TY - GEN
T1 - Detection of visual bearing defect using integrated artificial neural network
AU - Herdianta, Agustian K.
AU - Nasution, Aulia M.T.
PY - 2011
Y1 - 2011
N2 - The characteristics of bearing vibration can be used to detect common bearing defect, like noise defect etc. This method unfortunately can not detect the visual defects on the inner and outer ring bearing surface. A pattern recognition is implemented in this paper to solve the problem. A backpropagation neural network architecture is used to recognize the visual defect pattern. This architecture is integrated in a digital image processing chain. Recognition rate of good bearing is obtained at 92.93 %, meanwhile for defected bearing is obtained at 75 % respectively. This rate shows integrated artificial neural network with digital image processing can be implemented to detect the presence of visual bearing defect.
AB - The characteristics of bearing vibration can be used to detect common bearing defect, like noise defect etc. This method unfortunately can not detect the visual defects on the inner and outer ring bearing surface. A pattern recognition is implemented in this paper to solve the problem. A backpropagation neural network architecture is used to recognize the visual defect pattern. This architecture is integrated in a digital image processing chain. Recognition rate of good bearing is obtained at 92.93 %, meanwhile for defected bearing is obtained at 75 % respectively. This rate shows integrated artificial neural network with digital image processing can be implemented to detect the presence of visual bearing defect.
UR - https://www.scopus.com/pages/publications/84857331314
M3 - Conference contribution
AN - SCOPUS:84857331314
SN - 9789791421119
T3 - ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
SP - 391
EP - 394
BT - ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
T2 - 2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011
Y2 - 17 December 2011 through 18 December 2011
ER -