Identification of feature set for effective tool condition monitoring by acoustic emission sensing

International Journal of Production Research

Volumn 42, Issue 5, 2004, Pages 901-918

  Sun, J ^a   Hong, G S ^a   Rahman, M ^a   Wong, Y S ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC EMISSIONS; ALGORITHMS; DECISION MAKING; LAGRANGE MULTIPLIERS; MATHEMATICAL MODELS; NEURAL NETWORKS; PATTERN RECOGNITION;

AUTOMATIC RELEVANCE DETERMINATION; SUPPORT VECTOR MACHINE; WEAR RECOGNITION SYSTEM;

CONDITION MONITORING;

EID: 1342329898     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207540310001626652     Document Type: Article

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