Fault diagnosis of roller bearing conditions using ANFIS

Applied Mechanics and Materials

Volumn 16-19, Issue , 2009, Pages 886-890

  Sui, Wentao ^a,b   Zhang, Dan ^a  

^a SHANDONG UNIVERSITY OF TECHNOLOGY   (China)

^b SHANDONG UNIVERSITY   (China)

Author keywords

Adaptive neuro fuzzy inference system (ANFIS); Fault diagnosis; Feature selection; Roller bearing

Indexed keywords

ADAPTIVE NEURAL FUZZY INFERENCE SYSTEMS; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS MODEL; BACK-PROPAGATION NEURAL NETWORKS; CLASS SEPARABILITY; DATA SETS; FAULT DIAGNOSIS; FAULT DIAGNOSIS METHOD; FEATURE SELECTION;

BEARINGS (STRUCTURAL); FAILURE ANALYSIS; FUZZY INFERENCE; NEURAL NETWORKS; ROLLER BEARINGS; ROLLERS (MACHINE COMPONENTS);

FUZZY SYSTEMS;

EID: 73949093026     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.16-19.886     Document Type: Conference Paper

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