Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data

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Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data

Purpose Deep Neural Networks (DNNs) typically require enormous labeled training samples to achieve optimum performance. Therefore, numerous forms of data augmentation techniques are employed to compensate for the lack of training samples. Methods In this paper, a data augmentation technique named...

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Bibliographic Details
Main Authors:	Atik, Faysal, W. K., Ngui, M. H., Lim, M. S., Leong
Format:	Article
Language:	English
Published:	Springer Link 2022
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/35522/ http://umpir.ump.edu.my/id/eprint/35522/1/Ensemble%20Augmentation%20for.pdf

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