Effects of compressed sensing on classification of bearing faults with entropic features

2015 23rd European Signal Processing Conference, EUSIPCO 2015

Volumn , Issue , 2015, Pages 2256-2260

  Wong, M L D ^a   Zhang, M ^b   Nandi, A K ^b  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Malaysia)

^b BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Bearing Fault Classification; Com pressed Sensing; Machine Condition Monitoring; Sample Entropy

Indexed keywords

COMPRESSED SENSING; CONDITION MONITORING; ENTROPY; ROLLER BEARINGS; ROLLERS (MACHINE COMPONENTS); SIGNAL RECONSTRUCTION; SUPPORT VECTOR MACHINES;

BANDWIDTH REQUIREMENT; BEARING FAULT; CLASSIFICATION PERFORMANCE; FAULT TYPES; MACHINE CONDITION MONITORING; SAMPLE ENTROPY; TIME DOMAIN; VIBRATION SIGNAL;

SIGNAL PROCESSING;

EID: 84963976707     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EUSIPCO.2015.7362786     Document Type: Conference Paper

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