A New Parameter Repurposing Method for Parameter Transfer With Small Dataset and Its Application in Fault Diagnosis of Rolling Element Bearings

Transfer learning is a promising deep learning approach that can be used in applications that suffer from insufficient training data. Parameter transfer, which is a method of improving the accuracy and training speed by training the target network using the parameters of the source network, selects...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.46917-46930
Hauptverfasser:	Kim, Hyunjae, Youn, Byeng D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological neural networks Convolution convolution neural networks Domains Fault diagnosis Faults Feature extraction Freezing Parameter sensitivity parameter transfer Roller bearings Rolling bearings rolling element bearings Task analysis Training transfer learning
Online-Zugang:	Volltext
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