RESEARCH ON BEARING FAULT DIAGNOSIS UNDER UNBALANCED DATA SET BASED ON IWAE (MT)

Aiming at the low accuracy with unbalanced data sets in existing bearing fault diagnosis methods, we proposed a bearing fault diagnosis method based on importance weighted auto-encoder（IWAE） in unbalanced data sets. It was trained by minority samples, and the generated samples were added into origin...

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Váldodahkkit:	LI MengNan, LI Kun, WU Cong
Materiálatiipa:	Artigo
Giella:	Chinês
Almmustuhtton:	Editorial Office of Journal of Mechanical Strength 2023-01-01
Ráidu:	Jixie qiangdu
Fáttát:	Unbalanced data set Importance weighted autoencoders One-dimensional multi-scale convolutional neural network Bearing fault diagnosis
Liŋkkat:	http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.03.009
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