• 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.

• 대한의용생체공학회:의공학회지
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• 제11권2호
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• pp.289-294
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• 1990

In this paper, for acoustic source reconstruction using angular frequency propagation method, the extended Prony method is propsed which is useful due to not having the inherent property of DFT. The simulation is carried out and its improved results are shown explicitly by comparing with DFT case.

• 대한토목학회논문집
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• 제30권4D호
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• pp.387-393
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• 2010

본 논문에서는 아스팔트 포장의 균열 성장을 분석하기 위해서 확장유한요소법을 사용하였다. 또한 아스팔트의 점탄성 효과를 고려하기 위하여 맥스웰 체인을 이용한 점탄성 구성방정식을 사용하였으며, 균열 모델로는 선형점성균열 모델을 사용하였다. 특히 점탄성 구성방정식을 구성할 때 측정을 통해 얻어지는 온도별 변형계수와 지연시간을 Prony 급수를 이용해 재구성한 크리프 곡선을 직접 사용하지 않고 연속적인 미분이 가능한 멱승 로그 식으로 대체하여 사용하였다. 멱승 로그 식으로 완화시간 스펙트럼(relaxation spectrum)을 계산하여 맥스웰 체인의 부분탄성계수(partial moduli)를 도출하였다. 멱승 로그 적정 식을 통해 구한 맥스웰 체인의 부분 탄성계수는 크리프 곡선을 직접 이용하는 방법으로 구한 부분 탄성계수 보다 안정적인 형태의 곡선을 나타내어 해석을 용이하게 해준다. 개발된 정적균열 해석 모듈을 이용하여 아스팔트 시편의 온도별 정적균열 성장 실험 결과를 성공적으로 모사할 수 있었다.

• 전기학회논문지
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• 제66권2호
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• pp.261-284
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• 2017

This paper describes the results of a low-frequency oscillation analysis using data measured in PMU installed in the KEPCO system, and the comparison with eigenvalues computed from the linear model. The dominant oscillation modes are estimated by applying various algorithms. The algorithms are: the extended Prony method; multiple time interval parameter estimation method; subspace system identification method; and spectral analysis. From the measurement data, modes of frequency 0.68[Hz] and 0.92[Hz] were estimated, and modes of frequency 0.63[Hz] and 0.80[Hz] were computed from the eigenvalue calculation. There was a difference between the mode estimated from measurement data and that from the linear model. This is possibly because of an error in the dynamic data of the KEPCO system used in eigenvalue calculation. Because wide area modes exist in the KEPCO system, these modes should be monitored continuously for the reliable operation of the system. In order to prevent total blackouts caused by wide area oscillation, moreover, contingency analysis should be performed in relation to this mode and appropriate measures should be established.