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Objective evaluation of interior sound quality in passenger cars using artificial neural networks

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Indexed by : Journal paper

Document Code : 20132416424712

First Author : Shuming Chen

Author : 吴因冲,刘宗伟,王海林

Date of Publication : 2013-06-01

Journal : SAE International Journal of Passenger Cars - Mechanical Systems

Included Journals : EI  

Affiliation of Author(s) : Jilin University

Place of Publication : United States

Discipline : 工学

Document Type : J

Volume : 6

Issue : 2

ISSN : 19463995

Teaching and Research Group : State Key Laboratory of Automotive Simulation and

Abstract : In this research, the interior noise of a passenger car was measured, and the sound quality metrics including sound pressure level, loudness, sharpness, and roughness were calculated. An artificial neural network was designed to successfully apply on automotive interior noise as well as numerous different fields of technology which aim to overcome difficulties of experimentations and save cost, time and workforce. Sound pressure level, loudness, sharpness, and roughness were estimated by using the artificial neural network designed by using the experiment values. The predicted values and exper

First-Level Discipline : 机械工程

Translation or Not : no

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