Open AccessA Novel Intelligent Fault Diagnosis Approach for Critical Rotating Machinery in the Time-frequency Domain
Author(s) -
Behrooz Attaran,
Afshin Ghanbarzadeh,
Shapour Moradi
Publication year - 2020
Publication title -
international journal of engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 17
ISSN - 1728-1431
DOI - 10.5829/ije.2020.33.04a.18
Subject(s) - kurtosis , feature (linguistics) , pattern recognition (psychology) , vibration , fault (geology) , artificial intelligence , bearing (navigation) , frequency domain , computer science , rolling element bearing , artificial neural network , feature vector , time domain , engineering , fault detection and isolation , computer vision , statistics , mathematics , acoustics , philosophy , linguistics , physics , seismology , actuator , geology
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