scholarly journals The passive and active noise control strategy in the aircraft interior noise

1994 ◽  
Vol 04 (C5) ◽  
pp. C5-51-C5-53
Author(s):  
A. PAONESSA
AIP Advances ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 085010
Author(s):  
Chang Liu ◽  
Hongfa Ding ◽  
Xiao Fang ◽  
Zhou He ◽  
Zhixun Wang

Author(s):  
In Hyung Yang ◽  
O. Cheol Kwon ◽  
Jung Youn Lee ◽  
Jae-Eung Oh

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 low-frequency bandwidth. Primary noise of the HVAC system is less than 500Hz. As a result of ANC application, sound quality is improved by more quiet, powerful, expensive, smooth.


2021 ◽  
Vol 11 (21) ◽  
pp. 10011
Author(s):  
Yuwei Feng ◽  
Xiaolin Wang ◽  
Xiaoyan Cui ◽  
Ming Wu ◽  
Jun Yang

Active noise control can be used to reduce the scattered sound of a reflecting object to make it invisible to incident acoustic waves. For the multi-zone active noise control of scattered sound from an infinite rigid cylinder, an active control strategy is proposed that combines the least absolute shrinkage and selection operator (LASSO) algorithm with constraint points and regularized least squares (RLS) algorithm. The proposed control strategy is used to promote control performance through optimizing the secondary loudspeaker placement of an active noise control system. Compared with the RLS algorithm employing the uniformly placed loudspeakers and the traditional LASSO algorithm, the proposed strategy has better reduction performance both in the forward-scattered and backward-scattered sound target areas, and there is less sound amplification in the far field. From 400 Hz–1100 Hz, the proposed strategy provides a 5 dB–16 dB reduction performance advantage in the target area compared to the RLS algorithm employing uniformly placed loudspeakers.


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