Sensor fusion for tool state classification in nickel superalloy high performance cutting

Procedia CIRP

Volumn 1, Issue 1, 2012, Pages 593-598

  Segreto, Tiziana ^a   Simeone, Alessandro ^a   Teti, Roberto ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Inconel 718; Multiple sensor monitoring; Neural networks; Principal component analysis; Sensor fusion; Tool wear; Turning

Indexed keywords

CUTTING FORCES; DATA MATRICES; HIGH DIMENSIONALITY; INCONEL-718; INPUT FEATURES; MULTIPLE SENSORS; NICKEL SUPERALLOY; PATTERN RECOGNITION PROCEDURES; PRINCIPAL COMPONENTS; SENSOR FUSION; SENSOR SIGNALS; SENSORY DATA; SIGNAL FEATURES; STATE CLASSIFICATION; TOOL WEAR; VIBRATION SENSING;

NEURAL NETWORKS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SENSORS; SIGNAL PROCESSING; TURNING; WEAR OF MATERIALS;

SENSOR DATA FUSION;

EID: 84879191464     PISSN: None     EISSN: 22128271     Source Type: Conference Proceeding    
DOI: 10.1016/j.procir.2012.04.105     Document Type: Conference Paper

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