Multiple sensors and partial calibration for on-board measurement of rail acoustic roughness: results of rolling tests
Résumé
The indirect measurement of roughness using vibro-acoustic sensors on board rolling stock is promising, as shown by recent research on this topic. However, a number of improvements can be made to the existing methods to extend their range of validity. In this paper, the performance of the multi-sensor method developed in the framework of the French research project MEEQUAI is presented. The estimation of the effective roughness is per-formed for different sensor families using a least squares method in the fre-quency domain, from the signal spectra in third octave and modelled transfer functions corresponding to the detected track layout. A partial calibration method is also proposed. The calibration gain is relative and allows the vari-ability of the transfers with the track support to be retained, thanks to the models. The method was tested in France with sensors installed on a test train running at several speeds on a track section of a railway test center as well as on two track sections of the national railway network with different supports.
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|