 소음 발생 가능성을 검증하기 위하여, 무향실에서 가진기(quiet shaker)를 이용하여 차량상태와 동일한 진동을 인가하면서 소음을 동시에 측정하여 실제 운행 중에 발생하는 MoC 래틀 소음을 재현하였다. 소음 발생 조건 및 원인을 파악하는 신호 처리 방법을 제안하였다. 원리 시험을 통해서 충돌되는 두 부품 간의 고유 진동수를 확인하고, 소음이 발생할 때의 음압/진동 신호의 임팩트성 소음에 대해 주파수 성분을 분석하여 소음 발생 빈도에 영향을 줄 수 있는 인자를 찾는 방법을 제안하였다. 더불어 래틀 소음을 분석하기 위한 FFT 주파수 분석을 실시하고 장단점을 분석하였으며, 단점을 보완하기 위한 프로니 분석 방법에 대해서 실제 두 가지 다른 브레이크 시스템의 내구 테스트 결과에 적용하여 효율성을 입증하였다.

LS Prony에 의한 시간영역에서의 배경뇌파 특징추출 (The feacture extraction of Background EEG in the time domain by LS Prony Method)

  • 최갑석;황수용;유병욱;주대성
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1989년도 춘계학술대회
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    • pp.45-49
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    • 1989
  • In this paper the feature of background EEG is extracted by LS Prony Method for the analysis of background EEG in the time domain. From the experimential results the alpha band amplitude is the largest among bands and beta band amplitude is larger than that of the delta band and theta band. The sustained time for the alpha band, the beta band, the delta band and the theta band is 2.3461(sec), 1.8980(sec), 0.3120(sec), 0.2930(sec) respectively. Consequently the alpha band and the beta band are maintained in the whole, segment. The delta band, the theta band are existed intermittently in the segment.

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