Study on feature selection and identification method of tool wear states based on SVM

International Journal on Smart Sensing and Intelligent Systems

Volumn 6, Issue 2, 2013, Pages 448-465

  Li, Weilin ^a   Fu, Pan ^a   Cao, Weiqing ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

Author keywords

Feature selection; Least squares support vector machines (LS SVM); Multi class support vector machine recursive feature elimination (SVM RFE); Tool condition monitoring

Indexed keywords

CONDITION MONITORING; CUTTING TOOLS; FEATURE SELECTION; MACHINE TOOLS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES; TIME DOMAIN ANALYSIS; VECTORS; WAVELET DECOMPOSITION; WEAR OF MATERIALS;

FEATURES SELECTION; IDENTIFICATION METHOD; LEAST SQUARE SUPPORT VECTOR MACHINE; LEAST SQUARE SUPPORT VECTOR MACHINES; MULTI-CLASS SUPPORT VECTOR MACHINE RECURSIVE FEATURE ELIMINATION; MULTI-CLASS SUPPORT VECTOR MACHINES; SUPPORT VECTOR MACHINE RECURSIVE FEATURE ELIMINATIONS; TOOL CONDITION MONITORING; TOOL WEAR; WEAR STATE;

MILLING (MACHINING);

EID: 84878922869     PISSN: None     EISSN: 11785608     Source Type: Journal    
DOI: 10.21307/ijssis-2017-549     Document Type: Article

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