scholarly journals A study on Active Noise Control for Minimizing Total Acoustic Power (Proposal of Sound Pressure Attenuation Method for Noise Radiated from Large Duct Opening and Application to The Large Duct System of Transformer)

2003 ◽  
Vol 69 (686) ◽  
pp. 2541-2549 ◽  
Author(s):  
Akihiko ENAMITO ◽  
Nobuo TANAKA ◽  
Toshikazu NAGATA ◽  
Rika HOSAKA ◽  
Tsutomu SHIOYAMA ◽  
...  
Keyword(s):  
Sound Pressure ◽  
Noise Control ◽  
Active Noise Control ◽  
Acoustic Power ◽  
Duct System ◽  
Active Noise ◽  
Duct Opening

Acoustic Power decrement by Active Noise Control

2002 ◽  
Vol 2002.39 (0) ◽  
pp. 183-184
Author(s):  
Mitsuhiro FUJITA ◽  
Toshihiko KOMATSUZAKI ◽  
Hidenori SATO ◽  
Yoshio IWATA
Keyword(s):  
Noise Control ◽  
Active Noise Control ◽  
Acoustic Power ◽  
Active Noise

Active noise control system in a fire helmet – a proposal of the solution

2018 ◽  
Vol 558 (3) ◽  
pp. 11-15
Author(s):  
Leszek Morzyński ◽  
Grzegorz Szczepański
Keyword(s):  
Control System ◽  
Sound Pressure Level ◽  
Sound Pressure ◽  
Noise Control ◽  
Active Noise Control ◽  
Warning Signal ◽  
Verbal Communication ◽  
Pressure Level ◽  
Emergency Vehicle ◽  
Active Noise

An auditory warning signal emitted by a moving emergency vehicle is intended to inform other road users about an approaching emergency vehicle and the need to give way to it. Emission of a warning signal with the highest possible sound pressure level is the main method of ensuring the audibility and recognition of the warning signal by traffic participants at unknown and varying traffic noise, acoustic insulation of vehicles and noise in the interior of the vehicle. The A-weighted sound pressure level of the auditory warning signal reaching the interior of an emergency vehicle may exceed 90 dB, which can be harmful to the hearing, can adversely affect psychophysical fitness of the crew members and can significantly hinder verbal communication in the vehicle. This article presents the concept and results of numerical simulations of an active noise control system in fire helmets, which will reduce the exposure of the crew to the warning signal and improve the quality of verbal communication in an emergency vehicle. This system is integrated with the signal generation system. The Notch algorithm and the NLMS adaptation algorithm were used in the system's control algorithm. The construction of the controller was based on a microcontroller from the STM32F4 family.

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