• 제목/요약/키워드: 다차원 해석법

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다차원 스펙트럼 해석법을 이용한 PDP TV의 저소음화 (Noise Reduction of PDP TV Using Multi-dimensional Spectral Analysis Method)

  • 양인형;정재은;곽형택;오재응
    • 한국소음진동공학회논문집
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    • 제21권1호
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    • pp.81-88
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    • 2011
  • The method is introduced for estimating the noise source contribution on the noise of PDP TV in a multiple-input system where the input sources may be coherent with each other. By the coherence function method, it is found that the biggest part of the noise source in the PDP TV noise is generated by the PCB boards which consume high power and produce high heat. This analysis is modeled as three-input/single-output system because the noise is generated by three main boards, X-board, Y-board, SMPS that are located close to each other. The coherence function method is proved to be useful tool for identifying of noise source. In this study, Transfer Path Analysis using MDSA is implemented to determine the quantitative noise contribution of each board for PDP TV with the rear case closed and with the rear case open. And the possibility of noise reduction is confirmed through the experimental method that isolates the most contributing board by adding sound-absorbing materials to it.

다차원 스펙트럼 해석법을 이용한 로드노이즈의 전달경로 해석 및 실내음압 예측 (Transfer Path Analysis and Interior Noise Estimation of the Road Noise Using Multi-Dimensional Spectral Analysis Method)

  • 박상길;강귀현;황성욱;오기석;노국희;오재응
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.779-784
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    • 2008
  • This paper presents a the method for estimating the noise source contribution on the road noise of the vehicle in a multiple input system where the input sources may be coherent with each other. By coherence function method, it is found that the biggest part of the noise source in the road noise is generated by structural vibration on the mechanical-acoustic transfer functions of vehicles. This analysis is modeled as four input/single output system because the noise is generated with four wheels that mechanism of the road noise is very complicated. The coherence function method is proved to be useful tool for identifying of noise source. The overall levels of the interior noise be coherence function method are compared with those measured and calculated by the frequency response function approach using mechanical excitation test. The experimental results have shown a good agreement with the results calculated by the coherence function method when the input sources are coherent strongly each other. The estimation of the road noise indicates that significant coherent can be achieved in the vehicle interior noise.

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다차원 스펙트럼 해석법을 이용한 로드노이즈의 전달경로 해석 및 실내음압 예측 (Transfer Path Analysis and Interior Noise Estimation of the Road Noise Using Multi-dimensional Spectral Analysis Method)

  • 박상길;강귀현;황성욱;오기석;노국희;오재응
    • 한국소음진동공학회논문집
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    • 제18권11호
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    • pp.1206-1212
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    • 2008
  • This paper presents a the method for estimating the noise source contribution on the road noise of the vehicle in a multiple input system where the input sources may be coherent with each other. By coherence function method, it is found that the biggest part of the noise source in the road noise is generated by structural vibration on the mechanical-acoustic transfer functions of vehicles. This analysis is modeled as four input/single output system because the noise is generated with four wheels that mechanism of the road noise is very complicated. The coherence function method is proved to be useful tool for identifying of noise source. The overall levels of the interior noise be coherence function method are compared with those measured and calculated by the frequency response function approach using mechanical excitation test. The experimental results have shown a good agreement with the results calculated by the coherence function method when the input sources are coherent strongly each other. The estimation of the road noise indicates that significant coherent can be achieved in the vehicle interior noise.

다차원 압밀해석을 위한 한계상태이른의 적용 (Application of the Critical State Theory to Multi-Dimensional Consolidation Analysis)

  • 정진섭
    • 한국지반공학회지:지반
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    • 제3권4호
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    • pp.7-20
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    • 1987
  • 연약지반의 다차원 압밀해석을 유한요소법으로 해석하기 위하여 점토의 구성방정식으로서 신생퇴적 점토층에서 압밀시에 예상되는 creep와 같은 변형의 시간의존성거동을 표친하는 탄 점소성 구성방정식을 새로히 제안하기 위하여 한계상태 개념으로부터 개발된 수정 cam clay 모델을 보완하여 음력변형해석을 통하여 실측치와 비교한 것이다. 그 결과 대체적으로 실측치와 접근하고 있음을 알 수 있었다.

