Drilling wear detection and classification using vibration signals and artificial neural network

International Journal of Machine Tools and Manufacture

Volumn 43, Issue 7, 2003, Pages 707-720

  Abu Mahfouz, Issam ^a  

^a Mechanical Engineering Technology   (United States)

Author keywords

Drilling; Neural network; Pattern recognition; Perceptron; Process monitoring; Sensors; Supervised learning; Vibration analysis

Indexed keywords

ALGORITHMS; DRILLING; MACHINING; PATTERN RECOGNITION; SENSORS; VIBRATIONS (MECHANICAL); WEAR OF MATERIALS;

SUPERVISED LEARNING;

NEURAL NETWORKS;

EID: 0037402139     PISSN: 08906955     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0890-6955(03)00023-3     Document Type: Article

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