Comprehensive Array Measurements of In-Car Sound Field in Magnitude and Phase for Active Sound Generation and Noise Control

2014 ◽  
Vol 7 (2) ◽  
pp. 596-602 ◽  
Author(s):  
Matthias Frank ◽  
Franz Zotter ◽  
Alois Sontacchi ◽  
Stephan Brandl ◽  
Christian Kranzler
Keyword(s):  
Noise Control ◽  
Sound Field ◽  
Sound Generation ◽  
Array Measurements

Active noise control in a pure tone diffuse sound field using virtual sensing

2009 ◽  
Vol 125 (6) ◽  
pp. 3742-3755 ◽  
Author(s):  
D. J. Moreau ◽  
J. Ghan ◽  
B. S. Cazzolato ◽  
A. C. Zander
Keyword(s):  
Pure Tone ◽  
Noise Control ◽  
Active Noise Control ◽  
Sound Field ◽  
Active Noise ◽  
Virtual Sensing

scholarly journals Directional Active Noise Control with a Local Minimax Error Criterion

2019 ◽  
Vol 9 (19) ◽  
pp. 4065
Author(s):  
Kexun Chi ◽  
Ming Wu ◽  
Rong Han ◽  
Chen Gong ◽  
Jun Yang
Keyword(s):  
Noise Control ◽  
Mean Squared Error ◽  
Active Noise Control ◽  
Quadratic Function ◽  
Sound Field ◽  
Control Area ◽  
Error Criterion ◽  
Active Noise ◽  
Directional Control ◽  
Nelder Mead Algorithm

The traditional mean squared error (MSE) criterion can be formulated as a quadratic function of a vector of control filter coefficients, and it is easy to obtain optimal control filter coefficients. Although the MSE criterion can lead to noise reductions in the control area, an unpredictable directional residual sound field is generated. In this paper, we propose a method for multi-channel active harmonic noise control with a local minimax error criterion based on the Nelder–Mead algorithm, which leads to reductions at all error positions and greater reductions at controllable positions. Directional noise reduction experiments of two areas are presented for two different error criteria at discrete locations in an anechoic chamber. Compared with a system employing the traditional MSE criterion, the results show that an active noise control system with the proposed criterion can achieve extra reductions at specified locations and overall noise reductions at the same time. The present research offers some important insights into directional control.

Study on Acoustic Model of Transformer

2014 ◽  
Vol 1008-1009 ◽  
pp. 571-575
Author(s):  
Jing Zhu Hu ◽  
Di Chen Liu ◽  
Qing Fen Liao ◽  
Su Wei ◽  
Lei Yu
Keyword(s):  
Noise Level ◽  
Noise Control ◽  
Noise Source ◽  
Sound Field ◽  
Point Sources ◽  
Equivalent Model ◽  
Noise Prediction ◽  
Acoustic Model ◽  
Plane Source ◽  
Equivalent Source

The model of transformer as a noise source is very critical for substation noise prediction. The transformer is equivalent to several point sources on the basis of regarding the transformer as a combination of several planar sources. This equivalent model is based on equivalent source method and it is convenient and easy. The model of 9 equivalent point sources is simulated to verify that the rebuilt sound field is roughly the same as the actual sound field generated by the plane source. Moreover, the accuracy of the model with different settings was discussed. The acoustic model is accurate and feasible to calculate the noise level radiated by transformer and it is meaningful for substation noise control.

103 2-channel active noise control in three dimensional sound field

2006 ◽  
Vol 2006 (0) ◽  
pp. 5-6
Author(s):  
Toshihiko Higashi ◽  
Shinya Kijimoto ◽  
Yoichi Kanemitu ◽  
Koichi Matuda ◽  
Ikuma Ikeda ◽  
...  
Keyword(s):  
Noise Control ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Sound Field ◽  
Active Noise

I24 2-channel active noise control in three dimensional sound field

2006 ◽  
Vol 2006.59 (0) ◽  
pp. 251-252
Author(s):  
Toshihiko Higashi ◽  
Yoichi Kanemitu ◽  
Shinya Kijimoto ◽  
Koichi Matuda
Keyword(s):  
Noise Control ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Sound Field ◽  
Active Noise

KTX Interior-Noise Reduction Performance Comparison Using Multichannel Active-Noise Control

2012 ◽  
Vol 152-154 ◽  
pp. 1891-1898
Author(s):  
Hyeon Seok Jang ◽  
Young Min Kim ◽  
Saehan Kim ◽  
Taeoh Lee ◽  
Kwon Soon Lee
Keyword(s):  
Noise Reduction ◽  
High Speed ◽  
Noise Control ◽  
Active Noise Control ◽  
Sound Field ◽  
Performance Comparison ◽  
High Speed Rail ◽  
Active Noise ◽  
Tunnel Section ◽  
Fxlms Algorithm

In many countries, the use of the KTX high-speed rail has been generalized of late. Therefore, its customers who initially pursued only convenience and speed have begun pursuing quality services such as comfort and stability. Thus, the importance of reducing the noise in the high-speed rail is increasing. The active noise is best choice to reduce noise because of being able to actively reduce the ambient noise coming from the environmental-factor changes. But it’s too hard in a three-dimensional closed-space sound field such as the interior of a high-speed rail. In this study, we used multichannel(2x2) FXLMS algorithm for applying ANC system in KTX. In detail, after measuring the noise inside KTX during its runs in South Korea, multichannel active noise control was simulated to determine the extent to which it can reduce the noise inside KTX. Simulation was done using a multichannel FXLMS algorithm for reducing the actual noise inside KTX and the noise reduction in the open-space section of KTX was compared with that in the tunnel section, and the active-noise-control performances in the low-frequency (below 500 Hz) region were compared.

scholarly journals Modeling transient vibration-sound generation processes

2020 ◽  
pp. 39-42
Author(s):  
Petro Volodymyrovich Lukianov
Keyword(s):  
Comparative Analysis ◽  
Mach Number ◽  
Sound Field ◽  
Numerical Results ◽  
Sound Generation ◽  
Transient Vibration ◽  
Helicopter Landing ◽  
Blade Flutter ◽  
Sinusoidal Shape ◽  
Transitional Mode

In this paper, a problem of sound generation of two-blade rotor sinusoidal shape during helicopter landing is solved. Near and far sound field characteristics have been calculated. A comparative analysis of obtained numerical results with results for Mach number 0.2<M<0.4 is given. In particular noticed, that for a low Mach’s number M<0.1 transitional mode can occurs, which produces a blade flutter as a result.

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