Analysis of the usefulness of distinctive noise features from rail and wheel in assessing their impact on the overall railway noise level
 
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AGH, University of Science and Technology
CORRESPONDING AUTHOR
Tadeusz Wszołek   

AGH, University of Science and Technology
Online publication date: 2019-11-28
Publication date: 2019-11-28
Submission date: 2019-07-25
Final revision date: 2019-11-26
Acceptance date: 2019-11-26
 
Diagnostyka 2019;20(4):103–109
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ABSTRACT
The interaction of the wheel and rail is the main source of railway noise over a wide speed range. The relationship between wheel and rail noise on the overall level depends on the pass-by speed, with the dominance of noise from the rail at low speeds and the reverse relationship at higher speeds. Therefore, as part of the work the issue of analyzing the characteristic features of the acoustic signal generated on a selected section of the railway line from three different passenger trains TLK, Stadler and Pendolino was taken. The spectra of LEQ levels and their spread in 1/3 octave bands and spectral moments were adopted as the main distinctive features. The degree of aggregation of permanent features assigned to the track and variable features characteristic for passing-by trains were analysed. There were also tested their usefulness in the assessment of the impact of noise from wheels and rails on the overall level of railway noise from the tested units. The obtained results confirm the usefulness of the features based on the analysis of the spread of results in 1/3 octave bands in differentiating noise sources from rail and wheel, with slightly less usefulness of spectral moments.
 
REFERENCES (21)
1.
Arteaga IL. Rolling noise in road and rail transportation systems. Internoise 2019, Madrid, June 16-19.
 
2.
Benoit C. J. Phys. Condens. Matter4 3125, The spectral moments method. 1992. https://iopscience.iop.org/art....
 
3.
Burdzik R, Nowak B, Młyńczak J, Deuszkiewicz P. Anaysis of the detection and crossing signalig system in safety terms, Diagnostyka 2016; 17(4):65-72.
 
4.
Eichenlaub Ch, Lutzenberger S, Stegemann B, Czolbe Ch. A road test on acoustic wheel rougness measurement, Conference Proceedings. Interonoise 2016.
 
5.
Hanson D, Jiang J, Bruce Dowdell, Richard Dwight. Curve Squeal: Causes, Treatments and Results, Australia 2014.
 
6.
Jain AK, Murty MN, Flynn PJ. Data clustering: a review. ACM Comput Surv. Article in ACM Computing Surveys, 1999. http://citeseerx.ist.psu.edu/v....
 
7.
Janssens MHA, Dittrich MG, Beer FG, Jones CJC. Railway noise measurement method for pass-by noise, totlal effective roughness, transfer functions and track spatial decay. Journal of Sound and Vibration. 2006; 293:1007-1028.
 
8.
Kohrs T, Kirchner KR, Fast D, Vallesspin A, Sapena J, Garcia AG, Martner O. Sound propagation and distribution around typical tran carbody structures. Conference Proceedings, Euronoise 2018.
 
9.
Kukulski B, Wszołek T, The research on impulsive events in railway noise generated during passage through a railroad switch. /Archives of Acoustics, 2017; 42(3):441-447. https://dx.doi.org/10.1515/aoa....
 
10.
Letourneaux Fabien, Olivier Coste, Cyril Mellet, and Pascal Fodiman. Environmental Railway Noise: a Source Separation Measurement Method for Noise Emissions of Vehicles and Track. In Forum Acusticum. Sewilla, 2002.
 
11.
Majchrowicz J. Differentiation of railway noise sources originating from the track and suspension system. Master thesis, Kraków, 2019.
 
12.
Thompson DG. Squicciarini J, Zang Artega IL, Zea E, Dittrich M, Jansen E, Arcas K, Cierco E, Magrans FX, Malkoun A, Iturritxa E, Guiral A, Stangl M, Schlainzer G, Lopez BM, Chaufor C, Wandell J. Assessment of masurent-based methods for separating wheel and track contributions to railway rolling noise. Applied Acoustics. 2018; 140:48-62. https://doi.org/10.1016/j.apac....
 
13.
Thompson D. Railway noise and vibration: mechanism, modelling and means of control. Elsevier. Oxford, 2009.
 
14.
Verheijen E, Paviotti M. VTN. A validated method to separate track and vehicle noise and to assess noise reduction measures. In World Congress Railway, Research. Edinburgh, 2003.
 
15.
Vogel F, Holm S, Ole Christian Lingjirde. Spectral moments and time domain representation of photoacoustic signals used for detection of crude oil in produced water. Oslo, Norwegia, 2001.
 
16.
Wszołek T, Tadeusiewicz R. Extraction of the vector of distinctive features for the acoustic signal from corona in overhead power lines, Archives of Acoustics. 2005;30(4):237,240.
 
17.
Wszołek T. Cumulative Industrial Noise Impact on the Environment. Archives of Acoustics, Vol.42, No 2, 169-174 (2017).
 
18.
Wu TX, Thompson DJ. On rolling noise generation due to wheel/track parametric excitation. Journal of Sound and Vibration. 2006; 293: 566-574 https://doi.org/10.1016/j.jsv.....
 
19.
Zea E, Artega IL. Simplified wave signature extraction method for rail contribution estimations. Conference Proceedings, Euronoise 2018.
 
20.
Zea E, Manzari L, Artega IL, Squicciarini G, Thomson D. Separation of track contribution to pass-by noise by near-field array techniques. International Conress of Acoustics, Buenos Aires 5-9 September 2016, Paper ICA2016-813.
 
21.
ISO 3095:2013. Acoustics – Railway applications-Measurement of noise emitted by railbound vehicles.
 
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