SIMPLE EXPERT VISION SYSTEM FOR RECOGNITION OF BEARING'S DEFECTS
Abstract: Defects on a bearing
is usually determined by observing its vibration characteristics. 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.
Author: Agustian K. Herdianta,
Aulia M.T. Nasution
Journal Code: jptkomputergg120012
