Self-learning algorithm for automated design of condition monitoring systems for milling operations

International Journal of Advanced Manufacturing Technology

Volumn 18, Issue 6, 2001, Pages 448-459

  Al Habaibeh, A ^a   Gindy, N ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Condition monitoring design; End milling; Neural networks; Self learning; Sensory fusion

Indexed keywords

ACOUSTIC EMISSIONS; ALGORITHMS; CONDITION MONITORING; FLEXIBLE MANUFACTURING SYSTEMS; NEURAL NETWORKS;

SELF-LEARNING ALGORITHMS;

COMMINUTION;

EID: 0034787026     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001700170054     Document Type: Article

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