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다차원 스펙트럼 해석법을 이용한 비정상 소음.진동 신호의 소음원 규명 (Source Identification of Non-Stationary Sound.Vibration Signals Using Multi-Dimensional Spectral Analysis Method)

  • 심현진;이해진;이유엽;이정윤;오재응
    • 대한기계학회논문집A
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    • 제30권9호
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    • pp.1154-1159
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    • 2006
  • In this paper, time-frequency analysis and multi-dimensional spectral analysis methods are applied to source identification and diagnostic of non-stationary sound vibration signals. By checking the coherences for concerned time, this simulation is very well coincident to expected results. The proposed method analyzes the signal instantaneously in both time and frequency domains. The MDSA (Multiple Dimensional Spectral Analysis) analyzes the signal in the plane of instantaneous time and instantaneous frequency at the same time. And it was verified by using the 1500cc passenger car which is accelerated from 70Hz to 95Hz in 4 seconds, the proposed method is effective in determining the vehicle diagnostic problems.

다차원 스펙트럼 해석법을 이용한 진공청소기 출력소음의 전달경로 해석 (Transfer Path Analysis of Output Noise Using Multi-dimensional Spectral Analysis Method for Vacuum Cleaner)

  • 정재은;이정환;정창욱;황근배;오재응
    • 한국소음진동공학회논문집
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    • 제20권10호
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    • pp.940-945
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    • 2010
  • Noise reduction of vacuum cleaner is important, according as get into standard that estimate quality of product. To reduce noise of vacuum cleaner, we need analysis of correct noise source and contribution grasping about Identified noise sources' output noise. Because noise sources' correlation exists in vacuum cleaner that is small and complicated system, analysis is not easy. In this case, we need to apply Multi-dimensional spectral analysis(MDSA) method that can remove correlation between noise sources and grasp pure contribution degree of noise sources. In this study, we take transfer path analysis between output noise and noise that measured in inside/outside of vacuum cleaner.

다차원 스펙트럼 해석법을 이용한 탈수시 드럼세탁기의 소음 기여도 분석 (The Analysis of Noise contribution about Drum Washer under dehydrating condition using Multi-Dimensional Spectral Analysis)

  • 김호산;박상길;강동우;정보선;이유엽;오재응
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 추계학술대회논문집
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    • pp.75-81
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    • 2006
  • Recently, customers interest about noise of household electric appliance is growing. so, designer of product must study to reduce noise of product. Specially, in case of household electric appliance such as washing machine, there was consumers' complaint about noise that is radiated under dehydrating condition. But, in the case of washing machine, identification of noise source is not easy when washing machine is under dehydrating condition. Because various noise source influence each other, it is difficult to find out pure contribution degree about output noise. Multi-Dimensional Spectral Analysis(MDSA) is method that can remove correlation between inputs each other and express pure contribution degree about output of single input. So in this study, we analyzed contribution of each noise source on transfer pass of noise that is radiated at dehydration of washing machine using MDSA.

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다차원 스펙트럼 해석법을 이용한 탈수 시 드럼세탁기의 소음 기여도 분석 (The Analysis of Noise Contribution about Drum Washer under Dehydrating Condition Using Multi-dimensional Spectral Analysis)

  • 김호산;박상길;강귀현;이정윤;오재응
    • 한국소음진동공학회논문집
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    • 제17권11호
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    • pp.1056-1063
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    • 2007
  • Recently, there has been a growing consumer interest in the amount of noise produced by household electrical appliances. The designer of the product must identify the source of the noise, in order to reduce the noise. In the case of a household electric appliance such as the washing machine, there is consumer's complaint about the noise that is generated during the dehydrating condition. Because of several noise sources combined each other. It is difficult to identify the noise sources that contribute to the noise output. Multi-Dimensional Spectral Analysis (MDSA) is a method that can remove the correlation between different noise sources, and it expresses the key contributing factor as a unique output. This study utilized MDSA to analyze the contribution of each input in the noise output during the dehydrating condition.

다차원 해석법을 이용한 편심 회전체의 전달 기여도 평가 (The evaluation of vibration contribution about the eccentric rotor system by multiple dimensional spectral analysis)

  • 조문갑;조용구;김동원;이정윤;오재응
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 추계학술대회논문집
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    • pp.298-303
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    • 2003
  • The eccentric rotor system has various problems by vibration of unbalance mass. Specially, it is difficult to analyze vibration problem for the drum washing machine due to correlation of transmission paths. We analyze the mechanical structure by multidimensional spectral density to identify the maximum vibration magnitude at the frequency domain. It estimates the coherence function of the signals to pass the transmission paths. In case of the drum washing machine, because the transmission paths are correlated partially it needs to determinate the priority ranking. And the correlated parts are eliminated using conditioned spectral density function. Finally the shielding effect method confirms the reasonability of the modeling.

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