Ballast Condition Monitoring for Turnouts Using Power Spectral Density-Reference-Cited by-同舟云学术

Ballast Condition Monitoring for Turnouts Using Power Spectral Density

Published:2020-09 Issue:9 Volume:146 Page:04020099
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Fellinger Michael¹^ORCID,Neuhold Johannes²,Marschnig Stefan³

Affiliation:

1. Research Associate, Institute of Railway Engineering and Transport Economy, Graz Univ. of Technology, Rechbauerstraße 12/II, Graz 8010, Austria (corresponding author). ORCID: .

2. Research and Teaching Associate, Institute of Railway Engineering and Transport Economy, Graz Univ. of Technology, Rechbauerstraße 12/II, Graz 8010, Austria.

3. Associate Professor, Institute of Railway Engineering and Transport Economy, Graz Univ. of Technology, Rechbauerstraße 12/II, Graz 8010, Austria.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000433

Reference17 articles.

1. Asadzadeh S. M. R. Galeazzi E. Hovad J. F. Andersen C. Thyregod and A. F. S. Rodrigues. 2018. “Ballast degradation modeling for turnouts based on track recording car data.” In Proc. of 14th European Conf. of the Prognostics and Health Management Society 2018 1–10. Utrecht Netherlands: Prognostics and Health Management Society.

2. Railway ballast monitoring by GPR: A test site investigation;Ciampoli B.;Remote Sens.,2019

3. Ground penetrating radar as part of a holistic strategy for inspecting trackbed;Eriksen A.;Aust. Geomech. Soc.,2011

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