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Rail Corrugation Index Development by Sound-Field Excitation on the Carriage Floor of In-Service Train
The steel rail and wheel in the railway system offer a high precision and smooth-running surface. Nevertheless, the point of contact between the rail and wheel presents a critical area that can give rise to rail corrugation. This phenomenon can potentially elevate sound and vibration levels in the v...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490596/ https://www.ncbi.nlm.nih.gov/pubmed/37687994 http://dx.doi.org/10.3390/s23177539 |
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author | Hsu, Wei-Lun Chang, Chia-Ming |
author_facet | Hsu, Wei-Lun Chang, Chia-Ming |
author_sort | Hsu, Wei-Lun |
collection | PubMed |
description | The steel rail and wheel in the railway system offer a high precision and smooth-running surface. Nevertheless, the point of contact between the rail and wheel presents a critical area that can give rise to rail corrugation. This phenomenon can potentially elevate sound and vibration levels in the vicinity considerably, necessitating advanced monitoring and assessment measures. Recently, many efforts have been directed towards utilizing in-service trains for evaluating rail corrugation, and the evaluation has primarily relied on axle-box acceleration (ABA). However, the ABA measurements require a higher threshold for vibration detection. This study introduces a novel approach to rail corrugation detection by carriage floor acceleration (CFA), aimed at lowering the detection threshold. The method capitalizes on the acceleration data sensed on the carriage floor, which is induced by the sound pressure (e.g., sound-field excitation) generated at the wheel–rail contact point. An exploration of the correlation between these datasets is undertaken by simultaneously measuring both ABA and CFA. Moreover, a pivotal aspect of this research is the development of the eigenfrequency rail corrugation index (E-RCI), a mechanism that culminates energy around specific eigenfrequencies by CFA. Through this index, a focused analysis of rail corrugation patterns is facilitated. The study further delves into the stability, repeatability, and sensitivity of the E-RCI via varied measurement scenarios. Ultimately, the CFA-based rail corrugation identification is verified, establishing its practical applicability and offering a distinct approach to detecting and characterizing rail corrugation phenomena. This study has introduced an innovative methodology for rail corrugation detection using CFA, with the principal objective of lowering the detection threshold. This approach offers an efficient measurement technique for identifying rail corrugation areas, thereby potentially reducing maintenance costs and enhancing efficiency within the railway industry. |
format | Online Article Text |
id | pubmed-10490596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104905962023-09-09 Rail Corrugation Index Development by Sound-Field Excitation on the Carriage Floor of In-Service Train Hsu, Wei-Lun Chang, Chia-Ming Sensors (Basel) Article The steel rail and wheel in the railway system offer a high precision and smooth-running surface. Nevertheless, the point of contact between the rail and wheel presents a critical area that can give rise to rail corrugation. This phenomenon can potentially elevate sound and vibration levels in the vicinity considerably, necessitating advanced monitoring and assessment measures. Recently, many efforts have been directed towards utilizing in-service trains for evaluating rail corrugation, and the evaluation has primarily relied on axle-box acceleration (ABA). However, the ABA measurements require a higher threshold for vibration detection. This study introduces a novel approach to rail corrugation detection by carriage floor acceleration (CFA), aimed at lowering the detection threshold. The method capitalizes on the acceleration data sensed on the carriage floor, which is induced by the sound pressure (e.g., sound-field excitation) generated at the wheel–rail contact point. An exploration of the correlation between these datasets is undertaken by simultaneously measuring both ABA and CFA. Moreover, a pivotal aspect of this research is the development of the eigenfrequency rail corrugation index (E-RCI), a mechanism that culminates energy around specific eigenfrequencies by CFA. Through this index, a focused analysis of rail corrugation patterns is facilitated. The study further delves into the stability, repeatability, and sensitivity of the E-RCI via varied measurement scenarios. Ultimately, the CFA-based rail corrugation identification is verified, establishing its practical applicability and offering a distinct approach to detecting and characterizing rail corrugation phenomena. This study has introduced an innovative methodology for rail corrugation detection using CFA, with the principal objective of lowering the detection threshold. This approach offers an efficient measurement technique for identifying rail corrugation areas, thereby potentially reducing maintenance costs and enhancing efficiency within the railway industry. MDPI 2023-08-30 /pmc/articles/PMC10490596/ /pubmed/37687994 http://dx.doi.org/10.3390/s23177539 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hsu, Wei-Lun Chang, Chia-Ming Rail Corrugation Index Development by Sound-Field Excitation on the Carriage Floor of In-Service Train |
title | Rail Corrugation Index Development by Sound-Field Excitation on the Carriage Floor of In-Service Train |
title_full | Rail Corrugation Index Development by Sound-Field Excitation on the Carriage Floor of In-Service Train |
title_fullStr | Rail Corrugation Index Development by Sound-Field Excitation on the Carriage Floor of In-Service Train |
title_full_unstemmed | Rail Corrugation Index Development by Sound-Field Excitation on the Carriage Floor of In-Service Train |
title_short | Rail Corrugation Index Development by Sound-Field Excitation on the Carriage Floor of In-Service Train |
title_sort | rail corrugation index development by sound-field excitation on the carriage floor of in-service train |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490596/ https://www.ncbi.nlm.nih.gov/pubmed/37687994 http://dx.doi.org/10.3390/s23177539 |
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