Robust diagnosis of rolling element bearings based on classification techniques

IEEE Transactions on Industrial Informatics

Volumn 9, Issue 4, 2013, Pages 2256-2263

  Cococcioni, Marco ^a   Lazzerini, Beatrice ^a   Volpi, Sara Lioba ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

Conditionmonitoring; Fault diagnosis; Neural networks; Statistical classifiers

Indexed keywords

AUTOMATIC DETECTION; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CLASSIFICATION TECHNIQUE; DEGREE OF ROBUSTNESS; MECHANICAL DEVICE; ROLLING ELEMENT BEARING; STATISTICAL CLASSIFIER;

CLASSIFICATION (OF INFORMATION); CONDITION MONITORING; DEFECTS; FAILURE ANALYSIS; NEURAL NETWORKS; VIBRATIONS (MECHANICAL);

BEARINGS (MACHINE PARTS);

EID: 84886692745     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2012.2231084     Document Type: Article

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