Fuzzy logic-base tool breakage detecting system in end milling operations

Computers and Industrial Engineering

Volumn 35, Issue 1-2, 1998, Pages 37-40

  Huang, P T ^a   Chen, J C ^a  

^a IOWA STATE UNIVERSITY   (United States)

Author keywords

Conflicting rules; FL inference; Fuzzy if then rule bank; IDTBS; Peak force; Training data set; UMFS

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED MANUFACTURING; DATA REDUCTION; DATA STRUCTURES; DECISION MAKING; DECISION THEORY; FUZZY SETS; INFERENCE ENGINES; MILLING (MACHINING); SENSORS;

IN-PROCESS DETECTING TOOL BREAKAGE SYSTEMS (IDTBS); TRAINING DATA SETS; UNMANNED FLEXIBLE MANUFACTURING SYSTEMS (UFMS);

FLEXIBLE MANUFACTURING SYSTEMS;

EID: 0032183813     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0360-8352(98)00014-x     Document Type: Article

References (8)

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8. Chen, W. L., J. C. Chen, and L. Gimmel (in press). Analysis of an effective sensing location for detecting tool breakage in end milling operations. Journal of Industrial Technology.