Open AccessEMD and GNN-AdaBoost fault diagnosis for urban rail train rolling bearings
Author(s) -
Guoqiang Cai,
Chen Yang,
Yue Pan,
Jiaojiao Lv
Publication year - 2018
Publication title -
discrete and continuous dynamical systems - s
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.481
H-Index - 34
eISSN - 1937-1632
pISSN - 1937-1179
DOI - 10.3934/dcdss.2019101
Subject(s) - adaboost , hilbert–huang transform , pattern recognition (psychology) , artificial intelligence , feature extraction , boosting (machine learning) , rolling element bearing , fault (geology) , artificial neural network , bearing (navigation) , engineering , computer science , classifier (uml) , train , vibration , computer vision , acoustics , physics , filter (signal processing) , seismology , geology , cartography , geography
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