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EMD and GNN-AdaBoost fault diagnosis for urban rail train rolling bearings
Author(s) -
Guorong Cai,
Changwei Yang,
Y. Pan,
Jiaojiao Lv
Publication year - 2019
Publication title -
discrete and continuous dynamical systems. series 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 , boosting (machine learning) , feature extraction , rolling element bearing , classifier (uml) , artificial neural network , fault (geology) , computer science , engineering , bearing (navigation) , vibration , computer vision , acoustics , physics , filter (signal processing) , seismology , geology

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