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Application of Pass-Band Step Filtering Method for Identification the Vibration-Acoustic Signature of a Moving Train

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The paper presents research on application of pass-band step filtering method for identification the vibration-acoustic signature of a moving train. Authors present results of applying new methods of filtering vibration-acoustic signatures. The signal comb filtering was applied and the RMS in the time course and the sum of the FFT amplitudes in the spectra were used as a general measure after filtering the signal. Modern rail vehicles, as well as those modernized due to reaching high speed (HSR), arouse interest in terms of vibration and acoustic signals that they generate, especially in the context of the changing market of rail transport services in Central Europe. Rail transport and railway infrastructure managers perceive the problem of acoustic comfort in the vicinity of railway routes, therefore this subject becomes an important aspect from the point of view of further analyzes. The issue of the use of various filtering methods to identify the vibration and acoustic signature of a moving train is of key importance for further analyzes of research on environmental comfort as well as other research on vibroacoustic signals on the railway.

Original languageEnglish
Title of host publicationLecture Notes in Intelligent Transportation and Infrastructure
PublisherSpringer Nature
Pages68-78
Number of pages11
DOIs
Publication statusPublished - 2022

Publication series

NameLecture Notes in Intelligent Transportation and Infrastructure
VolumePart F1395
ISSN (Print)2523-3440
ISSN (Electronic)2523-3459

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Noise
  • Train
  • Vibration
  • Vibroacoustic signature

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Control and Systems Engineering
  • Transportation

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