Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis

Intelligent fault diagnosis based on deep learning (DL) has been widely used in various engineering practices. However, when confronting massive unlabeled industrial data, traditional data-driven intelligent fault diagnosis approaches cannot fully mine the correlation geometric structure information...

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Bibliographic Details

Published in:	Knowledge-based systems Vol. 260; p. 110172
Main Authors:	Shi, Mingkuan, Ding, Chuancang, Wang, Rui, Song, Qiuyu, Shen, Changqing, Huang, Weiguo, Zhu, Zhongkui
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 25.01.2023
Subjects:	Deep hypergraph autoencoder embedding Extreme learning machine autoencoder Higher-order structure information Intelligent fault diagnosis Subspace structure Higher-order structure information Extreme learning machine autoencoder Deep hypergraph autoencoder embedding Intelligent fault diagnosis Subspace structure
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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