The use of neural network and discrete Fourier transform for real-time evaluation of friction stir welding

Applied Soft Computing Journal

Volumn 11, Issue 8, 2011, Pages 4839-4846

  Boldsaikhan, Enkhsaikhan ^a   Corwin, Edward M ^b   Logar, Antonette M ^b   Arbegast, William J ^c  

^a WICHITA STATE UNIVERSITY   (United States)

^b South Dakota School of Mines and Technology   (United States)

^c SOUTH DAKOTA SCHOOL OF MINES AND TECHNOLOGY   (United States)

Author keywords

Discrete Fourier transform; Frequency pattern recognition; Friction stir welding; Neural networks

Indexed keywords

CLASSIFICATION ACCURACY; DATA SETS; FEED BACK INFORMATION; FEEDBACK FORCES; FREQUENCY PATTERNS; FREQUENCY SPECTRA; NON DESTRUCTIVE; PLASTICIZED MATERIALS; WELD QUALITY; WELDING PROCESS; WORMHOLE DEFECTS;

BACKPROPAGATION ALGORITHMS; DEFECTS; DISCRETE FOURIER TRANSFORMS; FRICTION; GAS WELDING; MULTILAYER NEURAL NETWORKS; NETWORK LAYERS; NEURAL NETWORKS; PATTERN RECOGNITION; SPECTROSCOPY; TRIBOLOGY; WELDS;

FRICTION STIR WELDING;

EID: 80053562296     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.06.017     Document Type: Article

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