Statistical tyre/road noise modelling based on continuous 3D texture data
In this article, statistical modelling approaches for tyre/road noise levels (according to the CPX method) based on continuous 3D texture measurements are presented. The main focus is to estimate if viable correlations of interpretable 3D texture parameters with frequency-dependent CPX levels can be...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
|
| Series: | Acta Acustica |
| Subjects: | |
| Online Access: | https://acta-acustica.edpsciences.org/articles/aacus/full_html/2021/01/aacus210043/aacus210043.html |
| _version_ | 1797712731658256384 |
|---|---|
| author | Wehr Reinhard Fuchs Andreas Breuss Simon |
| author_facet | Wehr Reinhard Fuchs Andreas Breuss Simon |
| author_sort | Wehr Reinhard |
| collection | DOAJ |
| description | In this article, statistical modelling approaches for tyre/road noise levels (according to the CPX method) based on continuous 3D texture measurements are presented. The main focus is to estimate if viable correlations of interpretable 3D texture parameters with frequency-dependent CPX levels can be found. Therefore, a set of descriptive 3D texture parameters is introduced. Two different modelling approaches, focussing on linearity in order to gain interpretability, are shown. First, a linear model is calculated based on the first principal components of the texture parameters, and second, a random forest regression approach is performed on the direct texture parameters. As a principal component analysis of the CPX measurement data reveals three highly correlated frequency ranges, both approaches are calculated independently for low, mid and high frequency bands. Both models show good performance in the low and mid frequency range, whereas the accuracy in the high frequency range declines. Due to the focus on linearity, both approaches result in comparable statistical benchmark parameters. |
| first_indexed | 2024-03-12T07:26:29Z |
| format | Article |
| id | doaj.art-a515c9866db141d0acafdb2a25c7e70d |
| institution | Directory Open Access Journal |
| issn | 2681-4617 |
| language | English |
| last_indexed | 2024-03-12T07:26:29Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Acta Acustica |
| spelling | doaj.art-a515c9866db141d0acafdb2a25c7e70d2023-09-02T22:08:11ZengEDP SciencesActa Acustica2681-46172021-01-0155210.1051/aacus/2021040aacus210043Statistical tyre/road noise modelling based on continuous 3D texture dataWehr ReinhardFuchs Andreas0Breuss Simon1AIT Austrian Institute of TechnologyAIT Austrian Institute of TechnologyIn this article, statistical modelling approaches for tyre/road noise levels (according to the CPX method) based on continuous 3D texture measurements are presented. The main focus is to estimate if viable correlations of interpretable 3D texture parameters with frequency-dependent CPX levels can be found. Therefore, a set of descriptive 3D texture parameters is introduced. Two different modelling approaches, focussing on linearity in order to gain interpretability, are shown. First, a linear model is calculated based on the first principal components of the texture parameters, and second, a random forest regression approach is performed on the direct texture parameters. As a principal component analysis of the CPX measurement data reveals three highly correlated frequency ranges, both approaches are calculated independently for low, mid and high frequency bands. Both models show good performance in the low and mid frequency range, whereas the accuracy in the high frequency range declines. Due to the focus on linearity, both approaches result in comparable statistical benchmark parameters.https://acta-acustica.edpsciences.org/articles/aacus/full_html/2021/01/aacus210043/aacus210043.htmltyre/road noisecpx method3d road surface texturestatistical modelling |
| spellingShingle | Wehr Reinhard Fuchs Andreas Breuss Simon Statistical tyre/road noise modelling based on continuous 3D texture data Acta Acustica tyre/road noise cpx method 3d road surface texture statistical modelling |
| title | Statistical tyre/road noise modelling based on continuous 3D texture data |
| title_full | Statistical tyre/road noise modelling based on continuous 3D texture data |
| title_fullStr | Statistical tyre/road noise modelling based on continuous 3D texture data |
| title_full_unstemmed | Statistical tyre/road noise modelling based on continuous 3D texture data |
| title_short | Statistical tyre/road noise modelling based on continuous 3D texture data |
| title_sort | statistical tyre road noise modelling based on continuous 3d texture data |
| topic | tyre/road noise cpx method 3d road surface texture statistical modelling |
| url | https://acta-acustica.edpsciences.org/articles/aacus/full_html/2021/01/aacus210043/aacus210043.html |
| work_keys_str_mv | AT wehrreinhard statisticaltyreroadnoisemodellingbasedoncontinuous3dtexturedata AT fuchsandreas statisticaltyreroadnoisemodellingbasedoncontinuous3dtexturedata AT breusssimon statisticaltyreroadnoisemodellingbasedoncontinuous3dtexturedata |