Track Defects Recognition Based on Axle-Box Vibration Acceleration and Deep-Learning Techniques

Track Defects Recognition Based on Axle-Box Vibration Acceleration and Deep-Learning Techniques

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Structural durability & health monitoring 2024, Vol.18 (5), p.623-640
Hauptverfasser: Yin, Xianxian, Yin, Shimin, Bu, Yiming, Wei, Xiukun
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 640
container_issue 5
container_start_page 623
container_title Structural durability & health monitoring
container_volume 18
creator Yin, Xianxian
Yin, Shimin
Bu, Yiming
Wei, Xiukun
description
doi_str_mv 10.32604/sdhm.2024.050195
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_32604_sdhm_2024_050195</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_32604_sdhm_2024_050195</sourcerecordid><originalsourceid>FETCH-LOGICAL-c855-4f599e1cf3855dddb1ed4a94e95a9491bb9bf90ecdc8d43342a7b49f7ef0fa1b3</originalsourceid><addsrcrecordid>eNpNkMtKAzEYhYMoWKsP4C4vkDHXtllOq1ZhQJDBbcjlTzs6nalJhfr2Ti8LN-fCgbP4ELpntBB8QuVDDutNwSmXBVWUaXWBRkwLSrjW7PJfvkY3OX9SKidcqBEydbL-Cz9CBL_L-B18v-qaXdN3eG4zBDyEct8Cmfd7_NG4ZI9b6T20cC62C8MBbEkFNnVNt8I1-HXXfP9AvkVX0bYZ7s4-RvXzU714IdXb8nVRVsTPlCIyKq2B-SiGFkJwDIK0WoJWg2rmnHZRU_DBz4IUQnI7dVLHKUQaLXNijNjp1qc-5wTRbFOzsenXMGqOgMwBkDkAMidA4g-iyFuZ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Track Defects Recognition Based on Axle-Box Vibration Acceleration and Deep-Learning Techniques</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Tech Science Press</source><creator>Yin, Xianxian ; Yin, Shimin ; Bu, Yiming ; Wei, Xiukun</creator><creatorcontrib>Yin, Xianxian ; Yin, Shimin ; Bu, Yiming ; Wei, Xiukun</creatorcontrib><identifier>ISSN: 1930-2991</identifier><identifier>EISSN: 1930-2991</identifier><identifier>DOI: 10.32604/sdhm.2024.050195</identifier><language>eng</language><ispartof>Structural durability &amp; health monitoring, 2024, Vol.18 (5), p.623-640</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,4010,27904,27905,27906</link.rule.ids></links><search><creatorcontrib>Yin, Xianxian</creatorcontrib><creatorcontrib>Yin, Shimin</creatorcontrib><creatorcontrib>Bu, Yiming</creatorcontrib><creatorcontrib>Wei, Xiukun</creatorcontrib><title>Track Defects Recognition Based on Axle-Box Vibration Acceleration and Deep-Learning Techniques</title><title>Structural durability &amp; health monitoring</title><issn>1930-2991</issn><issn>1930-2991</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpNkMtKAzEYhYMoWKsP4C4vkDHXtllOq1ZhQJDBbcjlTzs6nalJhfr2Ti8LN-fCgbP4ELpntBB8QuVDDutNwSmXBVWUaXWBRkwLSrjW7PJfvkY3OX9SKidcqBEydbL-Cz9CBL_L-B18v-qaXdN3eG4zBDyEct8Cmfd7_NG4ZI9b6T20cC62C8MBbEkFNnVNt8I1-HXXfP9AvkVX0bYZ7s4-RvXzU714IdXb8nVRVsTPlCIyKq2B-SiGFkJwDIK0WoJWg2rmnHZRU_DBz4IUQnI7dVLHKUQaLXNijNjp1qc-5wTRbFOzsenXMGqOgMwBkDkAMidA4g-iyFuZ</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Yin, Xianxian</creator><creator>Yin, Shimin</creator><creator>Bu, Yiming</creator><creator>Wei, Xiukun</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>2024</creationdate><title>Track Defects Recognition Based on Axle-Box Vibration Acceleration and Deep-Learning Techniques</title><author>Yin, Xianxian ; Yin, Shimin ; Bu, Yiming ; Wei, Xiukun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c855-4f599e1cf3855dddb1ed4a94e95a9491bb9bf90ecdc8d43342a7b49f7ef0fa1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Yin, Xianxian</creatorcontrib><creatorcontrib>Yin, Shimin</creatorcontrib><creatorcontrib>Bu, Yiming</creatorcontrib><creatorcontrib>Wei, Xiukun</creatorcontrib><collection>CrossRef</collection><jtitle>Structural durability &amp; health monitoring</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yin, Xianxian</au><au>Yin, Shimin</au><au>Bu, Yiming</au><au>Wei, Xiukun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Track Defects Recognition Based on Axle-Box Vibration Acceleration and Deep-Learning Techniques</atitle><jtitle>Structural durability &amp; health monitoring</jtitle><date>2024</date><risdate>2024</risdate><volume>18</volume><issue>5</issue><spage>623</spage><epage>640</epage><pages>623-640</pages><issn>1930-2991</issn><eissn>1930-2991</eissn><doi>10.32604/sdhm.2024.050195</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1930-2991
ispartof Structural durability & health monitoring, 2024, Vol.18 (5), p.623-640
issn 1930-2991
1930-2991
language eng
recordid cdi_crossref_primary_10_32604_sdhm_2024_050195
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Tech Science Press
title Track Defects Recognition Based on Axle-Box Vibration Acceleration and Deep-Learning Techniques
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T03%3A29%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Track%20Defects%20Recognition%20Based%20on%20Axle-Box%20Vibration%20Acceleration%20and%20Deep-Learning%20Techniques&rft.jtitle=Structural%20durability%20&%20health%20monitoring&rft.au=Yin,%20Xianxian&rft.date=2024&rft.volume=18&rft.issue=5&rft.spage=623&rft.epage=640&rft.pages=623-640&rft.issn=1930-2991&rft.eissn=1930-2991&rft_id=info:doi/10.32604/sdhm.2024.050195&rft_dat=%3Ccrossref%3E10_32604_sdhm_2024_050195%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true