A comprehensive study on the gearbox fault diagnosis based on vibration analysis: development of a condition monitoring system
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Kleve, Hochschule Rhein-Waal, Bachelorarbeit, 2019
- Classification
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Ingenieurwissenschaften und Maschinenbau
- Event
-
Veröffentlichung
- (where)
-
Kleve
- (who)
-
Hochschule Rhein-Waal
- (when)
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2019
- Creator
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Dascaliuc, Catalin
- Contributor
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Schmetz, Roland
Golafshan, Reza
- URN
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urn:nbn:de:hbz:1383-opus4-4131
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:35 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dascaliuc, Catalin
- Schmetz, Roland
- Golafshan, Reza
- Hochschule Rhein-Waal
Time of origin
- 2019
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Fault severity detection of a worm gearbox based on several feature extraction methods through a developed condition monitoring system
A multi-fault diagnosis method of gear-box running on edge equipment
Gearbox fault diagnosis method based on lightweight channel attention mechanism and transfer learning
Fault diagnosis of gearbox based on Fourier Bessel EWT and manifold regularization ELM
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Numerical and experimental investigations on the vibration behavior of a high-speed planetary gearbox
Gearbox Condition Monitoring Based On Angle Measurement Using A Gear As Material Measure
Research on fault diagnosis method of planetary gearbox based on dynamic simulation and deep transfer learning
Torque effect on vibration behavior of high-speed train gearbox under internal and external excitations
Research on gearbox temperature field image fault diagnosis method based on transfer learning and deep belief network
A novel intelligent fault diagnosis method for gearbox based on multi-dimensional attention denoising convolution
Virtual sensing for gearbox condition monitoring based on kernel factor analysis
Fault severity detection of a worm gearbox based on several feature extraction methods through a developed condition monitoring system
A multi-fault diagnosis method of gear-box running on edge equipment
Gearbox fault diagnosis method based on lightweight channel attention mechanism and transfer learning
Fault diagnosis of gearbox based on Fourier Bessel EWT and manifold regularization ELM
Development of Active Vibration Control System for Gearbox Housings
Numerical and experimental investigations on the vibration behavior of a high-speed planetary gearbox
Gearbox Condition Monitoring Based On Angle Measurement Using A Gear As Material Measure
Research on fault diagnosis method of planetary gearbox based on dynamic simulation and deep transfer learning
Torque effect on vibration behavior of high-speed train gearbox under internal and external excitations
Research on gearbox temperature field image fault diagnosis method based on transfer learning and deep belief network