Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors

Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors

Nowadays, many industrial applications require online systems that combine several processing techniques in order to offer solutions to complex problems as the case of detection and classification of multiple faults in induction motors. In this work, a novel digital structure to implement the empiri...

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Bibliographic Details
Main Authors:	David Camarena-Martinez, Martin Valtierra-Rodriguez, Arturo Garcia-Perez, Roque Alfredo Osornio-Rios, Rene de Jesus Romero-Troncoso
Format:	Article
Language:	English
Published:	Wiley 2014-01-01
Series:	The Scientific World Journal
Online Access:	http://dx.doi.org/10.1155/2014/908140
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