Automated failure classification for assembly with self-tapping threaded fastenings using artificial neural networks

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Volumn 222, Issue 6, 2008, Pages 1081-1095

  Althoefer, K ^a   Lara, B ^b   Zweiri, Y H ^a   Seneviratne, L D ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b UNIVERSIDAD AUTÓNOMA DEL ESTADO DE MORELOS   (Mexico)

Author keywords

Artificial neurol networks; Assembly; Automated classification; Manufacturing; Radial basis function networks; Screw insertion; Self tapping fastenings

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; BACKPROPAGATION; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; COMPUTER SIMULATION; IMAGE CLASSIFICATION; MATHEMATICAL MODELS; OPTOELECTRONIC DEVICES; SELF ASSEMBLY; SENSOR NETWORKS; VEGETATION;

ARTIFICIAL NEURAL NETWORKS; ARTIFICIAL NEUROL NETWORKS; ASSEMBLY; AUTOMATED CLASSIFICATION; AUTOMATED MONITORING; ELECTRIC SCREWDRIVERS; FAILURE CLASSIFICATION; FAILURE-DETECTION; GENERALIZATION CAPABILITIES; INSERTION DEPTH; MANUFACTURING; NEW STRATEGY; OPTICAL-; RADIAL BASIS FUNCTION NETWORKS; RADIAL BASIS NEURAL NETWORKS; SCREW INSERTION; SELF-TAPPING FASTENINGS; SET-UP PROCEDURES; SIMULATION STUDIES; TEST RESULTS; THREADED FASTENINGS; TORQUE SENSORS;

NEURAL NETWORKS;

EID: 48649105312     PISSN: 09544062     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544062JMES546     Document Type: Article

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