Tool wear predictive model based on least squares support vector machines

Mechanical Systems and Signal Processing

Volumn 21, Issue 4, 2007, Pages 1799-1814

  Shi, Dongfeng ^a   Gindy, Nabil N ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Process monitoring; Support vector machine; Tool wear

Indexed keywords

CONDITION MONITORING; FEATURE EXTRACTION; MACHINE TOOLS; MATHEMATICAL MODELS; PREDICTIVE CONTROL SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; WEAR OF MATERIALS;

LEARNING CORRELATION; MULTIPLE SENSORY SIGNALS; PROCESS MONITORING; SUPPORT VECTOR MACHINES; TOOL WEAR;

MACHINING;

EID: 33846844788     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2006.07.016     Document Type: Article

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