Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data

In recent years, machine learning has been widely used in various fault diagnosis scenarios. However, existing machine learning algorithms tend to work well in closed static environments and handle a constant number of categories. However, in industrial applications, the monitored data is streaming...

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Veröffentlicht in:	Advanced engineering informatics Jg. 62; S. 102832
Hauptverfasser:	Shi, Mingkuan, Ding, Chuancang, Shen, Changqing, Huang, Weiguo, Zhu, Zhongkui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2024
Schlagworte:	Class imbalance Class incremental learning Industrial streaming data Intelligent fault diagnosis Rotating machinery Industrial streaming data Intelligent fault diagnosis Rotating machinery Class imbalance Class incremental learning
ISSN:	1474-0346
Online-Zugang:	Volltext
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