A support vector machine-based online tool condition monitoring for milling using sensor fusion and a genetic algorithm

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Volumn 226, Issue 11, 2012, Pages 1808-1818

  Kaya, Bulent ^a   Oysu, Cuneyt ^b   Ertunc, Huseyin M ^b   Ocak, Hasan ^b  

^a ERCIYES UNIVERSITY   (Turkey)

^b KOCAELI UNIVERSITY   (Turkey)

Author keywords

genetic algorithm; milling; online tool condition monitoring; sensor fusion; support vector machine; Tool wear

Indexed keywords

ACOUSTIC EMISSION SIGNAL; BINARY DECISION TREES; ON-LINE TOOLS; SENSOR FUSION; SUPPORT VECTOR MACHINE MODELS; THREE AXIS ACCELEROMETERS; TOOL CONDITION MONITORING; TOOL WEAR;

BINARY TREES; DECISION TREES; GENETIC ALGORITHMS; MILLING (MACHINING); SENSORS; SUPPORT VECTOR MACHINES;

MACHINE TOOLS;

EID: 84875879207     PISSN: 09544054     EISSN: 20412975     Source Type: Journal    
DOI: 10.1177/0954405412458047     Document Type: Article

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