Identification of abnormal tribological regimes using a microphone and semi-supervised machine-learning algorithm
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2223-7704
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Identification of abnormal tribological regimes using a microphone and semi-supervised machine-learning algorithm ; day:28 ; month:6 ; year:2021 ; pages:1-14
Friction ; (28.6.2021), 1-14
- Urheber
-
Pandiyan, Vigneashwara
Prost, Josef
Vorlaufer, Georg
Varga, Markus
Wasmer, Kilian
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s40544-021-0518-0
- URN
-
urn:nbn:de:101:1-2021101021355259943371
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:23 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Pandiyan, Vigneashwara
- Prost, Josef
- Vorlaufer, Georg
- Varga, Markus
- Wasmer, Kilian
- SpringerLink (Online service)
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