Journal of Engineering and Applied Sciences

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Multi Neural Network Based Approach for Fault Detection and Diagnosis of A Dc Motor

Y. Selaimia , H.A. Abbassi and A. Loudjani
Page: 143-148 | Received 21 Sep 2022, Published online: 21 Sep 2022

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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.

How to cite this article:

Y. Selaimia , H.A. Abbassi and A. Loudjani . Multi Neural Network Based Approach for Fault Detection and Diagnosis of A Dc Motor.
DOI: https://doi.org/10.36478/jeasci.2006.143.148
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2006.143.148