Software Sensor for Airflow Modulation and Noise Detection by Cyclostationary Tools

Sensors

Anas Sakout¹  Kamel Abed Meraim¹  Laurent Rambault²  Erik Etien²  Sebastien Cauet²  Mohamad Alkoussa Dit Albacha²  Thierry Doget² 

[1] LaSIE Laboratory UMR CNRS 7356, 75016 la Rochelle, France;Laboratoire d’Informatique et Automatique des Systemes, University of Poitiers, 75016 Poitiers, France;

关键词: acoustic measurements;    fluid flow measurements;    turbulent machine;    cyclostationarity;    software sensor;   

DOI  :  10.3390/s20082414

来源: DOAJ

【 摘 要 】

The paper presents tools to model low speed airflow coming from a turbulent machine. This low speed flow have instabilities who generate noise disturbances in the environment. The aim of the study proposed in this paper, is the using of cyclostationary tools with audio signals to model this airflow and detect the noisy frequencies to eliminate this noise. This paper also deals with the extraction in real time of the frequency corresponding to the noise nuisance. This extraction makes it possible to build a software sensor. This software sensor can be used to estimate the air flow rate and also to control a future actuator which will reduce the intensity of the noise nuisance. This paper focuses on the characteristic of the sound signal (property of cyclostationarity) and on the development of a software sensor. The results are established using an experimental setup representative of the physical phenomenon to be characterised.

【 授权许可】

Unknown