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Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions
Affiliation of Author(s):机械工程学院
Journal:Mechanical Systems and Signal Processing
First Author:马赛
Document Code:68C176F2E8DB413BAE072DF65BBD91E2
Volume:127
Page Number:190
Number of Words:8
Translation or Not:no
Date of Publication:2019-07-15