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General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fault diagnosis

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Affiliation of Author(s):能源与动力学院

Title of Paper:General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fault diagnosis

Journal:Mechanical Systems and Signal Processing

Translation or Not:no

Date of Publication:2019-02-02

Co-author:张宗振,王金瑞,辛玉,安增辉

Correspondence Author:lsz

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