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- 저자 : 황동건(Dong-Kun Hwang) (검색결과 2 건)
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황동건(Dong-Kun Hwang),심현진(Hyoun-Jin Sim),이정윤(Jung-Youn Lee),오재응(Jae-Eung Oh),유동호(Dong-Ho Yoo) 대한기계학회 2005 대한기계학회 춘추학술대회 Vol.2005 No.5
The reduction of the Vehicle interior noise has been the main interest of NVH engineers. The driver’s perception on the vehicle noise is affected largely by psychoacoustic characteristic of the noise as well as the SPL. In particular, the HVAC sound among the vehicle interior noise has been reflected sensitively in the side of psychology. In previous study, we have developed to verify identification of source for the vehicle HVAC system through multiple-dimensional spectral analysis. Also we carried out objective assessments on the vehicle HVAC noises and subjective assessments have been already performed with 30 subjects. In this study, the linear regression models were obtained for the subjective evaluation and the sound quality metrics. The regression procedure also allows you to produce diagnostic statistics to evaluate the regression estimates including appropriation and accuracy. Appropriation of regression model is necessary to R² value and F-value. And testing for regression model is necessary to Independence, Homoscedesticity and Normality. To enhance sound quality, we applied active noise control (ANC) which is effective in the lowfrequency bandwidth. Primary noise of the HVAC system is less than 500㎐. As a result of ANC application, sound quality is improved by more quiet, powerful, expensive, smooth.
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김성수(Sung-Soo Kim),유동호(Dong-Ho Yoo),황동건(Dong-Kun Hwang),오재응(Jae-Eung Oh) 한국자동차공학회 2005 한국자동차공학회 춘 추계 학술대회 논문집 Vol.2005 No.11_2
Noise from an automotive Heating, Ventilating, and Air Conditioning (HVAC) system is one of the major considerations for the occupant's comfort. In this study, activities of sound source identification and Sound Quality (SQ) evaluation are performed. The major source of noise is investigated by structural vibration survey tests and sound intensity measurements. The SQ is evaluated by both objective and subjective approach using the Semantic Differential Method (SDM). Correlations between objective indices and measured subjective responses are analyzed and [he estimation models are suggested to predict subjective feelings. The validation results of the suggested models show that estimation models have good agreement with measured subjective responses.
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