Bearing fault diagnosis using hybrid genetic algorithm K-means clustering

INISTA 2014 - IEEE International Symposium on Innovations in Intelligent Systems and Applications, Proceedings

Volumn , Issue , 2014, Pages 84-89

  Ettefagh, M M ^a   Ghaemi, M ^a   Yazdanian Asr, M ^a  

^a UNIVERSITY OF TABRIZ   (Iran)

Author keywords

Condition Monitoring; Fault Diagnosis; Genetic Algorithm; K means Clustering

Indexed keywords

ALGORITHMS; CONDITION MONITORING; FAILURE ANALYSIS; INTELLIGENT SYSTEMS;

BEARING FAULT DIAGNOSIS; FAULT DIAGNOSIS METHOD; FAULT DIAGNOSIS OF ROTATING MACHINERIES; HYBRID GENETIC ALGORITHMS; INITIAL POINT; K-MEANS CLUSTERING; MAINTENANCE COST; ROTOR-BEARING SYSTEM;

GENETIC ALGORITHMS;

EID: 84906654191     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INISTA.2014.6873601     Document Type: Conference Paper

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