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Condition Monitoring of Rail Infrastructure and Rolling Stock using Acceleration Sensor Data of on-Rail Freight Wagons

; ; ; ; ; ;

In
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods : February 3-5, 2022 / editors: Maria De Marsico, Gabriella Sanniti di Baja and Ana Fred ; [sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC)], Seiten/Artikel-Nr: 432-439

Konferenz/Event:11. International Conference on Pattern Recognition Applications and Methods , online , ICPRAM 2022 , 2022-02-03 - 2022-02-05

ImpressumSetúbal : SCITEPRESS - Science and Technology Publications

Umfang432-439

ISBN978-989-758-549-4

Online
DOI: 10.18154/RWTH-2022-03824
DOI: 10.5220/0010824600003122

URL: https://publications.rwth-aachen.de/record/844319/files/844319.pdf

Einrichtungen

  1. Lehrstuhl für Informationsmanagement im Maschinenbau (416910)
  2. Lehrstuhl für Data Science im Maschinenbau (422610)


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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
WOS Core Collection: WOS:000819122200047
SCOPUS: SCOPUS:2-s2.0-85160681760

Interne Identnummern
RWTH-2022-03824
Datensatz-ID: 844319

Beteiligte Länder
Germany

 GO


Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; OpenAccess

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Document types > Books > Contributions to a book
Faculty of Mechanical Engineering (Fac.4)
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Public records
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416910
422610

 Record created 2022-04-12, last modified 2026-03-20


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