Browse Publications Technical Papers 2013-01-1704
2013-04-08

Objective Evaluation of Interior Sound Quality in Passenger Cars Using Artificial Neural Networks 2013-01-1704

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 experiment results are compared. The comparison results show that the realized artificial intelligence model is an appropriate model to estimate the sound quality of the automotive interior noise. The reliability value is calculated as 0.9995 by using statistical analysis.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 18% off list price.
Login to see discount.
We also recommend:
TECHNICAL PAPER

Wavelet-Based Visualization, Separation, and Synthesis Tools for Sound Quality of Impulsive Noises

2003-01-1527

View Details

MAGAZINE

Automotive Engineering International 2001-03-01

AUTOMAR01

View Details

TECHNICAL PAPER

Integrated use of Noise Source Identification Techniques during Vehicle Development

2012-36-0642

View Details

X