Improved weighted extreme learning machine with adaptive cost-sensitive strategy for imbalanced fault diagnosis of rotating machinery

Since the fixed weight strategy and the ignored significance of class may reduce the diagnostic performance of weighted extreme learning machine (WELM) in real scenarios, this paper proposed an improved weighted extreme learning machine (IWELM) method with adaptive cost-sensitive strategy for imbala...

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Veröffentlicht in:	Mechanical systems and signal processing Jg. 217; S. 111526
Hauptverfasser:	Zhao, Yinghao, Yang, Xu, Huang, Jian, Gao, Jingjing, Cui, Jiarui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2024
Schlagworte:	Cost-sensitive matrix Imbalanced fault diagnosis Multi-objective multi-verse optimizer algorithm Weighted extreme learning machine Weighted extreme learning machine Cost-sensitive matrix Multi-objective multi-verse optimizer algorithm Imbalanced fault diagnosis
ISSN:	0888-3270, 1096-1216
Online-Zugang:	Volltext
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