Chatter detection in milling machines by neural network classification and feature selection

JVC/Journal of Vibration and Control

Volumn 21, Issue 7, 2015, Pages 1251-1266

  Lamraoui, Mourad ^a   Barakat, Mustapha ^b,c,d   Thomas, Marc ^a   Badaoui, Mohamed El ^b,c,d  

^a ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

^b UNIVERSITÉ DE LYON   (France)

^c UNIVERSITÉ JEAN MONNET   (France)

^d Laboratory of Signal and Industrial Process Analysis LASPI   (France)

Author keywords

Chatter detection; envelope; feature selection; machining; neural networks; resonance filtering

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER CONTROL SYSTEMS; CUTTING TOOLS; DATA ACQUISITION; FEATURE EXTRACTION; MACHINING; MILLING (MACHINING); MILLING MACHINES; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; RESONANCE; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO;

COMPUTER NUMERICAL CONTROL; ENVELOPE; FEATURES SELECTION; MATERIAL REMOVAL RATE; MULTI-LAYER PERCEPTRONS; NEURAL NETWORK CLASSIFICATION; RADIAL BASIS FUNCTIONS; VIBRATORY SIGNALS;

MULTILAYER NEURAL NETWORKS;

EID: 84926389237     PISSN: 10775463     EISSN: 17412986     Source Type: Journal    
DOI: 10.1177/1077546313493919     Document Type: Review

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