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

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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Bibliographic Details
Main Authors: LI Xin, LI Shuhua, CHEN Hao, SI Lei, WEI Dong, ZOU Xiaoyu
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2025-03-01
Series:Gong-kuang zidonghua
Subjects:
shearer cutting unit
gearbox
fault diagnosis
cascaded broad learning
random hypergraph convolution
class-specific weight
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024110057
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http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024110057

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