A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data

Meyes, Richard; Donauer, Johanna; Meisen, Tobias; Schmeing, Andre

doi:2351-9789

A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data

Meyes, Richard (Corresponding author)^RWTH* ; Donauer, Johanna^RWTH* ; Schmeing, Andre^RWTH* ; Meisen, Tobias^RWTH*

In
47th North American Manufacturing Research Conference (NAMRC 47) : Erie, Pennsylvania, USA 10-14 June 2019 / Editors: Livan Fratini, Ihab Ragai, Lihui Wang. - Part 2 978-1-7138-0100-9

In
Procedia manufacturing 34, Seiten/Artikel-Nr.:789-797

2020

Konferenz/Event:47. SME North American Manufacturing Research Conference , Erie, PA , USA , NAMRC 47 , 2019-06-10 - 2019-06-14

ImpressumRed Hook, NY : Curran Associates, Inc.

ISBN978-1-7138-0100-9

ISSN2351-9789

Einrichtungen

Thematische Einordnung (Klassifikation)
DDC: 620

Dokumenttyp
Journal Article/Contribution to a book/Contribution to a conference proceedings

Format
print

Sprache
English

Anmerkung
Peer reviewed article

Interne Identnummern
RWTH-2020-09560
Datensatz-ID: 803197

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

Related:

Journal Article/Contribution to a conference proceedings Meyes, R. (Corresponding author)RWTH* ; Donauer, J.RWTH* ; Schmeing, A.RWTH* ; Meisen, T.RWTH*
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
201947. SME North American Manufacturing Research Conference, NAMRC 47), Erie, PAErie, PA, USA, 10 Jun 2019 - 14 Jun 20192019-06-102019-06-14 Procedia manufacturing 34, 789-797 (2019) [10.1016/j.promfg.2019.06.205] special issue: "47th SME North American Manufacturing Research Conference, NAMRC 47, Pennsylvania, USA / Edited by Livan Fratini, Ihab Ragai, Lihui Wang"2019 OpenAccess Files BibTeX | EndNote: XML, Text | RIS