• 제목/요약/키워드: Time-frequency Transform

검색결과 908건 처리시간 0.03초

Wavelet Transforms: Practical Applications in Power Systems

  • Akorede, Mudathir Funsho;Hizam, Hashim
    • Journal of Electrical Engineering and Technology
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    • 제4권2호
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    • pp.168-174
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    • 2009
  • An application of wavelet analysis to power system transient generated signals is presented in this paper. With the time-frequency localisation characteristics embedded in wavelets, the time and frequency information of a waveform can be presented as a visualised scheme. This feature is very important for non-stationary signals analysis such as the ones generated from power system disturbances. Unlike the Fourier transform, the wavelet transform approach is more efficient in monitoring fault signals as time varies. For time intervals where the function changes rapidly, this method can zoom in on the area of interest for better visualisation of signal characteristics.

큐프렌시 영역 해석을 통한 드라이브 트레인 결함 분석 (Fault Analysis of the Wind Turbine Drive Train in the Quefrency Region)

  • 박용희;씨웨이;박현철
    • 신재생에너지
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    • 제9권3호
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    • pp.5-13
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    • 2013
  • In the previous research, dynamic results have been analyzed in the time and frequency regions. Time and frequency region can be transformed by the Fourier transform. This transform is very useful about analyzing system behaviors. However, because of coupling, it cannot give clear results in the real system including lots of defects. In this paper, we introduced the analysis based on quefrency region to represent physical means clearly from complicated results. We simulated the drive train system which has defects, and compared between frequency and quefrency region to show its excellence. To do this process, We established mathematical model. The equation of motion was derived by the Lagrange equation and constraint equations. The constraint equation included relationships about gear mesh, flexibility of shaft. About numerical analysis, the Newmark beta method was used to get results. And FFT (Fast Fourier Transform) which converts results from time domain to frequency, qufrequency was used.

Deformation in transversely isotropic thermoelastic medium using new modified couple stress theory in frequency domain

  • Lata, Parveen;Kaur, Harpreet
    • Geomechanics and Engineering
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    • 제19권5호
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    • pp.369-381
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    • 2019
  • The objective of this paper is to study the two dimensional deformation in transversely isotropic thermoelastic medium without energy dissipation due to time harmonic sources using new modified couple stress theory, a continuum theory capable to predict the size effects at micro/nano scale. The couple stress constitutive relationships have been introduced for transversely isotropic thermoelastic medium, in which the curvature tensor is asymmetric and the couple stress moment tensor is symmetric. Fourier transform technique is applied to obtain the solutions of the governing equations. Assuming the deformation to be harmonically time-dependent, the transformed solution is obtained in the frequency domain. The application of a time harmonic concentrated and distributed sources have been considered to show the utility of the solution obtained. The displacement components, stress components, temperature change and couple stress are obtained in the transformed domain. A numerical inversion technique has been used to obtain the solutions in the physical domain. The effects of angular frequency are depicted graphically on the resulted quantities.

웨이브렛 변환을 이용한 잔향시간의 측정 (Estimation of Reverberant Time Using Wavelet Transform)

  • 이상권;김봉기
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2000년도 춘계학술대회논문집
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    • pp.1762-1766
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    • 2000
  • Estimation of reverberant time is one of important factor for the calculation of absorption ration of absorption material. In general the digital filter bank has been used for the, estimation of decay curve of the sound pressure in a reverberant room. However at low frequency, it is not easy to get a good linear decay curve for the estimation of reverberant time. Now, wavelet transform is applied to this difficult task, a good result has been obtained at low frequency. The decay curve using wavelet filter bank is better than that using digital filter bank at low frequency. At higher frequency, both curves are similar.

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이산 웨이블릿 변환을 이용한 영상의 초고해상도 기법 (Super-resolution Algorithm using Discrete Wavelet Transform for Single-image)

  • 임종명;유지상
    • 방송공학회논문지
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    • 제17권2호
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    • pp.344-353
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    • 2012
  • 본 논문에서는 이산 웨이블릿 변환(Discrete Wavelet Transform: DWT)을 이용한 새로운 초고해상도 기법을 제안한다. 기존의 단일 영상에 적용되는 초고해상도 기법들의 경우 영상에서의 고주파 대역을 찾기 위하여 확률 기반의 방법들을 사용하였다. 그로 인한 연산의 복잡도 증가는 처리시간 증가라는 문제점을 발생시켰다. 제안된 기법에서는 고주파 대역을 찾기 위한 방법으로 DWT를 이용한다. DWT 수행 시 수반되는 다운 샘플링 과정을 수행하지 않음으로써 입력 받은 영상과 동일한 크기의 고주파 부대역(sub-band)들을 생성하고, 이 부대역들과 입력 받은 영상을 조합하여 이산 웨이블릿 역변환(Inverse Discrete Wavelet Transform: Inverse DWT)을 수행함으로써 고해상도의 영상을 획득한다. 제안하는 기법에서 사용한 실험영상은 원본영상($512{\times}512$)을 다운 샘플링하여 획득한 실험영상($256{\times}256$)을 사용한다. 실험을 통하여 제안된 기법이 기존의 보간법에 비해 향상된 효율을 보이며, 확률 기반의 기법들에 비해 처리시간이 줄어드는 것을 확인하였다.

