scholarly journals Study on Active Noise Control in Three-dimensional Space for Engine noise

2000 ◽  
Vol 2000.10 (0) ◽  
pp. 53-56
Author(s):  
Akihiko ENAMITO ◽  
Masaaki HIRAYAMA ◽  
Kazumasa TAKEMURA ◽  
Masamichi IPPOMMATSU ◽  
Kazuo TANAKA
Keyword(s):  
Noise Control ◽  
Dimensional Space ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Engine Noise ◽  
Active Noise ◽  
Three Dimensional Space

Experiments on optimization of active noise control on a three‐dimensional extended radiator

1990 ◽  
Vol 87 (S1) ◽  
pp. S62-S62
Author(s):  
Jeffery A. Giordano ◽  
Kenneth A. Cunefare ◽  
Gary Koopmann
Keyword(s):  
Noise Control ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Active Noise

A Review of Active Noise Control Applications on Noise Barrier in Three-Dimensional/Open Space: Myths and Challenges

2019 ◽  
Vol 18 (04) ◽  
pp. 1930002 ◽  
Author(s):  
Hsiao Mun Lee ◽  
Zhaomeng Wang ◽  
Kian Meng Lim ◽  
Heow Pueh Lee
Keyword(s):  
Open Space ◽  
Noise Control ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Construction Site ◽  
Noise Sources ◽  
Current State ◽  
Active Noise ◽  
Noise Barrier ◽  
Passive Noise

Active noise control (ANC), with counteracting sound in exact equal magnitude and opposite phase to the noise to be controlled, is often considered as a potential solution for solving complex noise problems. However, there are both myths and challenges in its implementations. In a crowded city like Singapore, many noise sources from construction site and subway track are located very close to the residential and commercial buildings. It was suggested by few researchers that by placing suitable control speakers at the construction site (working principle of ANC), the noise from the construction site could be prevented from propagating to the surrounding buildings. Similarly, for viaduct or subway track, by placing control speakers along the viaduct or track, the noise generated by the passing trains or vehicles could be reduced based on the principle of ANC technique. However, implementation of ANC technique on these noise issues is not easy as all of these noise control problems involve multiple noise sources with complex or transient frequency spectrum in large three-dimensional/open space. Therefore, the main intention of the present paper is to discuss the current state of the art of this topic as well as to examine the potential application and limitation of the ANC technique in mitigating unwanted noise, particularly in large three-dimensional/open space and with cooperation of passive noise barrier.

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

Active Noise Control Using Multi-Layered Perceptron Neural Networks

1997 ◽  
Vol 16 (2) ◽  
pp. 109-144 ◽  
Author(s):  
M.O. Tokhi ◽  
R. Wood
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Architecture ◽  
Noise Control ◽  
Learning Algorithm ◽  
Free Field ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Broadband Noise ◽  
Active Noise

This paper presents the development of a neuro-adaptive active noise control (ANC) system. Multi-layered perceptron neural networks with a backpropagation learning algorithm are considered in both the modelling and control contexts. The capabilities of the neural network in modelling dynamical systems are investigated. A feedforward ANC structure is considered for optimum cancellation of broadband noise in a three-dimensional propagation medium. An on-line adaptation and training mechanism allowing a neural network architecture to characterise the optimal controller within the ANC system is developed. The neuro-adaptive ANC algorithm thus developed is implemented within a free-field environment and simulation results verifying its performance are presented and discussed.

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