• 제목/요약/키워드: Prony Method

검색결과 43건 처리시간 0.019초

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.

순간주파수를 이용한 전력선 신호의 이상현상검출 (Detection of Anormalies on the Power Line using the Instantaneous Frequencies)

  • 임병관
    • 대한전기학회논문지:전력기술부문A
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    • 제55권12호
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    • pp.544-548
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    • 2006
  • The instantaneous frequency gives a frequency value at a time instance. Thus, it is natural to use the instantaneous frequency for detecting disturbances of voltage signal in power line. Various instantaneous frequency estimators are introduced. By applying to different types of disturbed signals, we show the estimators' ability to classify flickers. Also, the computational costs are compared between different instantaneous frequency estimators. The Prony's method (PRONY) and the modified covariance method (MCOV) need relatively smaller amount of calculation than the Teaser-Kaiser energy operator based estimator (DESA II). For an AM-FM modulated signal, the tracking performance of different instantaneous frequency estimators is also compared. Through simulation, it is shown that MCOV produces less variant frequency estimation values than DESA II and PRONY method.

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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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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기본파 성분의 정확한 측정을 위한 해석적 방법 (An Analytic Method for Measuring Accurate Fundamental Frequency Components)

  • 남순열;강상희;박종근
    • 대한전기학회논문지:전력기술부문A
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    • 제51권4호
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    • pp.175-182
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    • 2002
  • This paper proposes an analytic method for measuring the accurate fundamental frequency component of a fault current signal distorted with a DC-offset, a characteristic frequency component, and harmonics. The proposed algorithm is composed of four stages: sine filer, linear filter, Prony's method, and measurement. The sine filter and the linear filter eliminate harmonics and the fundamental frequency component, respectively. Then Prony's method is used to estimate the parameters of the DC-offset and the characteristic frequency component. Finally, the fundamental frequency component is measured by compensating the sine-filtered signal with the estimated parameters. The performance evaluation of the proposed method is presented for a-phase to around faults on a 345 kV 200 km overhead transmission line. The EMTP is used to generate fault current signals under different fault locations and fault inception angles. It is shown that the analytic method accurately measures the fundamental frequency component regardless of the characteristic frequency component as well as the DC-offset.

신호처리기법을 이용한 구조물의 동특성치 추정 (Estimation of Structural Dynamic Properties Using Signal Processing Techniques)

  • 정태영;김양한
    • 대한조선학회지
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    • 제27권2호
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    • pp.87-95
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    • 1990
  • 본 논문에서는 충격시험에 의해 얻어진 구조물의 과도진동응답 신호로부터 구조물의 동특성치를 구하는 기존방법에 대하여 살펴보고 이들 기존 방법의 단점을 개선할 수 있는 방법으로 최대엔트로피방법(Maximum Entropy Method)과 최소자승 Prony법(Least Square Prony Method)를 도입하여 수치실험을 통한 성능시험을 수행하였다. 그리고 적용예로서 선박의 낙묘시험으로부터 얻은 시계열에 이들을 적용하여 그 결과 FFT법 결과와 비교하였다. 연구결과, 최대엔트로피방법은 구조물의 인접 고유진동수들이 가까이 있고 얻을 수 있는 동적응답 시계열의 data 길이가 짧을 때의 고유진동수 추정에 유용하나 감쇠비 산정에는 유용하지 못함이 밝혀졌다. 또한, 최소자승 Prony법은 과감쇠계의 고유진동수 및 감쇠비 추정에 유용하나 동적응답 시계열에 많은 잡음이 포함되어 있을 경우, 감쇠비 추정성능이 크게 저하되는 것으로 나타났다.

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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.

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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IIR 필터를 기저로 이용한 능동소음제어 알고리즘의 설계 기법 (Design of the ANC algorithm using IIR filter bases)

  • 오시환;박영진
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.445-448
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    • 1996
  • For a lightly damped system, IIR based filter can have better performance than FIR filter as an adaptive filter in ANC algorithm. IIR based filter which has an infinite impulse response can model a lightly damped acoustic system with a small number of weights compared that of FIR filter and has no nonlinearity and instability problems on weight updating process which are associated to the conventional IIR filters. There are, however, some drawbacks such as design parameters to be determined earlier to get better performance and much increased computational power especially in the presence of error path. In this study, base filter parameters are determined in systematic manner, with the knowledge of the nominal impulse response of the system which should be identified, by Prony's method. Three methods reducing the computational load are proposed and their performance and application limits are discussed. Simulation and experimental results demonstrate the feasibility of the proposed method.

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표면 EMG신호의 상관함수를 이용한 손의 움직임 검출 (Detection of Hand Motions using Cross-correlation of Surface EMG)

  • 이용희;최천호;김순석;김동호
    • 대한의용생체공학회:의공학회지
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    • 제29권3호
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    • pp.205-211
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    • 2008
  • A method of detecting the specific patterns related to hand motions using the surface EMG(electromyogram) on an arm is proposed and tested. To do this, we obtain separately modeling parameters based on the LP, Prony estimator, and calculate the latency shift value between channels by cross-correlation function. Then, the coefficients and latency shift value are applied to the detection method to classify the EMG signals related to hand motions. Compared with the conventional methods, the present method are more useful to detect the motion intention of the user as an input device in the mobile and wearable computing environments. And, We expect that the results of this study are helpful in the development of rehabilitation devices for the handicapped.