This study deals with the early detection of damages
in rolling bearings of an asynchronous machine. It presents a neuronal
network based application for motor bearing fault diagnosis. Vibration
simulation is used to assist in the design of various motor rolling bearing
fault strategies. These simulation results indicate that neural networks
can be effective agents in the diagnosis of motor bearing fault through
A. Tanoh, D.K. Konan, M. Koffi, Z. Yeo, M.A. Kouacou, B.K. Koffi and K.R. N`guessan, 2008. A Neural Network Application for Diagnosis of the Asynchronous Machine. Journal of Applied Sciences, 8: 3528-3531.