• 대한기계학회논문집A
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• 제36권11호
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• pp.1371-1379
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• 2012

본 논문에서는 직접분사 가솔린엔진 부품에 의해서 발생하는 진동에 대한 기여도를 분석하는 방법을 제시한다. 본 연구에서는 부분기여도함수를 적용하여 부품 상호간의 관련성에 대한 진동원을 규명 하는데 사용하였다. 직접분사 가솔린 엔진 부품의 진동원을 규명하는데 부분기여도함수 방법을 사용하기 위해서는 시스템의 모델링이 필요하며 본 연구에서는 진동 발생 경로를 2 입력과 단일 출력계로 시스템을 모델링하였다. 이 모델링을 증명 하기 위해서, 직접분사가솔린 엔진의 진동원인 고압펌프, 연료레일, 인젝터, 고압센서에 3 축 가속도계 센서로 각 부품의 진동을 측정했다. 이 모델링을 바탕으로 각각의 진동원에 대한 부분기여도 함수를 구했으며, 직접분사 부품들의 각각의 진동 기여도를 계산하였다. 부분기여도 함수를 바탕으로 한 모델링을 통해 각 부품들에서 발생되는 진동 출력 기여 값을 정량적으로 도출하였다.

• 대한기계학회논문집
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• 제15권6호
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• pp.1819-1830
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• 1991

본 연구에서는 구조물이 순수한 선형계인 경우에 국한하여 선형 구조물의 여 러지점에서 측정한 신호들을 기존의 방법과 같이 다중입력으로 간주하고 선형 구조물 로부터 방사된 소음, 즉 관측자의 위치에서 측정한 신호를 출력으로 가정한 두 부분 기여도 함수를 적용하여 소음/진동원을 규명하였을 때 발생하는 결과를 이론적으로 해 석하여 보았다.

• 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.

• 한국소음진동공학회논문집
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• 제17권8호
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• pp.741-746
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• 2007

In this study, transfer path identification and output estimation are simulated by multi-dimension spectral analysis method (MDSA). Multi -input/single-output system give expression the vehicle suspension which each inputs are correlated reciprocally. In case of correlating with inputs, the system needs separating the each input signal by MDSA. Main simulations are about finding effective input by coherent output spectrum and selecting optimal input's number by multiple coherence function. Also, by shielding transfer path of each input, transfer path characteristic is identified in terms of overall integrated contribution level.

• 한국음향학회지
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• 제4권3호
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• pp.21-32
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• 1985

서로 상관관계가 있는 다입력원 진동계의 진동원을 규명하기 위한 방법을 제안하였다. 다차원 스펙트럼 해석을 이용함으로써 지하철 진동의 가장 중요한 진동원을 발견하였다. 이 분석은 진동의 전 달경로가 매우 복잡할 때 다입력-단일출력으로 모델화 하여 분석하는 방법이다. 또한 레지듀 스펙트럼 분석과 부분기여함수의 개념을 적용하여 지하철 진동이 콘크리트 구조물의 진동에 미치는 영향을 마이 크로 컴퓨터로 계산하였다. 이러한 연구의 결과로 지하철 진동의 다차원 스펙트럼의 오버올레벨을 측정 치와 비교하였다.

• 대한기계학회논문집A
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• 제21권7호
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• pp.1127-1140
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• 1997

With the study for identifying the transmission characteristics of vibration and noise generated by operating engine system of a vehicle, recently many engineers have studied actively the reduction of vibration and noise inducing uncomfortableness to the passenger. In this study, output noise was analyzed by multi-dimensional spectral analysis and vector synthesis method. The multi-dimensional analysis method is very effective in case of identification of primary source, but this method has little effect on suggestion for interior noised reduction. For compensation of this, vector synthesis method was used to obtain effective method for interior noise reduction, after identifying primary source for output noise. In this paper, partial coherence function of each input was calculated to know which input was most coherent to output noise, then with simulation of changes for input magnitude and phase by vector synthesis diagram, the trends of synthesized output vector was obtained. As a result, the change of synthesized output vector could be estimated.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 춘계학술대회논문집
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• pp.127-133
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• 2002

After the vibration source is searched in optical disk drive as an information storage device broadly used the influence of it against FES(Focusing Error Signal) which is a kind of positioning error of pick up from the circuit is carefully examined. For that Purpose, partial coherence function method is applied on a simple multi-degree of freedom model made for the theoretical verification and it is practically introduced in optical disk drive for analyzing the effect of vibration source. Finally, partial coherence output spectrum is attentively observed in order to know which vibration source is a great influence on FES.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 추계학술대회논문집
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• pp.189-195
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• 2003

This paper represents an identification procedure for leading mechanism of a car A/V system which is composed of a DC motor and a set of plastic gears. In addition, we studied dominant noise source of rattle noise generated by external forced vibration as a car drives. we made a dynamometer to produce stationary operation on loading mechanism of A/V system because noise generated by actual loading mechanism is non-stationary signal. operating the dynamometer setup at various motor speeds, sound pressure spectra are measured and the results are analyzed. its dominant noise source is also identified by using a sound Intensity technique. we made use of multi-dimensional spectral analysis to rind a dominant rattle noise. this method is so useful to eliminate coherence between vibration sources and helps us obtain coherent output spectrum of individual vibration source which make a rattle noise.

• 한국소음진동공학회논문집
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• 제14권10호
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• pp.930-938
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• 2004

This paper presents the noise source identification of a car A/V system. There are two different kinds of noise sources noise generated by loading mechanism and rattle noise by externally forced vibration. A dynamometer has been made to produce stationary inertia to the loading mechanism of A/V system. Sound pressure spectra and sound intensity were measured by operating the dynamometer setup as various motor speeds, and the results were analyzed. A dominant rattle noise source about A/V system's components has been found by multi-dimensional spectral analysis. Residual spectrum method was applied for eliminating coherence between the vibration sources. In result, the dominant rattle noise source was identified by partial coherent output spectrum of individual vibration component.