Hybrid incremental modeling based on least squares and fuzzy K-NN for monitoring tool wear in turning processes

IEEE Transactions on Industrial Informatics

Volumn 8, Issue 4, 2012, Pages 811-818

  Penedo, Francisco ^a   Haber, Rodolfo E ^a,b   Gajate, Agustín ^b   Del Toro, Raúl M ^b  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^b CENTRE FOR AUTOMATION AND ROBOTICS   (Spain)

Author keywords

Fuzzy k nearest neighbors; hybrid model; machining processes; tool wear

Indexed keywords

COMPARATIVE STUDIES; COMPLEX PROCESSES; FUZZY K-NN; GLOBAL MODELS; HYBRID MODEL; INCREMENTAL MODELING; INCREMENTAL MODELS; ITERATIVE PROCESS; K-NEAREST NEIGHBORS; LEAST SQUARE; LEAST SQUARES REGRESSION; LOCAL MODEL; LOCALIZED NON-LINEARITIES; MACHINING PROCESS; MODELING STRATEGY; MONITORING SYSTEM; MONITORING TOOLS; NEURO-FUZZY MODEL; PERFORMANCE INDICES; QUADRATIC REGRESSION; SMOOTHING ALGORITHMS; TOOL WEAR; TURNING PROCESS;

ITERATIVE METHODS; TURNING;

WEAR OF MATERIALS;

EID: 84867939898     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2012.2205699     Document Type: Article

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