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An unsupervised learning method for bearing fault diagnosis based on sparse feature extraction

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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

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