Fault diagnosis in spur gears based on genetic algorithm and random forest

Mechanical Systems and Signal Processing

Volumn 70-71, Issue , 2016, Pages 87-103

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

^a UNIVERSIDAD POLITÉCNICA SALESIANA   (Ecuador)

^b UNIVERSIDAD DE LOS ANDES   (Venezuela)

^c UNIVERSIDAD PRIVADA BOLIVIANA   (Bolivia)

^d UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

^e CHONGQING TECHNOLOGY AND BUSINESS UNIVERSITY   (China)

Author keywords

Fault diagnosis; Feature selection; Gearbox; Genetic algorithms; Random forest; Wavelet packets

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION TREES; FAILURE ANALYSIS; FEATURE EXTRACTION; GEARS; GENETIC ALGORITHMS; LEARNING SYSTEMS; SPUR GEARS;

CLASSIFICATION PRECISION; CONDITION-BASED MONITORING; GEARBOX; INDUSTRIAL ENVIRONMENTS; RANDOM FOREST CLASSIFIER; RANDOM FORESTS; TIME FREQUENCY DOMAIN; WAVELET PACKET;

FAULT DETECTION;

EID: 84961051737     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2015.08.030     Document Type: Article

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