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 language | English |
|---|---|
| Title of host publication | Lecture Notes in Intelligent Transportation and Infrastructure |
| Publisher | Springer Nature |
| Pages | 68-78 |
| Number of pages | 11 |
| DOIs | |
| Publication status | Published - 2022 |
Publication series
| Name | Lecture Notes in Intelligent Transportation and Infrastructure |
|---|---|
| Volume | Part F1395 |
| ISSN (Print) | 2523-3440 |
| ISSN (Electronic) | 2523-3459 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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