Milling tool wear forecast based on the partial least-squares regression analysis

Structural Engineering and Mechanics

Volumn 31, Issue 1, 2009, Pages 57-74

  Xu, Chuangwen ^a,b   Chen, Hualing ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b LANZHOU UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Cutting experiment; Partial least squares regression; Singular value decomposition; Tool wear

Indexed keywords

BACKPROPAGATION; CHEMICAL CONTAMINATION; LEAST SQUARES APPROXIMATIONS; MILLING (MACHINING); REGRESSION ANALYSIS; SINGULAR VALUE DECOMPOSITION; WEAR OF MATERIALS;

CUTTING EXPERIMENT; GREY RELATIONAL DEGREE ANALYSIS; MULTIVARIATE LINEAR REGRESSIONS; PARTIAL LEAST SQUARES REGRESSION; PARTIAL LEAST SQUARES REGRESSION ANALYSIS; PARTIAL LEAST SQUARES REGRESSIONS (PLSR); SINGULAR VALUE THEORY; TOOL WEAR;

CUTTING TOOLS;

EID: 58149202500     PISSN: 12254568     EISSN: None     Source Type: Journal    
DOI: 10.12989/sem.2009.31.1.057     Document Type: Article

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