Fault diagnosis of shearer cutting unit gearbox based on improved cascaded broad learning

The vibration monitoring data of the shearer cutting unit gearbox has a complex structure and is prone to class imbalance issues, leading to frequent false positives in traditional machine learning-based fault diagnosis methods. Meanwhile, deep learning-based approaches often suffer from complex mod...

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Bibliografiske detaljer

Principais autores:	LI Xin, LI Shuhua, CHEN Hao, SI Lei, WEI Dong, ZOU Xiaoyu
Format:	Artigo
Sprog:	Chinês
Udgivet:	Editorial Department of Industry and Mine Automation 2025-03-01
Serier:	Gong-kuang zidonghua
Fag:	shearer cutting unit gearbox fault diagnosis cascaded broad learning random hypergraph convolution class-specific weight
Online adgang:	http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024110057
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