A modified support vector data description based novelty detection approach for machinery components

Applied Soft Computing Journal

Volumn 13, Issue 2, 2013, Pages 1193-1205

  Wang, Shijin ^a   Yub, Jianbo ^b   Lapirac, Edzel ^c   Lee, Jay ^c  

^a TONGJI UNIVERSITY   (China)

^b SHANGHAI UNIVERSITY   (China)

^c University of Cincinnati   (United States)

Author keywords

Bearing; Novelty detection; One class classification; Parameter selection; Support vector data description

Indexed keywords

BEARINGS (STRUCTURAL); ECONOMIC AND SOCIAL EFFECTS; MACHINERY; ROLLER BEARINGS; TAPERED ROLLER BEARINGS; VECTORS;

MACHINERY COMPONENTS; MECHANICAL COMPONENTS; NOVELTY DETECTION; ONE-CLASS CLASSIFICATION; PARAMETER OPTIMIZATION; PARAMETER SELECTION; PERFORMANCE TRADE-OFF; SUPPORT VECTOR DATA DESCRIPTION;

DATA DESCRIPTION;

EID: 84881606574     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.11.005     Document Type: Article

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