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Access Type

WSU Access

Date of Award

January 2023

Degree Type

Thesis

Degree Name

M.S.

Department

Mechanical Engineering

First Advisor

Sean F. Wu

Second Advisor

Yang Zhao

Abstract

Often a sound source is blocked or enclosed within some kind of structure, requiring extensive data collection and analysis to solve noise problems across many industries. Development of a technology that can quickly extract the location of a sound where the line of sight is blocked can lead to significant improvements in the efficiency of troubleshooting noise issues. Sound source localization inside solid enclosures allows an engineer to effectively see inside a solid enclosure to gain insight on the sound located on the interior. This technology has applications in industries including but not limited to automotive such as BSR (Buzz, Squeak, Rattle) issues in engine compartments, airplane noise issues, and even household appliances. It can be specifically effective when traditional Fourier analysis is not an effective means of root causing a noise issue. Through monitoring surface vibrations on acoustically excited surfaces and utilization of SODAR localization algorithms, sound localization inside solid enclosures can be achieved. Multiple laser vibrometers are created and integrated into an array to project onto acoustically excited surfaces to obtain the time difference of arrival of acoustic waves for source localization. Many studies are conducted to understand the impact of array size on localization spatial resolution as well as the limitations of the technology. Experimental testing yields successful results and proves this methodology to be effective in localizing sound that is enclosed or blocked by some structure.

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