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Simplified wave signature extraction method for rail contribution estimations
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Marcus Wallenberg Laboratory MWL.ORCID iD: 0000-0001-5723-9571
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Marcus Wallenberg Laboratory MWL. Eindhoven University of Technology, Department of Mechanical Engineering.ORCID iD: 0000-0002-3609-3005
2018 (English)Conference paper, Published paper (Other academic)
Abstract [en]

The present paper investigates a modified implementation of the wave signature extraction (WSE) method [1], whose aim is to separate the rail contribution to the pass-by noise of railway vehicles. The method requires a line microphone array parallel to the rail, and two accelerometers on the rail in the vertical and lateral direction. The motivation for this work is the need to separate the rail contribution to the pass-by noise of railway vehicles. The WSE method [1] is based on the wavenumber domain filtering of pass-by data measured with a microphone array located in the near-field of the rail. The filter design does not require a priori information of the structural properties of the rail, since the required information is obtained from array pressure data and rail vibration data before and after the train passes in front of the array. The filter is such that it extracts the dispersion plot branches of the first family of horizontal and vertical bending waves (moving band-pass filter). Although the comparison with TWINS simulation data provides very promising results, there are discrepancies at the higher frequencies, possibly due to the onset of new bending wave families. Therefore in the present paper we assess the performance of a simplified WSE method, where a moving low-pass filter is used instead, and the results are compared to the original WSE implementation and the TWINS simulation data. We show that the results in the higher frequency range are improved with respect to the original WSE implementation.

[1] Zea et al. Journal of Sound and Vibration 409, pp. 24–42, 2017

Place, publisher, year, edition, pages
2018.
National Category
Vehicle Engineering Fluid Mechanics and Acoustics
Research subject
Vehicle and Maritime Engineering
Identifiers
URN: urn:nbn:se:kth:diva-229675OAI: oai:DiVA.org:kth-229675DiVA, id: diva2:1213958
Conference
Euronoise
Funder
EU, Horizon 2020, 636032Available from: 2018-06-05 Created: 2018-06-05 Last updated: 2018-06-14Bibliographically approved

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Lopez Arteaga, Ines

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