Gearbox fault diagnosis based on artificial neural network and genetic algorithms

Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011

Volumn , Issue , 2011, Pages 37-42

  Yang, Zhixin ^a   Hoi, Wui Ian ^a   Zhong, Jianhua ^a  

^a UNIVERSITY OF MACAU   (Macao)

Author keywords

artificial neural networks; fault diagnosis; feature selection; genetic algorithm

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BACKPROPAGATION NETWORK; BP NETWORKS; COMBINED SOLUTION; COMPONENT LEVELS; FAULT DIAGNOSIS METHOD; GEAR FAULTS; INPUT FEATURES; INPUT SIGNAL; INTELLIGENT METHOD; MACHINE CONDITION MONITORING; MACHINE LEARNING TECHNOLOGY; MAJOR FACTORS; PAPER TESTS; PROTOTYPE SYSTEM; SIGNAL CLASSIFICATION; SIGNAL PREPROCESSING; SUPPORTING TECHNOLOGY; SYSTEM LEVELS; SYSTEM MAINTENANCE; TIME DOMAIN; VIBRATION SIGNAL; WAVELET PACKET TRANSFORMS;

BACKPROPAGATION; CONDITION MONITORING; FEATURE EXTRACTION; GENETIC ALGORITHMS; LEARNING SYSTEMS; ROTATING MACHINERY; ROTATION; TIME DOMAIN ANALYSIS; WAVELET TRANSFORMS;

NEURAL NETWORKS;

EID: 84860421491     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSSE.2011.5961870     Document Type: Conference Paper

References (10)

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