Improved fault diagnosis of ball bearings based on the global spectrum of vibration signals

IEEE Transactions on Energy Conversion

Volumn 30, Issue 1, 2015, Pages 376-383

  Harmouche, Jinane ^a,b   Delpha, Claude ^a   Diallo, Demba ^b  

^a UNIV PARIS SUD   (France)

^b UNIV PARIS SUD   (France)

Author keywords

Bearings; envelope analysis; fault diagnosis; linear discriminant analysis (LDA); principal component analysis (PCA)

Indexed keywords

BALL BEARINGS; BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); DISCRIMINANT ANALYSIS; FAILURE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SPECTRUM ANALYSIS;

BHATTACHARYYA DISTANCE; CHARACTERISTIC FREQUENCIES; DISCRIMINATORY POWER; ENVELOPE ANALYSIS; LINEAR DISCRIMINANT ANALYSIS; ROLLING ELEMENT BEARING; SPECTRAL ANALYSIS METHOD; SPECTRAL SIGNATURE;

FAULT DETECTION;

EID: 85027935524     PISSN: 08858969     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEC.2014.2341620     Document Type: Article

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