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Noise source localisaton in a car environment

Fazenda, Bruno, Gu, Fengshou, Ball, Andrew and Guan, Luyang (2009) Noise source localisaton in a car environment. In: 8th International Conference on Damage Assessment of Structures, 3-5 August 2009, Beijing, China. (Unpublished)

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Abstract

Spurious noise (rattles, squeaks, etc) in the interior of car cabinets can be annoying, distractive and
indicative of potential performance problems. Fault finding these problems can be difficult since the
fault is intermittent and may not necessarily happen under test conditions. A 3 channel system that
can record the fault and indicate its location within the cabinet is presented here. The system
consists of a coincident microphone array that measures acoustic particle velocity along two
orthogonal axes at its location. Detection and direction of noise can be obtained in real time or
during post-processing using advanced signal analysis methods. Measurements inside a vehicle
show that the very reflective nature of the sound-filed inside a car cabinet present a major challenge
and that a combination of advance techniques from diagnostics engineering and room acoustics are
required to reliably indicate the direction of the annoying sound.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
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
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
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Depositing User: Sara Taylor
Date Deposited: 17 Mar 2009 14:27
Last Modified: 14 Sep 2011 11:48
URI: http://eprints.hud.ac.uk/id/eprint/3659

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