Authors : Y. Selaimia , H.A. Abbassi and A. Loudjani
Abstract: 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.
Y. Selaimia , H.A. Abbassi and A. Loudjani , 2006. Multi Neural Network Based Approach for Fault Detection and Diagnosis of A Dc Motor . Journal of Engineering and Applied Sciences, 1: 143-148.