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Affiliation of Author(s):能源与动力学院
Title of Paper:An unsupervised learning method for bearing fault diagnosis based on sparse feature extraction
Journal:proceedings of 2019 Prognostics and System Health
Translation or Not:no
Date of Publication:2019-10-25
Co-author:王金瑞,lxl
Correspondence Author:lsz