Y. Selaimia  , H.A. Abbassi  , A. Loudjani  , 
    Multi Neural Network Based Approach for Fault Detection and Diagnosis of A Dc Motor,
    Journal of Engineering and Applied Sciences,
    Volume 1,Issue 2,
    2006,
    Pages 143-148,
    ISSN 1816-949x,
    jeasci.2006.143.148,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2006.143.148)
    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.
    Keywords: Fault detection and diagnosis;multi neural network;Radial Basis Function (RBF) neural network;dc motor