Abstract
Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. The PCA method enables to reduce the study of a complex noise and vibration problem, with multiple partially correlated references, to the study of independent, uncorrelated problems. This paper describes systematic processes for road noise improvement along with measurement and analysis process. The noise sources are identified by using a source decomposition method. In the next step the main noise paths are identified by using a transfer path analysis method (TPA). Based on obtained results, the design modification of body panels is suggested for road noise reduction by using a panel contribution analysis. Finally the method will be applied to road noise reduction process for a new vehicle.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Van der Auweraer, H., Mas, P., Dom, S., Vecchio, A., Janssens, K., Van de Ponseele, P.: Transfer path analysis in the critical path of vehicle refinement: the role of fast, hybrid and operational path analysis. In: Proceedings of the SAE N&V Conference, Traverse City (USA), SAE paper 2007-0102352 (2007)
Donders, S., Hermans, L., Nauwelaerts, E., and Chojin, S.: CAE technologies for efficient vibro-acoustic vehicle design modification and optimization. In: International Conference on Noise and Vibration Engineering, ISMA 2008, Lueven, Belgium, pp. 4127– 4142 (2008)
Koners, G., Panel noise contribution analysis: an experimental method for determining the noise contributions of panels to an interior noise. SAE (2003)
Wolff, O.: Fast panel noise contribution analysis using large PU sensor arrays. In: Proceedings of Internoise 2007, Istanbul, Turkey (2007)
Castillo, M. S., Schuhmacher, A.: Optimization of Sound Packages for Commercial Vehicles Using Panel Contribution Analysis. SAE (2009)
Yoo, B. K., Chang, K.: Road Noise Reduction Using a Source Decomposition and Noise Path Analysis. SAE (2005)
Virtual Lab User Guide: Virtual Lab 12. SL1, User Manuals
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this paper
Cite this paper
Niculescu, M., Irimia, C., Rosca, I.C., Grovu, M., Guiman, M.V. (2017). Structural Dynamic Applications Using Principal Component Analysis Method. In: Chiru, A., Ispas, N. (eds) CONAT 2016 International Congress of Automotive and Transport Engineering. CONAT 2016. Springer, Cham. https://doi.org/10.1007/978-3-319-45447-4_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-45447-4_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-45446-7
Online ISBN: 978-3-319-45447-4
eBook Packages: EngineeringEngineering (R0)