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The Characterization of Bituminous Coal Microstructure and Permeability by Liquid Nitrogen Fracturing Based on μCT Technology

Release time:2021-09-28 Hits:

DOI number:10.1016/j.fuel.2019.116635
Affiliation of Author(s):矿业工程学院
Funded by:国家自然科学基金项目
First Author:Zanglei
Co-author:陈帅,fangxinqiu,lishuang
Indexed by:Journal paper
Volume:262
Translation or Not:no
Date of Publication:2020-02-15

Pre One: K. Yu, T. R. Lin, H. Ma, X. Li and X. Li, “A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning,” Mech. Syst. Signal Process., vol. 146, 107043, Jan. 2021.

Next One: K. Yu, H. Han, Q. Fu, H. Ma and J. Zeng, “Symmetric co-training based unsupervised domain adaptation approach for intelligent fault diagnosis of rolling bearing,” Meas. Sci. Technol., vol. 31, no. 11, 115008 (15pp), Aug. 2020.