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The Study of Acoustic Source Localization using a Small Microphone Array for Condition Monitoring

Zhen, Dong, Gu, Fengshou and Ball, Andrew (2010) The Study of Acoustic Source Localization using a Small Microphone Array for Condition Monitoring. In: Future Technologies in Computing and Engineering: Proceedings of Computing and Engineering Annual Researchers' Conference 2010: CEARC’10. University of Huddersfield, Huddersfield, pp. 14-19. ISBN 9781862180932

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Abstract

The aim of this research is to investigate microphone array techniques based condition monitoring (CM). In this paper, a cost effective microphone array configured with 4-sensors and data acquisition systems is investigated theoretically and experimentally to evaluate its performance in characterising sound sources in different acoustic environments. Time delay estimation (TDE) is used as a basic tool for calculating the time delay of the sound source arrived at each of the 4-sensors and hence the
localization parameters of the sound source such as azimuth, elevation and distance can be
calculated from the TDE information. Results are presented for experimental studies both in a semianechoic chamber, an outdoor environment and an enclosure. Comparing the results obtained under
different conditions, it has confirmed that the microphone array system can catch the location of the main sound source and also has ability to track and give the azimuthal trajectory of a moving target with high degree of accuracy.

Item Type: Book Chapter
Uncontrolled Keywords: sound localization, microphone array, time delay estimation
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
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Depositing User: Sharon Beastall
Date Deposited: 12 Jan 2011 13:27
Last Modified: 20 Aug 2015 10:55
URI: http://eprints.hud.ac.uk/id/eprint/9308

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