Intelligent fault diagnosis of mine ventilation system for imbalanced data sets

Intelligent fault diagnosis of mine ventilation system for imbalanced data sets

It is of great significance to determine the location of fault branch timely and accurately to ensure the reliability and safety of mine ventilation system. To solve the problem that the traditional machine learning model has the poor diagnostic ability and generalization ability due to the imbalanc...

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Bibliographic Details
Main Authors:	Dan ZHAO, Zhiyuan SHEN, Zihao SONG
Format:	Article
Language:	zho
Published:	Editorial Office of Journal of China Coal Society 2023-10-01
Series:	Meitan xuebao
Subjects:	mine ventilation system fault diagnosis imbalanced data generate adversarial network random forest
Online Access:	http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2022.1872

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