웨이블릿 변환을 이용한 터널 콘크리트 라이닝의 두께 검사법 (Thickness assessment of tunnel concrete lining using wavelet transform)

  • 이인모;전일수;홍은수;이주공
    • 한국터널지하공간학회 논문집
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    • 제5권1호
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    • pp.13-21
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    • 2003
  • 콘크리트 라이닝의 안정성을 검토하기 위해 지난 수년간 많은 연구가 이루어졌으며, 많은 비파괴 조사 기법들이 개발되고 발전하였다. 이러한 비파괴 조사 기법들은 그 신호 해석 과정에서 대부분 푸리에 이론을 근간으로 하고 있다. 그러나 진동신호에 대하여 푸리에 해석을 적용할 경우 결과는 단지 주파수 영역상에서 확인될 뿐이며, 이러한 결과로는 정확한 대상 신호의 분석을 기대할 수 없다. 따라서 본 연구에서는 충격하중으로 인하여 발생한 비정상 파의 해석을 위하여 웨이블릿 이론을 적용하였으며, 웨이블릿 변환의 적용성을 확인하기 위하여 콘크리트 라이닝을 모사한 모형을 대상으로 실험을 수행하고, 제안된 이론을 바탕으로 콘크리트 라이닝의 두께를 추정하였다. 본 연구로부터 푸리에 변환에 비해 웨이블릿 변환이 뛰어난 분해능을 제공함을 확인할 수 있었으며, 분산성을 갖는 파를 해석함에 있어서도 웨이블릿 변환이 뛰어난 신호 해석법임을 확인할 수 있었다.

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웨이브렛 변환을 이용한 Exercise ECG 신호분석 알고리즘의 개발 (Development of Exercise ECG Analysis Algorithm Using Wavelet Transform)

  • 박광리;이경중
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1996년도 추계학술대회
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    • pp.213-216
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    • 1996
  • In this research we would like to develop an exercise ECG signal analysis algorithm using the wavelet transform, which is possible to analyze the time and the frequency simultaneously. Wavelet transform has an advantage of dividing the nonstationary signals into the high frequency and low frequency band successively. Thus, it can separates the unnecessary noises from the frequency band of QRS complex and then using the selected frequency band we could detect the QRS complex and ST segment.

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Structural time-varying damage detection using synchrosqueezing wavelet transform

  • Liu, Jing-Liang;Wang, Zuo-Cai;Ren, Wei-Xin;Li, Xing-Xin
    • Smart Structures and Systems
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    • 제15권1호
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    • pp.119-133
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    • 2015
  • This paper proposed a structural time-varying damage detection method by using synchrosqueezing wavelet transform. The instantaneous frequencies of a structure with time-varying damage are first extracted using the synchrosqueezing wavelet transform. Since the proposed synchrosqueezing wavelet transform is invertible, thus each individual component can be reconstructed and the modal participation factor ratio can be extracted based on the amplitude of the analytical signals of the reconstructed individual components. Then, the new time-varying damage index is defined based on the extracted instantaneous frequencies and modal participation factor ratio. Both free and forced vibrations of a classical Duffing nonlinear system and a simply supported beam structure with abrupt and linear time-varying damage are simulated. The proposed synchrosqueezing wavelet transform method can successfully extract the instantaneous frequencies of the damaged structures under free vibration or vibration due to earthquake excitation. The results also show that the defined time-varying damage index can effectively track structural time-varying damage.

w-변환의 s와 w영역간의 관계에 대한 유의 성질 (Some Remarks on the s-plane to w-plane Correlations of w-transform)

  • 김려화;김영철
    • 전기학회논문지
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    • 제61권1호
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    • pp.117-124
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    • 2012
  • In this paper, we present some remarks on the correlations between s and w domains when a discrete-time transfer function is converted from z-plane by using the w-transform. With time response specifications, when a digital filter or controller is designed in z-plane, the w-transform is useful for the purpose if only the w-transformed system closely approximates to the continuous-time system. It will be shown that the approximation is accomplished only in the specific region depending on sampling time. Also, it is noted that such an approximation should be carefully dealt with for the case where a discrete-time reference transfer function is synthesized for the use of direct digital design.

On the Detection of Induction-Motor Rotor Fault by the Combined “Time Synchronous Averaging-Discrete Wavelet Transform” Approach

  • Ngote, Nabil;Ouassaid, Mohammed;Guedira, Said;Cherkaoui, Mohamed
    • Journal of Electrical Engineering and Technology
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    • 제10권6호
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    • pp.2315-2325
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    • 2015
  • Induction motors are widely used in industrial processes since they offer a very high degree of reliability. But like any other machine, they are vulnerable to faults, which if left unmonitored, might lead to an unexpected interruption at the industrial plant. Therefore, the condition monitoring of the induction motors have been a challenging topic for many electrical machine researchers. Indeed, the effectiveness of the fault diagnosis and prognosis techniques depends very much on the quality of the fault features selection. However, in induction-motor drives, rotor defects are the most complex in terms of detection since they interact with the supply frequency within a restricted band around this frequency, especially in the no-loaded case. To overcome this drawback, this paper deals with an efficient and new method to diagnose the induction-motor rotor fault based on the digital implementation of the monitoring algorithm based on the association of the Time Synchronous Averaging technique and Discrete Wavelet Transform. Experimental results are presented in order to show the effectiveness of the proposed method. The obtained results are largely satisfactory, indicating a promising industrial application of the combined “Time Synchronous Averaging – Discrete Wavelet Transform” approach.