A distinguished deep learning method for gear fault classification using time–frequency representation
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
A distinguished deep learning method for gear fault classification using time–frequency representation ; volume:6 ; number:7 ; day:22 ; month:6 ; year:2024 ; pages:1-17 ; date:7.2024
Discover applied sciences ; 6, Heft 7 (22.6.2024), 1-17, 7.2024
- Urheber
-
Nguyen, Trong-Du
Nguyen, Huu-Cuong
Pham, Duong-Hung
Nguyen, Phong-Dien
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s42452-024-06033-7
- URN
-
urn:nbn:de:101:1-2409161043011.844693049358
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:30 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
- Nguyen, Trong-Du
- Nguyen, Huu-Cuong
- Pham, Duong-Hung
- Nguyen, Phong-Dien
- SpringerLink (Online service)
Ähnliche Objekte (12)
Adhoc method to Invert the Reassigned Time-Frequency Representation
A Frequency‐Uniform and Pitch‐Invariant Time‐Frequency Representation
Application of improved time–frequency representation to local noise removal
Distinguished representation of identical mentions in bio-entity coreference resolution
Degramnet: effective audio analysis based on a fully learnable time–frequency representation
Model Parameter Transfer for Gear Fault Diagnosis under Varying Working Conditions
Distinguished
Time-frequency representations
A Review of Gear Fault Diagnosis of Planetary Gearboxes Using Acoustic Emissions
A Review of Gear Fault Diagnosis of Planetary Gearboxes Using Acoustic Emissions
A multi-fault diagnosis method of gear-box running on edge equipment
Distinguished Supporters.
Adhoc method to Invert the Reassigned Time-Frequency Representation
A Frequency‐Uniform and Pitch‐Invariant Time‐Frequency Representation
Application of improved time–frequency representation to local noise removal
Distinguished representation of identical mentions in bio-entity coreference resolution
Degramnet: effective audio analysis based on a fully learnable time–frequency representation
Model Parameter Transfer for Gear Fault Diagnosis under Varying Working Conditions
Distinguished
Time-frequency representations
A Review of Gear Fault Diagnosis of Planetary Gearboxes Using Acoustic Emissions
A Review of Gear Fault Diagnosis of Planetary Gearboxes Using Acoustic Emissions
A multi-fault diagnosis method of gear-box running on edge equipment
Distinguished Supporters.
Adhoc method to Invert the Reassigned Time-Frequency Representation
A Frequency‐Uniform and Pitch‐Invariant Time‐Frequency Representation
Application of improved time–frequency representation to local noise removal
Distinguished representation of identical mentions in bio-entity coreference resolution
Degramnet: effective audio analysis based on a fully learnable time–frequency representation
Model Parameter Transfer for Gear Fault Diagnosis under Varying Working Conditions
Distinguished
Time-frequency representations
A Review of Gear Fault Diagnosis of Planetary Gearboxes Using Acoustic Emissions
A Review of Gear Fault Diagnosis of Planetary Gearboxes Using Acoustic Emissions
A multi-fault diagnosis method of gear-box running on edge equipment