Remaining useful life estimation in rolling bearings utilizing data-driven probabilistic E-support vectors regression

IEEE Transactions on Reliability

Volumn 62, Issue 4, 2013, Pages 821-832

  Loutas, Theodoros H ^a   Roulias, Dimitrios ^a   Georgoulas, George ^b  

^a UNIVERSITY OF PATRAS   (Greece)

^b Epirus Institute of Technology Arta   (Greece)

Author keywords

Condition based maintenance; Prognostics; Remaining useful life; Support vector regression

Indexed keywords

CONDITION BASED MAINTENANCE; DATA-DRIVEN APPROACH; DIAGNOSTIC PERFORMANCE; MULTIPLE STATISTICAL FEATURES; PROGNOSTICS; REMAINING USEFUL LIVES; ROLLING ELEMENT BEARING; SUPPORT VECTOR REGRESSION (SVR);

BEARINGS (MACHINE PARTS); CONDITION MONITORING; ERROR ANALYSIS; ROLLER BEARINGS;

REGRESSION ANALYSIS;

EID: 84890425282     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/TR.2013.2285318     Document Type: Article

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