Using a Planar Array of MEMS Microphones to Obtain Acoustic Images of a Fan Matrix-Reference-Cited by-同舟云学术

Using a Planar Array of MEMS Microphones to Obtain Acoustic Images of a Fan Matrix

Published:2017 Issue: Volume:2017 Page:1-10
ISSN:1687-725X
Container-title:Journal of Sensors
language:en
Short-container-title:Journal of Sensors

Author:

del Val Lara¹^ORCID,Izquierdo Alberto²^ORCID,Villacorta Juan José²^ORCID,Suárez Luis³

Affiliation:

1. Mechanical Engineering Area, Industrial Engineering School, University of Valladolid, Valladolid, Spain

2. Signal Theory and Communications Department, University of Valladolid, Valladolid, Spain

3. Civil Engineering Department, Superior Technical College, University of Burgos, Burgos, Spain

Abstract

This paper proposes the use of a signal acquisition and processing system based on an8×8planar array of MEMS (Microelectromechanical Systems) microphones to obtain acoustic images of a fan matrix. A3×3matrix of PC fans has been implemented to perform the study. Some tests to obtain the acoustic images of the individual fans and of the whole matrix have been defined and have been carried out inside an anechoic chamber. The nonstationary signals received by each MEMS microphone and their corresponding spectra have been analyzed, as well as the corresponding acoustic images. The analysis of the acoustic signals spectra reveals the resonance frequency of the individual fans. The obtained results reveal the feasibility of the proposed system to obtained acoustic images of a fan matrix and of its individual fans, in this last case, in order to estimate the real position of the fan inside the matrix.

Funder

Ministerio de Economía y Competitividad

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

Link

http://downloads.hindawi.com/journals/js/2017/3209142.pdf

Reference32 articles.

1. Beamforming: a versatile approach to spatial filtering

2. Optimisation of sensor positions in random linear arrays based on statistical relations between geometry and performance

3. A Configurable Sensor Network Applied to Ambient Assisted Living

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