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Explainable neural network for time series-based condition monitoring in sheet metal shearing

; ;

In
Journal of intelligent manufacturing

ImpressumDordrecht [u.a.] : Springer Science + Business Media B.V

Umfang30 Seiten

ISSN0956-5515

Published: 28 March 2025

Online
DOI: 10.1007/s10845-025-02596-3

DOI: 10.18154/RWTH-2025-03515
URL: https://publications.rwth-aachen.de/record/1009539/files/1009539.pdf

Einrichtungen

  1. Lehrstuhl für Fertigungstechnologie (417410)
  2. Manufacturing Technology Institute – MTI (417400)
  3. Internet of Production (080067)

Projekte

  1. OAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF) (021000-OAPKF)
  2. WS-B1.III-neu - Drive Chain (X080067-WS-B1.III-neu) (X080067-WS-B1.III-neu)
  3. DFG project G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP) (390621612) (390621612)

Inhaltliche Beschreibung (Schlagwörter)
DIGITF100 (frei)

Thematische Einordnung (Klassifikation)
DDC: 620

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105001505285
WOS Core Collection: WOS:00145575900001

Interne Identnummern
RWTH-2025-03515
Datensatz-ID: 1009539

Beteiligte Länder
Germany

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; DEAL Springer ; Essential Science Indicators ; IF >= 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Publications database
080067
417410
 Record created 2025-04-03, last modified 2025-08-22
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