Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
In this study, neuro based intelligent methods for electrical motors’ sound recognition system are proposed. The sound signals were used to recognize the loads speed and fault diagnosis of the motors. The sound signals were processed by two separate methods, the FFT and Discrete Wavelet Transform (DWT). The results of both methods were compared to obtain the most suitable of them.
How to cite this article:
Loay S. Yahya, Thakwan M. Saleem and Basman M. Hasan. The Application of Neural Network to Electrical Motors’ Sound Recognition System.
DOI: https://doi.org/10.36478/jeasci.2012.191.193
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2012.191.193