The method of fault feature extraction from acoustic emission signals using Wigner-Ville distribution

Advanced Materials Research

Volumn 216, Issue , 2011, Pages 732-737

  Bin, G F ^a   Liao, C J ^a   Li, X J ^a  

^a HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Ae signals; Fault feature extraction; Rolling bearing; Wigner Ville distribution

Indexed keywords

ACOUSTIC EMISSIONS; BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); DATA REDUCTION; FEATURE EXTRACTION;

ACOUSTIC EMISSION SIGNAL; AE SIGNALS; ANALYSIS METHOD; DAMAGED COMPONENTS; EXPERIMENTAL DATA ANALYSIS; FAULT DIAGNOSIS; FAULT FEATURE; HIGH ENERGY; MECHANICAL COMPONENTS; ROLLING BEARING; ROLLING BEARINGS; TIME-FREQUENCY RESOLUTION; WIGNER-VILLE DISTRIBUTION;

CONDITION MONITORING;

EID: 79953016562     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.216.732     Document Type: Conference Paper

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