Multi-stage feature selection by using genetic algorithms for fault diagnosis in gearboxes based on vibration signal

Sensors (Switzerland)

Volumn 15, Issue 9, 2015, Pages 23903-23926

  Cerrada, Mariela ^a,b   Sánchez, René Vinicio ^b,d   Cabrera, Diego ^b   Zurita, Grover ^b   Li, Chuan ^c  

^a UNIVERSIDAD DE LOS ANDES   (Venezuela)

^b UNIVERSIDAD POLITÉCNICA SALESIANA   (Ecuador)

^c CHONGQING TECHNOLOGY AND BUSINESS UNIVERSITY   (China)

^d UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

Author keywords

Fault diagnosis; Feature selection; Gearbox; Genetic algorithms; Neural networks; Vibration signal

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FAILURE ANALYSIS; FEATURE EXTRACTION; GENETIC ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; STATISTICAL TESTS;

CLASSIFIER PERFORMANCE; CONDITION PARAMETERS; CONDITION-BASED MONITORING; EXPLORATION AND EXPLOITATION; GEARBOX; NEURAL NETWORK CLASSIFIER; TIME FREQUENCY DOMAIN; VIBRATION SIGNAL;

FAULT DETECTION;

EID: 84944128390     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s150923903     Document Type: Article

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