Intelligent fault diagnosis of rolling bearing based on kernel neighborhood rough sets and statistical features

Journal of Mechanical Science and Technology

Volumn 26, Issue 9, 2012, Pages 2649-2657

  Zhu, Xiaoran ^a   Zhang, Youyun ^a   Zhu, Yongsheng ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Feature selection; Intelligent fault diagnosis; Kernel method; Neighborhood rough sets

Indexed keywords

APPLICATION PROCESS; CLASSIFICATION ALGORITHM; CLASSIFICATION AND REGRESSION TREE; DATA SETS; DIAGNOSTIC APPROACH; EFFICIENT FEATURE SELECTIONS; FAULT FEATURE; FEATURE SELECTION ALGORITHM; INTELLIGENT FAULT DIAGNOSIS; KERNEL METHODS; RADIAL BASIS FUNCTIONS; ROLLING BEARINGS; ROUGH SET; SENSITIVE FEATURES; STATISTICAL FEATURES; TIME AND FREQUENCY DOMAINS;

ALGORITHMS; BEARINGS (MACHINE PARTS); RADIAL BASIS FUNCTION NETWORKS; ROUGH SET THEORY;

FEATURE EXTRACTION;

EID: 84866458649     PISSN: 1738494X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12206-012-0716-9     Document Type: Article

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