Active noise control applied to a gas compression station

Abstract

Based on the concept of active noise control, which uses the destructive superposition of signals to cancel unwanted noise, this work presents the computer simulation of a system for noise suppression in an industrial environment, taking measurements as a starting point in a Gas Compression Station. The algorithm implemented for noise reduction is based on the theory of adaptive filters, applying filters with variable coefficients adapted by a specific algorithm, in order to obtain an adequate response. The method is explored in order to verify its effectiveness in attenuating specific noises, characteristic of the environment under analysis, aiming to allow communication between people in environments with high noise levels. The analyzed signals were acquired in the field to better represent the results. The results achieved prove the possibility of applying the proposed technique for noise suppression, although they highlight the difficulty in effectively filtering the voice signals in the studied environment.