Bearing fault diagnosis based on Gramian angular field and DenseNet

Rolling bearings are the core components of mechanical and electrical systems. A practical fault diagnosis scheme is the key to ensure operational safety. There are excessive characteristic parameters with remarkable randomness and severe signal coupling in the rolling bearing operation, which makes...

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Bibliographic Details
Published in:	Mathematical Biosciences and Engineering
Main Authors:	Yajing Zhou, Xinyu Long, Mingwei Sun, Zengqiang Chen
Format:	Article
Language:	English
Published:	AIMS Press 2022-09-01
Subjects:	fault diagnosis gramian angular field (gaf) densenet transfer learning (tl)
Online Access:	https://www.aimspress.com/article/doi/10.3934/mbe.2022656?viewType=HTML

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