TY  - JOUR
T1  - Multi Neural Network Based Approach for Fault Detection and Diagnosis of A Dc Motor
AU - , Y. Selaimia AU - , H.A. Abbassi AU - , A. Loudjani 
JO  - Journal of Engineering and Applied Sciences
VL  - 1
IS  - 2
SP  - 143
EP  - 148
PY  - 2006
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2006.143.148
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2006.143.148
KW  - Fault detection and diagnosis
KW  -multi neural network
KW  -Radial Basis Function (RBF) neural network
KW  -dc motor
AB  - Recently, neural networks have emerged as potential tools in the area of fault detection and diagnosis. This study explores a multi neural network based fault detection and diagnosis approach. The network architecture adopted is an RBF. The approach has been applied for detection and diagnosis of suitable parameters failures on a dc motor. The simulation results illustrated that after training of the neural networks, the system is able to detect the different failures.
ER  -