• 제목/요약/키워드: Time Domain Acoustic Holography

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단계적 측정법에 의한 시간 영역 음향 홀로그래피 (Time Domain Acoustic Holography by Step-by-step Measurement)

  • 윤호성;남경욱;김양한
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 춘계학술대회논문집
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    • pp.635-639
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    • 2003
  • When we carry out acoustic holography, step-by-step measurement provides us larger aperture size with same number of microphones. But when we carry out step-by-step measurement, it is blown that sound signal must be stationary. However, when transfer function between input and output signal is time-invariant, we can apply step-by-step measurement to acoustic holography even if sound signal is transient We have to do only some Processing on signals from step-by-step measurements to make the signal data of each step compatiable with other steps. This paper accounts for that processing method.

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공간 포락을 적용한 시간 영역 음장 가시화 (Sound visualization in time domain by using spatial envelope)

  • 박춘수;김양한
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 추계학술대회논문집
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    • pp.33-36
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    • 2007
  • Acoustic holography exhibits the spatial distribution of sound pressure in time or frequency domain. The obtained picture often contains far more than what we need in practice. For example, when we need to know only the locations and overall propagation pattern of sound sources, a method to show only what we need has to be introduced. One way of obtaining the necessary information is to use envelope in space. The spatial envelope is a spatially slowly-varying amplitude of acoustic waves which contains the information of sources' location. A spatial modulation method has been theoretically developed to get a spatial envelope. By applying the spatial envelope, not only the necessary information is obtained but also computation time is reduced during the process of holography. The spatial envelope is verified as an effective visualization scheme in time domain by being applied to complicated sound fields.

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음장의 공간 복소 포락: 정의와 특성 (Spatial Complex Envelope of Acoustic Field : Its Definition and Characteristics)

  • 박춘수;김양한
    • 한국소음진동공학회논문집
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    • 제17권8호
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    • pp.693-700
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    • 2007
  • We can predict spatial acoustic pressure distribution on the plane of interest by using acoustic holography. However, the information embedded in the distribution plot is usually much more than what we need: for example, source locations and their overall propagation pattern. One possible candidate to solve the problem is complex envelope analysis. Complex envelope analysis extracts slowly-varying envelope signal from a band signal. We have attempted to extend this method to space domain so that we can have spatial information that we need. We have to modulate two dimensional data for obtaining spatial envelope. Although spatial modulation basically follows the same concept that is used in time domain, the algorithm for the spatial modulation turns out to be different from temporal modulation. We briefly describe temporal complex envelope analysis and extend it to spatial envelope of 2-D acoustic field by introducing geometric transformation. In the end, the results of applying the spatial envelope to the holography are envisaged and verified.

공간 포락을 적용한 시간 영역 음장 가시화 (Sound Visualization in Time Domain by Using Spatial Envelope)

  • 박춘수;김양한
    • 한국소음진동공학회논문집
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    • 제18권1호
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    • pp.20-25
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    • 2008
  • 음향홀로그래피는 시간 영역 혹은 주파수 영역에서 음압의 공간 분포를 가시화하는 방법이다. 그러나, 재구성된 음압은 종종 실제적으로 우리가 원하는 음장의 정보보다 훨씬 많은 정보를 가지고 있다. 예를 들어, 우리가 소음 제어를 위해 필요로 하는 정보는 소음원의 위치와 전체적인 방사형태의 정보만으로 충분하다. 따라서, 이렇게 필요로 하는 정보만을 보여줄 수 있는 방법이 필요하다 볼 수 있다. 이를 위한 한 가지 방법으로 공간에서의 포락을 생각할 수 있다. 공간복소포락은 소음원의 위치와 느리게 변하는 전체적인 변화에 대한 정보를 가지고 있는 포락 신호를 의미한다. 공간복소포락을 이용함으로써, 우리는 음장에서 불필요한 정보를 제거하여 필요한 정보를 얻을 수 있을 뿐만 아니라, 가시화 과정에서의 연산 시간도 줄일 수 있다. 이 공간포락을 얻기 위한 공간변조 방법을 이론적으로 유도하고 제안한다. 그리고, 여러 개의 단극음원에 의해 형성되는 복잡한 음장을 제안하는 방법을 이용해 단순화시킨 결과를 통해 제안하는 방법에 대한 타당성을 검증한다.

음장의 복소 포락과 응용 (Complex envelope of sound field and its application)

  • 박춘수;김양한
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 추계학술대회논문집
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    • pp.502-505
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    • 2006
  • Acoustic holography allows us to predict spatial pressure distribution on any surface of interest from measured hologram. It is noteworthy that the data size is so huge that it takes long time to calculate pressure field. Moreover the reconstructed pressure field is frequently too complicated to get what we want to know. One possible candidate is complex envelope. Complex envelope in time domain is well known and widely used in various engineering field. We have attempted to extend this method to space domain, so that we can have rather simple spatial pressure picture that provides information we need, for example, where sound sources are. First we start with the simplest case. We examine the complex envelope of a plane wave on both space and wave number domain. Then we extend to monopole case. Holographic reconstructed sound field on the monopole is processed according to what we propose. We demonstrate how this method provides better picture for analyzing the sound field.

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마이크로폰 어레이를 이용하여 차량 하부에서 발생한 결함의 위치를 찾아내는 방법 (A method to find the position of fault in a moving vehicle using microphone arrays)

  • 김양한;전종훈
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2006년도 추계학술대회 논문집
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    • pp.144-151
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    • 2006
  • Sound generated from a moving vehicle often carries information on the condition of vehicle, for example, whether it has faults or not, where the fault exists. The latter is possible especially by MFAH(moving frame acoustic holography) and beamforming method. MFAH is applicable to the sound source of pure tone or narrow band noise. For the beamforming method, we have to know what kind of wave the sound source radiates, for example, plane wave or spherical wave. That is, whether the above methods are applicable depends on the characteristics of sound source. To apply these methods to the fault detection, we have to know the characteristics of wave from faults. In this research, a machine diagnosis technique based on the above holographic approaches is introduced to find the position of faults. The signal due to faults is modeled based on the fact that the faults radiate impulsive noise, and analyzed in time and frequency domain. The way how MFAH and beamforming method can be used is introduced to find the position of source.

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