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SOUND QUALITY ANALYSIS AND PREDICTION OF VEHICLE INTERIOR NOISE BASED ON GREY SYSTEM THEORY

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Indexed by : Article

Document Code : 000307119100016

First Author : Shuming Chen

Author : 梁杰

Date of Publication : 2012-07-09

Journal : FLUCTUATION AND NOISE LETTERS

Included Journals : SCI  

Affiliation of Author(s) : Jilin Univ

Place of Publication : SINGAPORE

Discipline : 工学

Funded by : Natural Science Foundation for Youths ;National High-tech R&D Plan (863 Plan) Project of China ;Jili

Document Type : J

Volume : 11

Issue : 2

ISSN : 0219-4775

Key Words : Vehicle; noise; sound quality; gray relational analysis; grey prediction model; subjective evaluatio

Teaching and Research Group : State Key Lab Automot Simulat & Control

Abstract : This paper presents a novel effective methodology for sound quality analysis and prediction of vehicle interior noise using gray system theory. Four objective psychoacoustic parameters selected to evaluate acoustic performance of vehicle interior environment are loudness, sharpness, roughness, and fluctuation. Subjective evaluation is presented using paired comparison method, and Bradley-Terry model is also created. The relationship between subjective evaluation and psychoacoustic parameters is determined by using gray relational analysis. Meanwhile, the correlation among psychoacoustic parame

First-Level Discipline : 机械工程

Translation or Not : no

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