Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2008.3528.3531TanohA. KonanD.K. KoffiM. YeoZ. KouacouM.A. KoffiB.K. N`guessanK.R. 122008819This 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
vibration signature.]]>Henao, H., H. Razik and G.A. Capollino,200541801807Prashad, H.,2002124468473Djebala, A., N. Ouelaa and N. Hamzaoui,200743339348McInerny, S.A. and Y. Dai,200346149156Chow, M.Y.,19971st Edn.,pp: 1-11, 113-135pp: 1-11, 113-135Kowalski, C.T. and T. Orlowska-Kowalska,200363435448Pan, F., S.R. Qin and L. Bo,200648467473